CN109919551B

CN109919551B - Logistics service providing method and device, electronic equipment and readable storage medium

Info

Publication number: CN109919551B
Application number: CN201910176500.3A
Authority: CN
Inventors: 卢丽芬
Original assignee: Lazas Network Technology Shanghai Co Ltd
Current assignee: Lazas Network Technology Shanghai Co Ltd
Priority date: 2019-03-08
Filing date: 2019-03-08
Publication date: 2020-11-13
Anticipated expiration: 2039-03-08
Also published as: WO2020182054A1; CN109919551A

Abstract

The embodiment of the disclosure discloses a logistics service providing method, a logistics service providing device, an electronic device and a readable storage medium, wherein the method comprises the following steps: acquiring characteristics related to the behavior of canceling the logistics order and real-time transport capacity information; and determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information, and determining a proper resource providing mode for providing resources to the logistics order taker, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

Description

Logistics service providing method and device, electronic equipment and readable storage medium

Technical Field

The disclosure relates to the technical field of internet, in particular to a logistics service providing method and device, electronic equipment and a readable storage medium.

Background

A platform providing courier services may provide a service calling for logistics for sellers such as O2O merchants. For example, in the case of local delivery of O2O, after the O2O merchant calls for delivery, a crowd-sourced rider-robbed delivery order or logistic order link is entered. The rider can pick up a logistics order suitable for the rider according to the distance, the price, the distribution difficulty degree and other factors of the distribution order and start distribution. The order distribution of the seller is uneven, so the position of the seller, the type of the delivered articles, the distance of the logistics order and the like are different. In this case, the distribution party receives the distribution orders from each of the vendors at different rates (the rate at which the distribution orders are received) and waits for the distribution party such as a rider after the distribution of the distribution orders. Moreover, in the case that some vendors have many distribution service providers, the distribution service provider takes too long an order to cancel the logistics order. For a platform providing express delivery service, a situation that a merchant and a logistics order run off may be faced. Therefore, it is difficult for the related art to shorten the order taking time of the logistics order and increase the order taking probability to guarantee the progress of the logistics service.

Disclosure of Invention

In order to solve the problems in the related art, embodiments of the present disclosure provide a logistics service providing method, apparatus, electronic device, and readable storage medium.

In a first aspect, an embodiment of the present disclosure provides a method for providing a logistics service, including:

acquiring characteristics related to the behavior of canceling the logistics order and real-time transport capacity information;

and determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information.

With reference to the first aspect, in a first implementation manner of the first aspect, the present disclosure further includes:

and providing resources for the logistics order taker taking the current logistics order according to the determined resource providing mode.

With reference to the first aspect, in a second implementation manner of the first aspect, the determining a resource providing manner according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:

estimating the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed and the cancellation probability of the current logistics order to be cancelled by the logistics order issuing party based on the information of the current logistics order, the characteristics related to the behavior of cancelling the logistics order and the real-time transportation capacity information;

and determining a resource providing mode according to the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be taken, the cancellation probability of the current logistics order cancelled by the logistics order issuing party and the real-time transport capacity information.

With reference to the first aspect, in a third implementation manner of the first aspect, the determining a resource providing manner according to the feature related to the behavior of canceling the logistics order and the real-time capacity information includes:

estimating order receiving duration and order receiving probability of a logistics order receiving party for receiving a current logistics order based on the real-time transport capacity information;

and determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order, and the order receiving duration and the order receiving probability of the logistics order receiver for receiving the current logistics order.

With reference to the first aspect or any one of the first to third implementation manners of the first aspect, in a fourth implementation manner of the first aspect, the determining a resource provision manner according to the feature related to the behavior of canceling the logistics order and the real-time capacity information includes:

matching the maximum waiting time for the logistics order sending party to wait for the current logistics order to be taken and the cancellation probability of the current logistics order cancelled by the logistics order sending party with the order taking time and the order taking probability of the logistics order taking party to take the current logistics order so as to calculate the time and the quantity of resources for the logistics order taking party to take the current logistics order.

With reference to the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the providing resources to the logistics order taker that takes the current logistics order according to the determined resource providing manner includes:

and at the calculated time, providing resources for a logistics order taker for taking the current logistics order according to the calculated quantity of the resources.

With reference to the fourth implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the present disclosure further includes:

and informing the potential logistics order taker of the current logistics order of the time and the quantity of the resources to be provided for the logistics order taker who takes the current logistics order.

With reference to the fourth implementation manner of the first aspect, in a seventh implementation manner of the first aspect, the present disclosure further includes:

and informing the logistics order issuing party of the time and the quantity of the resources to be provided for the logistics order receiving party receiving the current logistics order.

With reference to the fourth implementation manner of the first aspect, in an eighth implementation manner of the first aspect, the calculating time and the resource amount for providing resources for a logistics order taker that takes the current logistics order for the current logistics order includes:

and calculating the time and the quantity of resources provided by a logistics order taker for taking the current logistics order aiming at the current logistics order according to a preset resource management rule.

With reference to the first aspect or any one of the first to third implementation manners of the first aspect, in a ninth implementation manner of the first aspect, the acquiring the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information includes:

and obtaining a cancellation portrait of the logistics order cancellation of the logistics order issuing party according to the characteristics related to the behavior of the logistics order cancellation and the real-time transportation capacity information.

With reference to the third implementation manner of the first aspect, in a tenth implementation manner of the first aspect, the estimating, based on the real-time transportation capacity information, an order taking duration and an order taking probability for a logistics order taker to take a current logistics order includes:

and calculating the order receiving duration and the order receiving probability of the logistics order receiving party for receiving the current logistics order based on the real-time transport capacity information of the area where the current logistics order is generated.

With reference to the first aspect or any one of the first to third implementation manners of the first aspect, in an eleventh implementation manner of the first aspect, the feature related to the behavior of canceling the logistics order includes data related to behavior of canceling a historical logistics order of the logistics order issuer and delivery difficulty data of the logistics order issued by the logistics order issuer.

In a second aspect, an embodiment of the present disclosure provides a logistics service providing apparatus, including:

an acquisition module configured to acquire characteristics related to an action of canceling a logistics order and real-time transportation capacity information;

a determining module configured to determine a resource providing manner according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

With reference to the second aspect, in a first implementation manner of the second aspect, the present disclosure further includes:

and the providing module is configured to provide resources to the logistics order taker taking the current logistics order according to the determined resource providing mode.

With reference to the second aspect, in a second implementation manner of the second aspect, the determining module includes:

a first estimation sub-module configured to estimate, based on information of a current logistics order, the characteristics related to behavior of canceling the logistics order, and the real-time transportation information, a maximum waiting time for a logistics order issuer to wait for the current logistics order to be taken and a cancellation probability that the current logistics order is cancelled by the logistics order issuer;

the first determining submodule is configured to determine a resource providing mode according to the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed, the cancellation probability of the current logistics order cancelled by the logistics order issuing party, and the real-time transport capacity information.

With reference to the second aspect, in a third implementation manner of the second aspect, the determining module includes:

the second estimation submodule is configured to estimate the order receiving duration and the order receiving probability of the logistics order receiver for receiving the current logistics order based on the real-time transport capacity information;

and the second determining submodule is configured to determine a resource providing mode according to the characteristics related to the behavior of canceling the logistics order, and the order taking duration and the order taking probability of the logistics order taker for taking the current logistics order.

With reference to the second aspect or any one of the first to third implementations of the second aspect, in a fourth implementation of the second aspect, the determining module is further configured to:

With reference to the fourth implementation manner of the second aspect, in a fifth implementation manner of the second aspect, the providing module is further configured to:

With reference to the fourth implementation manner of the second aspect, in a sixth implementation manner of the second aspect, the present disclosure further includes:

a first notification module configured to notify the potential logistics order taker of the current logistics order of the time and the amount of resources to be provided to the logistics order taker that took the current logistics order.

With reference to the fourth implementation manner of the second aspect, in a seventh implementation manner of the second aspect, the present disclosure further includes:

and the second notification module is configured to notify the physical distribution order sending party of the time and the quantity of the resources to be provided to the physical distribution order receiving party receiving the current physical distribution order.

With reference to the fourth implementation manner of the second aspect, in an eighth implementation manner of the second aspect, the determining module is further configured to:

With reference to the second aspect or any one of the first to third implementations of the second aspect, in a ninth implementation of the second aspect, the obtaining module is further configured to:

With reference to the third implementation manner of the second aspect, in a tenth implementation manner of the second aspect, the second estimation module is further configured to:

With reference to the second aspect or any one of the first to third implementation manners of the second aspect, in an eleventh implementation manner of the second aspect, the characteristics related to behavior of canceling a logistics order include data related to behavior of canceling a historical logistics order of the logistics order issuer and delivery difficulty data of a logistics order issued by the logistics order issuer.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including a memory and a processor; wherein,

the memory is configured to store one or more computer instructions, where the one or more computer instructions are executed by the processor to implement the method according to the first aspect, the first implementation manner of the first aspect, or any one of the eleventh implementation manners.

In a fourth aspect, an embodiment of the present disclosure provides a readable storage medium, on which computer instructions are stored, and when executed by a processor, the computer instructions implement the method according to any one of the first aspect, the first implementation manner to the eleventh implementation manner of the first aspect.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

according to the technical scheme provided by the embodiment of the disclosure, the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information are acquired; and determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information, and determining a proper resource providing mode for providing resources to the logistics order taker, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the logistics order taker who takes the current logistics order is provided with resources according to the determined resource providing mode, so that the logistics order taker can be specifically stimulated to shorten the order taking time of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information comprises the following steps: estimating the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed and the cancellation probability of the current logistics order to be cancelled by the logistics order issuing party based on the information of the current logistics order, the characteristics related to the behavior of cancelling the logistics order and the real-time transportation capacity information; determining a resource providing mode according to the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be taken, the cancellation probability of the current logistics order cancelled by the logistics order issuing party and the real-time transportation capacity information can help determine a proper resource providing mode for providing resources for the logistics order receiving party, and therefore the logistics order receiving party is encouraged to shorten the order taking time of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information comprises the following steps: estimating order receiving duration and order receiving probability of a logistics order receiving party for receiving a current logistics order based on the real-time transport capacity information; determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order, and the order taking duration and the order taking probability of the logistics order taker taking the current logistics order can be helpful for determining a proper resource providing mode for providing resources to the logistics order taker, so that the logistics order taker is encouraged to shorten the order taking duration of the logistics order and promote the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information comprises the following steps: the maximum waiting time for the logistics order sending party to wait for the current logistics order to be taken and the cancellation probability for the current logistics order to be cancelled by the logistics order sending party are matched with the order taking time and the order taking probability for the logistics order receiving party to take the current logistics order, so that the time and the quantity of resources for providing the resources for the logistics order receiving party to take the current logistics order are calculated, and a proper resource providing mode for providing the resources for the logistics order receiving party can be determined, so that the logistics order receiving party is stimulated to shorten the order taking time for the logistics order and the order taking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the step of providing resources to a logistics order taker taking a current logistics order according to the determined resource providing mode comprises the following steps: and at the calculated time, providing resources to the logistics order taker for taking the current logistics order according to the calculated quantity of the resources, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the time and the quantity of the resources to be provided for the logistics order taker who takes the current logistics order are notified to the potential logistics order taker of the current logistics order, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the time and the quantity of the resources to be provided for the logistics order taker who takes the current logistics order are notified to the logistics order sender, so that the logistics order sender is stimulated to keep or prolong the maximum waiting time, the order taking probability is improved to ensure the logistics service, and the customer viscosity of the logistics order sender to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the present disclosure, calculating the time and the quantity of resources provided by the logistics order taker who takes the current logistics order for the current logistics order by the calculation includes: according to a preset resource management rule, the time and the quantity of resources provided by a logistics order taker for taking the current logistics order for the current logistics order are calculated, so that a proper resource providing mode for providing the resources for the logistics order taker can be determined, the logistics order taker is stimulated to shorten the order taking time of the logistics order, and the order taking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the acquiring the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information comprises the following steps: the cancel portrait of the logistics order cancel of the logistics order issuing party is obtained according to the characteristics related to the behavior of the logistics order cancel and the real-time transportation capacity information, and the method can be helpful for determining a proper resource providing mode for providing resources for the logistics order receiving party, so that the logistics order receiving party is encouraged to shorten the order receiving time of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the estimating of the order taking duration and the order taking probability of the logistics order taker for taking the current logistics order based on the real-time transportation capacity information comprises the following steps: the order receiving time and the order receiving probability of the logistics order taker for taking the current logistics order are calculated based on the real-time transport capacity information of the area where the current logistics order is generated, and the method can be helpful for determining a proper resource providing mode for providing resources for the logistics order taker, so that the logistics order taker is encouraged to shorten the order receiving time of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

According to the technical scheme provided by the embodiment of the disclosure, the characteristics related to the behavior of canceling the logistics order include data related to the behavior of canceling a historical logistics order of the logistics order issuing party and distribution difficulty data of the logistics order issued by the logistics order issuing party, so that the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be picked can be accurately estimated, and an appropriate resource providing mode for providing resources to the logistics order picking party for picking the current logistics order is determined, so that the logistics order picking party is stimulated to shorten the order picking time of the logistics order, and the order picking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

Other labels, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. In the drawings:

fig. 1 illustrates a flowchart of a logistics service providing method according to an embodiment of the present disclosure;

fig. 2 illustrates a flowchart of a logistics service providing method according to another embodiment of the present disclosure;

fig. 3 shows a flowchart of one example of step S102 in the logistics service providing method according to an embodiment of the present disclosure;

fig. 4 is a flowchart illustrating another example of step S102 in the logistics service providing method according to an embodiment of the present disclosure;

fig. 5 illustrates a flowchart of a logistics service providing method according to yet another embodiment of the present disclosure;

fig. 6 is a flowchart illustrating an application scenario of a logistics service providing method according to an embodiment of the present disclosure;

fig. 7 is a block diagram illustrating a structure of a logistics service providing apparatus according to an embodiment of the present disclosure;

fig. 8 is a block diagram illustrating a structure of a logistics service providing apparatus according to another embodiment of the present disclosure;

fig. 9 illustrates a block diagram of a structure of an example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure;

fig. 10 is a block diagram illustrating the structure of another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure;

fig. 11 is a block diagram illustrating a structure of a logistics service providing apparatus according to still another embodiment of the present disclosure;

FIG. 12 shows a block diagram of an electronic device according to an embodiment of the present disclosure;

fig. 13 is a schematic structural diagram of a computer system suitable for implementing a logistics service providing method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.

In the present disclosure, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of labels, numbers, steps, actions, components, parts, or combinations thereof disclosed in the present specification, and are not intended to preclude the possibility that one or more other labels, numbers, steps, actions, components, parts, or combinations thereof are present or added.

It should be further noted that the embodiments and labels in the embodiments of the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

According to the technical scheme provided by the embodiment of the disclosure, the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information are acquired; the resource providing mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information, and the appropriate resource providing mode for providing resources for the logistics order taker can be determined, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

Fig. 1 illustrates a flowchart of a logistics service providing method according to an embodiment of the present disclosure. As shown in fig. 1, the logistics service providing method includes the following steps S110 and S120:

in step S110, characteristics related to the behavior of canceling the logistics order and real-time transportation capacity information are acquired.

In step S120, a resource providing manner is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information.

In the present disclosure, the range of logistics services may include city express and transportation, provincial and city-wide express and transportation, country-wide express and transportation, and the like.

In the present disclosure, after a seller of a commodity order selects a logistics service on a platform providing the logistics service, a logistics order of the logistics service may be generated for the commodity order. It is noted that in the embodiments of the present disclosure, the order of goods or goods sold by a seller to a purchaser is referred to as a "goods order". In an embodiment of the present disclosure, a "logistics order" refers to a logistics service order for a "goods order".

In the present disclosure, the physical distribution order issuing party (also referred to as an issuing party for short) may cancel the physical distribution order when issuing the physical distribution order (also referred to as an issuing party for short) because the order receiving duration of waiting for the physical distribution order receiving party (also referred to as an accepting party for short) to receive the physical distribution order (also referred to as an accepting party for short) exceeds the expected order receiving duration thereof. For example, an O2O merchant expects a rider (or distributor) to pick up an order within 5 minutes after issuing an order on the platform providing logistics services, i.e., the estimated maximum wait time is 5 minutes, but the platform providing logistics services estimates that the rider's order pick-up time may exceed 5 minutes, for example, up to 10 minutes. At this point, the O2O merchant may cancel the flow order because the order pickup time period exceeds the maximum wait time period. The behavior of canceling the logistics order by the logistics order issuing party may cause the logistics order loss of the platform providing the logistics service, and also affect the efficiency of executing the commodity order by the order issuing party.

In one embodiment of the present disclosure, the characteristics related to the behavior of canceling the physical distribution order include data related to the behavior of canceling a historical physical distribution order of the physical distribution order issuing party and delivery difficulty data of the physical distribution order issued by the physical distribution order issuing party. This helps to accurately estimate the maximum waiting time for the physical distribution order issuing party to wait for the current physical distribution order to be taken, and to determine an appropriate resource providing manner for providing resources to the physical distribution order receiving party that receives the current physical distribution order, thereby helping to encourage the physical distribution order receiving party to shorten the order taking time for the physical distribution order and to improve the order taking probability to ensure the progress of the physical distribution service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In one embodiment of the present disclosure, the data of the physical distribution order issuer related to the behavior of canceling the historical physical distribution order may include: the system comprises a logistics order issuing party, a data processing system and a data processing system, wherein the logistics order issuing party comprises various data such as willingness to cancel a logistics order, maximum waiting time, price sensitivity, waiting time in severe weather and the like. It is to be noted that, in the embodiment of the present disclosure, the "data of the physical distribution order issuer relating to the action of canceling the historical physical distribution order" is different from the "feature relating to the action of canceling the physical distribution order by the physical distribution order issuer, which is the data describing the attribute of the physical distribution order issuer itself directly relating to the physical distribution order issuer itself and directly relating to the action of canceling the physical distribution order"; the latter includes data and information that is not directly related to the logistics order issuer, but is directly related to the act of the order issuer canceling the logistics order.

In an embodiment of the present disclosure, the distribution difficulty data of the logistics order issued by the logistics order issuing party may include data of the type, distribution distance, picking point distribution difficulty, and the like of the goods in the logistics order of the order issuing party. In another embodiment, the distribution difficulty data of the logistics order issued by the comprehensive logistics order issuing party can be calculated based on the data of the commodity class, the distribution distance, the picking point distribution difficulty and the like in the logistics order issued by the logistics order issuing party. It should be understood that the distribution difficulty data of the logistics order issued by the logistics order issuing party may include the distribution difficulty data of the historical logistics order issued by the logistics order issuing party, and may also include the distribution difficulty data of the current logistics order issued by the logistics order issuing party, which is not limited by the present disclosure. As will be understood by those skilled in the art, the distribution difficulty data of the logistics order issued by the logistics order issuing party can be obtained and calculated by means in the related art, and the details of the disclosure are not repeated herein.

In one embodiment of the present disclosure, the capacity information includes: data such as the area where the physical distribution order issuer is located or the area where the physical distribution order is generated (e.g., a business district), the capacity of the offerings in the area, whether the physical distribution order issuer uses the capacity of the offerings, and the like. In the embodiment of the present disclosure, the area refers to a geographical area where the physical distribution order issuer is located, and may refer to a service range, a business radiation range, a delivery range, and the like of the physical distribution order issuer. In the embodiments of the present disclosure, the transport capacity refers to a transport capacity, and may also refer to an object providing the transport capacity. In an embodiment of the present disclosure, the transport capacity information may refer to information related to transport capacity and an object providing the transport capacity. In an embodiment of the present disclosure, the competitive goods capacity refers to capacity other than that provided by a platform implementing the logistics service providing scheme according to an embodiment of the present disclosure. It should be understood that the transportation capacity information of the area where the logistics order issuer is located may include historical transportation capacity information of the area where the logistics order issuer is located, and may also include real-time transportation capacity information of the area where the logistics order issuer is located, which is not limited by the present disclosure. It will be understood by those skilled in the art that the transportation capability information of the area where the physical distribution order issuer is located can be acquired and calculated by means of the related art, for example, from the user image of the physical distribution order issuer. This disclosure will not be repeated here.

In one embodiment of the present disclosure, acquiring real-time capacity information may refer to acquiring real-time capacity information in an area where a logistics order is generated. It will be appreciated by those skilled in the art that since capacity information in an area may change from time to time, real-time capacity information may need to be obtained if logistics services are to be provided.

In one embodiment of the present disclosure, step S110 includes: and obtaining a cancellation portrait of the logistics order cancellation of the logistics order issuing party according to the characteristics related to the behavior of the logistics order cancellation and the real-time transportation capacity information.

In related fields, a user portrait is also called a user role and is an effective tool for delineating target users and connecting user appeal and design direction, and the user portrait is widely applied in various fields. The user portrait is widely applied to the field of internet, user information is flooded in the network under the background of big data era, each concrete information of the user is abstracted into labels, and the labels are utilized to form the user portrait, so that targeted service is provided for the user.

In the embodiment of the present disclosure, canceling the portrait of the logistics order issuing party refers to an aspect of the user portrait of the logistics order issuing party, that is, a portrait formed by using a tag related to a behavior of canceling the logistics order included in the user portrait of the logistics order issuing party. In the embodiment of the present disclosure, the main body described by the cancellation image of the physical distribution order issuer cancellation physical distribution order is "behavior of the physical distribution order issuer cancellation physical distribution order".

According to the technical scheme provided by the embodiment of the disclosure, the method for obtaining the characteristics and the real-time transport capacity information related to the behavior of canceling the logistics order comprises the following steps: the method has the advantages that the cancel portrait of the logistics order cancel of the logistics order issuing party is obtained according to the characteristics related to the behavior of the logistics order cancel and the real-time transportation capacity information, and the method is helpful for determining a proper resource providing mode for providing resources for the logistics order receiving party, so that the logistics order receiving party is encouraged to shorten the order receiving time of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

Those skilled in the art will appreciate that the user image of the logistic order issuer may be obtained and the image may be cancelled by means in the related art, which will not be described in detail in this disclosure.

A logistics service providing method according to another embodiment of the present disclosure is described below with reference to fig. 2.

Fig. 2 illustrates a flowchart of a logistics service providing method according to another embodiment of the present disclosure. The logistics service providing method in the embodiment shown in fig. 2 is different from the logistics service providing method in the embodiment shown in fig. 1 in that the following step S210 is further included.

In step S210, resources are provided to the logistics order taker that takes the current logistics order according to the determined resource providing manner.

In one embodiment of the present disclosure, the resource providing manner refers to a manner of providing resources to a logistics order taker of a current logistics order. For example, in the scenario of local delivery of O2O, this resource provisioning manner may refer to adding a tip amount and policy to the distributor (the physical distribution order taker) to encourage the distributor to take the current physical distribution order as soon as possible while avoiding the merchant (the physical distribution order issuer) from canceling the current order.

One example of step S102 in the logistics service providing method according to an embodiment of the present disclosure is described below with reference to fig. 3.

Fig. 3 shows a flowchart of one example of step S102 in the logistics service providing method according to an embodiment of the present disclosure. As shown in fig. 3, step S120 includes the following steps S310 and S320:

in step S310, based on the characteristics related to the behavior of canceling the physical distribution order and the real-time capacity information, a maximum waiting time for the physical distribution order issuing party to wait for the current physical distribution order to be taken and a cancellation probability for the current physical distribution order to be canceled by the physical distribution order issuing party are estimated.

In step S320, a resource providing manner is determined according to the maximum waiting time for the physical distribution order issuing party to wait for the current physical distribution order to be taken, the cancellation probability for the current physical distribution order to be cancelled by the physical distribution order issuing party, and the real-time transportation capability information.

According to the technical scheme provided by the embodiment of the disclosure, the resource providing mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information, and the resource providing mode comprises the following steps: estimating the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed and the cancellation probability of the current logistics order to be cancelled by the logistics order issuing party based on the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information; the resource providing mode is determined according to the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be taken, the cancellation probability for the current logistics order to be cancelled by the logistics order issuing party and the real-time transportation capacity information, and the resource providing mode can be favorably determined to provide resources for the logistics order receiving party, so that the logistics order receiving party is favorably stimulated to shorten the order receiving time of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In one embodiment of the present disclosure, the maximum waiting time period for the physical distribution order issuer to wait for the current physical distribution order to be taken is the waiting time period estimated based on the characteristics related to the behavior of the physical distribution order issuer to cancel the physical distribution order, and does not refer to the actual maximum waiting time period for the current physical distribution order by the physical distribution order issuer. The estimation of the maximum waiting time is helpful for determining a resource providing mode for providing resources to a logistics order taker for taking the current logistics order.

In an embodiment of the present disclosure, after the physical distribution order is placed by the physical distribution order placing party, the predicted waiting time of the current physical distribution order may be calculated according to the specific information of the current physical distribution order (or referred to as representation of the physical distribution order) and the real-time transportation information of the area where the current physical distribution order is placed. And then, calculating the maximum waiting time of the physical distribution order issuing party for the current physical distribution order and the cancellation probability of the current physical distribution order cancelled by the physical distribution order issuing party according to the predicted waiting time and the cancellation picture of the physical distribution order issuing party.

One example of step S102 in the logistics service providing method according to an embodiment of the present disclosure is described below with reference to fig. 4.

Fig. 4 shows a flowchart of one example of step S102 in the logistics service providing method according to an embodiment of the present disclosure. As shown in fig. 4, step S120 includes the following steps S410 and S420:

in step S410, an order receiving duration and an order receiving probability for the logistics order receiver to receive the current logistics order are estimated based on the real-time transportation capacity information.

In step S420, a resource providing manner is determined according to the characteristics related to the behavior of canceling the logistics order, and the order taking duration and the order taking probability of the logistics order taker taking the current logistics order.

In one embodiment of the present disclosure, the order taking duration and the order taking probability of the logistics order taker taking the current logistics order may be estimated based on the real-time capacity information by technical means in the related art.

In one embodiment of the present disclosure, step S410 includes: and calculating the order receiving duration and the order receiving probability of the receiving party of the logistics order for receiving the current logistics order based on the real-time transport capacity information of the area where the current logistics order is generated.

According to the technical scheme provided by the embodiment of the disclosure, the method for estimating order receiving duration and the order receiving probability of a logistics order receiver for receiving a current logistics order based on real-time transportation capacity information comprises the following steps: the method and the device have the advantages that the order receiving duration and the order receiving probability of the logistics order taker for taking the current logistics order are calculated based on the real-time transport capacity information of the area where the current logistics order is generated, and the method and the device can be helpful for determining a proper resource providing mode for providing resources for the logistics order taker, so that the logistics order taker is encouraged to shorten the order receiving duration of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

A flow chart of a logistics service providing method according to still another embodiment of the present disclosure is described below with reference to fig. 5.

Fig. 5 illustrates a flowchart of a logistics service providing method according to yet another embodiment of the present disclosure. The logistics service providing method in the embodiment shown in fig. 5 is different from the logistics service providing method in the embodiment shown in fig. 1 in that step S120 includes step S510, and the method further includes steps S520 and S530.

In step S510, the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be taken and the cancellation probability for the current logistics order to be cancelled by the logistics order issuing party are matched with the order taking time and the order taking probability for the logistics order receiving party to take the current logistics order, so as to calculate the time and the quantity of resources for the logistics order receiving party to take the current logistics order for the current logistics order.

According to the technical scheme provided by the embodiment of the disclosure, the resource providing mode is determined according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information, and the resource providing mode comprises the following steps: the maximum waiting time for the logistics order sending party to wait for the current logistics order to be taken and the cancellation probability for the current logistics order to be cancelled by the logistics order sending party are matched with the order taking time and the order taking probability for the logistics order receiving party to take the current logistics order, so that the time and the quantity of resources for providing the resources for the logistics order receiving party to take the current logistics order are calculated, a proper resource providing mode for providing the resources for the logistics order receiving party can be determined, the logistics order receiving party is stimulated to shorten the order taking time of the logistics order, and the order taking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In the present disclosure, the resource providing manner may be determined in various ways. In one embodiment of the present disclosure, the resource providing manner may be determined only with reference to the embodiment shown in fig. 3. In one embodiment of the present disclosure, the resource providing manner may be determined only with reference to the embodiment shown in fig. 4. In one embodiment of the present disclosure, the implementation shown in fig. 3 may be combined with the implementation shown in fig. 4 to determine the resource providing manner.

In an embodiment of the present disclosure, the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be taken and the cancellation probability for the current logistics order to be cancelled by the logistics order issuing party may be matched (calculated or compared) with the order taking time and the order taking probability for the logistics order receiving party to take the current logistics order, so as to determine whether the order taking probability and the order taking time for the logistics order receiving party to take the current order can meet the maximum waiting time requirement of the logistics order issuing party, and further determine the resource providing manner to encourage the logistics order receiving party to take the current logistics order before the maximum waiting time of the logistics order issuing party reaches.

In some cases, the change of the order taking probability and the change of the order taking duration of the current order of the logistics order taker are contradictory to each other, and the order taking time is longer when the order taking probability is higher; when the order taking probability is lower, the order taking time is shorter. According to the related art, an optimal scheme of the order taking probability and the order taking duration can be provided, for example, the order taking duration is determined when the order taking probability is the maximum, or the order taking duration is determined when the order taking probability is not less than 60%, and the like.

In some cases, similar to the contradiction between the change of the order taking probability and the change of the order taking duration provided by the logistics order taker, the contradiction between the change of the maximum waiting duration and the cancel probability of the current logistics order by the logistics order sender exists. It can be understood that the longer the maximum waiting time of the physical distribution order sender, the more the physical distribution order sender is willing to spend more time on the physical distribution order, so the probability of canceling the current physical distribution order is smaller.

In one embodiment of the present disclosure, the resource providing manner may include a time and a resource amount for providing the resource to the physical distribution order taker who takes the current physical distribution order for the current physical distribution order.

For example, an O2O merchant expects a rider (or distributor) to pick up after issuing a bill on the platform providing the logistics service in 5 minutes, i.e., the estimated maximum wait time is 5 minutes, but the platform providing the logistics service expects a 10 minute time for a rider with an estimated 80% probability of picking up a bill. At this point, the O2O merchant may cancel the logistics order because the rider order taking duration exceeds the maximum wait duration. In this case, the rider may be provided with resources (e.g., tip, point, goodness, etc.) by some resource providing means to encourage the rider to shorten the order taking time. For example, when the current logistics order has not been taken by the rider for 1 minute, the order-taking rider may be provided with a 2-dollar moneyball to incentivize the rider to take the current logistics order as soon as possible. As another example, when the current logistics order has not been taken by the rider for the past 2 minutes, the order-taking rider may be provided with a tip of 4 RMB and 10 points to encourage the rider to take the current logistics order as soon as possible. A plurality of riders (potential logistics order takers) in a business circle where the O2O merchant is located may be hesitant to take a 2-dollar tip notice when the current logistics order appears for 1 minute, and may be hesitant to take the order, but may not be hesitant to take the current logistics order immediately to take a 4-dollar tip and 10 points when the riders receive a 4-dollar tip notice and 10 points when the current logistics order appears for 2 minutes. In this example, the resource providing manner is to promote the resource provided to the physical distribution order taker at regular intervals after the current physical distribution order appears, so as to encourage the physical distribution order taker to take the current physical distribution order as soon as possible.

In the first embodiment of the present disclosure, it is necessary to maximize the incentive effect of as few resources as possible when determining the resource providing manner. Therefore, it is necessary to control the time for providing the resource and the upper limit of the provided resource. Moreover, different resource providing modes (resource providing strategies) can be configured according to the competitive product conditions of different areas (business circles) where the logistics order issuing party is located, so that the effect of applying the logistics service providing scheme according to the embodiment of the disclosure is ensured.

In one embodiment of the present disclosure, the resource providing manner may define a relationship between a point in time and the number of providing resources to the logistics order taker. In one embodiment, the resource providing means may define an optimal time point and an optimal amount of resources to be provided to the logistics order taker. Therefore, an appropriate resource providing mode for providing resources to the logistics order taker taking the current logistics order can be determined, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In one embodiment of the present disclosure, step S210 in the embodiment shown in fig. 2 includes: and at the calculated time, providing resources to a logistics order taker for taking the current logistics order according to the calculated quantity of the resources.

According to the technical scheme provided by the embodiment of the disclosure, the method for providing resources to a logistics order taker taking a current logistics order according to the determined resource providing mode comprises the following steps: and at the calculated time, providing resources to the logistics order taker for taking the current logistics order according to the calculated quantity of the resources, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

For example, in the scenario of local delivery of O2O, the optimal time point and the optimal amount of tip to be provided to the deliverer taking the current logistics order may be calculated according to the resource supply manner, so that at this optimal time point, the tip is provided to the deliverer according to the calculated optimal amount to encourage the deliverer to take the order as soon as possible.

In step S520, the potential physical distribution order taker of the current physical distribution order is notified of the time and the amount of resources to be provided to the physical distribution order taker that took the current physical distribution order.

According to the technical scheme provided by the embodiment of the disclosure, the time and the quantity of the resources to be provided for the logistics order taker who takes the current logistics order are notified to the potential logistics order taker who takes the current logistics order, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In step S530, the time and the amount of resources to be provided to the physical distribution order taker that takes the current physical distribution order are notified to the physical distribution order issuing side.

According to the technical scheme provided by the embodiment of the disclosure, the time and the quantity of resources to be provided for the logistics order taker who takes the current logistics order are notified to the logistics order sender, so that the logistics order sender is stimulated to keep or prolong the maximum waiting time, the order taking probability is improved to guarantee the logistics service, and the customer viscosity of the logistics order sender to the logistics service providing platform is improved.

It may be understood by those skilled in the art that, although both step S520 and step S530 are illustrated in fig. 5, the logistics service providing method according to an embodiment of the present disclosure may include only one of step S520 and step S530.

In one embodiment of the present disclosure, step S510 includes: and calculating the time and the quantity of resources provided by a logistics order taker for taking the current logistics order aiming at the current logistics order according to a preset resource management rule.

According to the technical scheme provided by the embodiment of the disclosure, the calculating the time and the resource quantity for providing resources for the logistics order taker who takes the current logistics order for the current logistics order comprises the following steps: according to a preset resource management rule, the time and the quantity of resources provided by a logistics order taker for taking the current logistics order for the current logistics order are calculated, so that a proper resource providing mode for providing the resources for the logistics order taker can be determined, the logistics order taker is stimulated to shorten the order taking time of the logistics order, and the order taking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In one embodiment of the present disclosure, since the resource to be provided may be assumed by the platform, the incentive effect of the resource needs to be maximized, the time for providing the resource and the amount of the resource need to be controlled, and different resource management rules (or resource providing policies) need to be configured according to different situations to guarantee the effect of providing the resource.

In one embodiment of the present disclosure, step S410 shown in fig. 4 includes: and calculating the order receiving duration and the order receiving probability of the logistics order receiving party for receiving the current logistics order based on the real-time transport capacity information of the area where the current logistics order is generated.

In embodiments according to the present disclosure, the embodiments described in fig. 1 to 5 may be combined to achieve corresponding technical effects.

Fig. 6 is a flowchart illustrating an application scenario of a logistics service providing method according to an embodiment of the present disclosure. Fig. 6 shows a scenario in which a merchant calls a logistics service on a platform providing the logistics service.

As shown in fig. 6, the merchant places a current logistics service order on the platform providing the logistics service and calls the logistics service. At this time, the merchant waits for the rider to take an order for the current logistics service order. In addition, the platform for providing the logistics service obtains the cancellation probability of the merchant to the current logistics order and the maximum waiting time for waiting for the rider to pick up the order according to the model of the merchant for canceling the order. And on the other hand, the platform providing the logistics service estimates the order taking probability and the order taking duration of the current logistics order by the transportation capacity according to the real-time transportation capacity information. Next, the cancellation probability of the current logistics order and the maximum waiting time of the merchant for waiting for the rider to pick up the order are matched with the order picking probability and the order picking time of the current logistics order by the capacity, so as to determine a resource providing mode for providing consumption for the capacity for picking up the current logistics order, namely, a time point and an amount for providing a tip fee. And informing the potential order taking rider of the determined time point and the determined amount of the tip fee, and stimulating the potential order taking rider to take the order. The delivery is started after the actual order taking by one of the potential order taking riders.

It should be noted that the associated description in this application scenario merely presents embodiments of the disclosure by way of example and does not necessarily encompass the full extent of the aspects of the disclosure that may be claimed.

Fig. 7 shows a block diagram of a structure of a logistics service providing apparatus according to an embodiment of the present disclosure.

As shown in fig. 7, the logistics service providing apparatus 700 includes an acquisition module 710 and a determination module 720.

The acquisition module 710 is configured to acquire characteristics related to the act of canceling the logistics order and real-time capacity information.

The determination module 720 is configured to determine resource offerings based on characteristics related to the act of canceling the logistics order and the real-time capacity information.

According to the technical scheme provided by the embodiment of the disclosure, the acquisition module is configured to acquire the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information; the determining module is configured to determine a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information, and can determine an appropriate resource providing mode for providing resources to the logistics order taker, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

A logistics service providing apparatus according to another embodiment of the present disclosure is described below with reference to fig. 8.

Fig. 8 is a block diagram illustrating a structure of a logistics service providing apparatus according to another embodiment of the present disclosure. The logistics service providing apparatus 800 in the embodiment shown in fig. 8 is different from the logistics service providing apparatus 700 in the embodiment shown in fig. 7 in that the following providing module 810 is further included.

The providing module 810 is configured to provide the resource to the logistics order taker taking the current logistics order according to the determined resource providing manner.

According to the technical scheme provided by the embodiment of the disclosure, the providing module is configured to provide resources to the logistics order taker taking the current logistics order according to the determined resource providing mode, so that the logistics order taker can be specifically stimulated to shorten the order taking time of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

One example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure is described below with reference to fig. 9.

Fig. 9 illustrates a block diagram of one example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure. As shown in fig. 9, the determination module 720 includes the following first estimation sub-module 910 and first determination sub-module 920.

The first estimation sub-module 910 is configured to estimate a maximum waiting time period for the physical distribution order issuer to wait for the current physical distribution order to be taken and a cancellation probability for the current physical distribution order to be cancelled by the physical distribution order issuer based on the information of the current physical distribution order, the characteristics related to the behavior of canceling the physical distribution order, and the real-time capacity information.

The first determining submodule 920 is configured to determine the resource providing manner according to the maximum waiting time for the physical distribution order issuer to wait for the current physical distribution order to be taken, the cancellation probability for the current physical distribution order to be cancelled by the physical distribution order issuer, and the real-time transportation capacity information.

According to the technical scheme provided by the embodiment of the disclosure, the determining module comprises: the first estimation submodule is configured to estimate the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed and the cancellation probability of the current logistics order to be cancelled by the logistics order issuing party based on the information of the current logistics order, the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information; the first determining submodule is configured to determine the resource providing mode according to the maximum waiting time for the logistics order issuing party to wait for the current logistics order to be accessed, the cancellation probability for the current logistics order to be cancelled by the logistics order issuing party and the real-time capacity information, and can help determine the appropriate resource providing mode for providing resources for the logistics order accessing party, so that the logistics order accessing party is encouraged to shorten the order receiving time of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

Another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure is described below with reference to fig. 10.

Fig. 10 is a block diagram illustrating another example of the determination module 720 in the logistics service providing apparatus according to an embodiment of the present disclosure. As shown in fig. 10, the determination module 720 includes the following second estimation sub-module 1010 and second determination sub-module 1020.

The second estimation sub-module 1010 is configured to estimate an order taking duration and an order taking probability for the logistics order taker to take the current logistics order based on the real-time transportation capacity information.

The second determining sub-module 1020 is configured to determine the resource provision manner according to the characteristics related to the behavior of canceling the logistics order, and the order taking duration and the order taking probability of the logistics order taker taking the current logistics order.

According to the technical scheme provided by the embodiment of the disclosure, the determining module comprises: the second estimation submodule is configured to estimate the order receiving duration and the order receiving probability of the logistics order receiver for receiving the current logistics order based on the real-time transport capacity information; the second determining submodule is configured to determine the resource providing mode according to the characteristics related to the behavior of canceling the logistics order, and the order taking duration and the order taking probability of the logistics order taker taking the current logistics order, and can be used for determining the appropriate resource providing mode for providing the resources to the logistics order taker, so that the logistics order taker is stimulated to shorten the order taking duration of the logistics order and improve the order taking probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In an embodiment of the present disclosure, the determining module 720 described according to the previous embodiment is further configured to: matching the maximum waiting time for the logistics order sending party to wait for the current logistics order to be taken and the cancellation probability for the current logistics order to be cancelled by the logistics order sending party with the order taking time and the order taking probability for the logistics order taking party to take the current logistics order so as to calculate the time and the quantity of resources provided by the logistics order taking party to take the current logistics order for the current logistics order.

According to the technical scheme provided by the embodiment of the disclosure, the determining module is further configured to: the maximum waiting time for the logistics order sending party to wait for the current logistics order to be taken and the cancellation probability for the current logistics order to be cancelled by the logistics order sending party are matched with the order taking time and the order taking probability for the logistics order receiving party to take the current logistics order, so that the time and the quantity of resources for providing the resources for the logistics order receiving party to take the current logistics order are calculated, a proper resource providing mode for providing the resources for the logistics order receiving party can be determined, the logistics order receiving party is stimulated to shorten the order taking time of the logistics order, and the order taking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In one embodiment of the present disclosure, the providing module 810 in the implementation shown in fig. 2 is further configured to: and at the calculated time, providing resources to a logistics order taker for taking the current logistics order according to the calculated quantity of the resources.

According to the technical scheme provided by the embodiment of the disclosure, the providing module is further configured to: and at the calculated time, providing resources to the logistics order taker for taking the current logistics order according to the calculated quantity of the resources, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

A block diagram of a logistics service providing apparatus according to yet another embodiment of the present disclosure is described below with reference to fig. 11.

Fig. 11 is a block diagram illustrating a structure of a logistics service providing apparatus according to still another embodiment of the present disclosure. The logistics service providing apparatus 1100 in the embodiment shown in fig. 11 is different from the logistics service providing apparatus 700 in the embodiment shown in fig. 7 in that a first notification module 1110 and a second notification module 1120 are further included.

The first notification module 1110 is configured to notify the potential logistics order taker of the current logistics order of the time and the amount of resources to be provided to the logistics order taker that took the current logistics order.

According to the technical scheme provided by the embodiment of the disclosure, the first notification module is configured to notify the potential logistics order taker of the current logistics order of the time and the quantity of resources to be provided for the logistics order taker who takes the current logistics order, so that the logistics order taker is stimulated to shorten the order taking time of the logistics order and improve the order taking probability to ensure the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

The second notification module 1120 is configured to notify the physical distribution order issuer of a time and an amount of resources to be provided to the physical distribution order taker who takes the current physical distribution order.

According to the technical scheme provided by the embodiment of the disclosure, the second notification module is configured to notify the logistics order issuing party of the time and the quantity of the resources to be provided for the logistics order receiving party receiving the current logistics order, so that the logistics order issuing party is stimulated to keep or prolong the maximum waiting time, the order receiving probability is improved to ensure the logistics service, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

It will be understood by those skilled in the art that although the first notification module 1110 and the second notification module 1120 are illustrated in fig. 11 at the same time, the logistics service providing apparatus according to an embodiment of the present disclosure may include only one of the first notification module and the second notification module.

In an embodiment of the present disclosure, the determining module 720 described according to the previous embodiment is further configured to: and calculating the time and the quantity of resources provided by a logistics order taker for taking the current logistics order aiming at the current logistics order according to a preset resource management rule.

According to the technical scheme provided by the embodiment of the disclosure, the determining module is further configured to: according to a preset resource management rule, the time and the quantity of resources provided by a logistics order taker for taking the current logistics order for the current logistics order are calculated, so that a proper resource providing mode for providing the resources for the logistics order taker can be determined, the logistics order taker is stimulated to shorten the order taking time of the logistics order, and the order taking probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In an embodiment of the present disclosure, the obtaining module 710 described according to the previous embodiment is further configured to: and obtaining a cancellation portrait of the logistics order cancellation of the logistics order issuing party according to the characteristics related to the behavior of the logistics order cancellation and the real-time transportation capacity information.

According to the technical scheme provided by the embodiment of the disclosure, the obtaining module is further configured to: the method has the advantages that the cancel portrait of the logistics order cancel of the logistics order issuing party is obtained according to the characteristics related to the behavior of the logistics order cancel and the real-time transportation capacity information, and the method is helpful for determining a proper resource providing mode for providing resources for the logistics order receiving party, so that the logistics order receiving party is encouraged to shorten the order receiving time of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In an implementation of the present disclosure, the second estimation module 1010 described according to the previous embodiment is further configured to: and calculating the order receiving duration and the order receiving probability of the receiving party of the logistics order for receiving the current logistics order based on the real-time transport capacity information of the area where the current logistics order is generated.

According to the technical scheme provided by the embodiment of the disclosure, the second estimation module is further configured to: the method and the device have the advantages that the order receiving duration and the order receiving probability of the logistics order taker for taking the current logistics order are calculated based on the real-time transport capacity information of the area where the current logistics order is generated, and the method and the device can be helpful for determining a proper resource providing mode for providing resources for the logistics order taker, so that the logistics order taker is encouraged to shorten the order receiving duration of the logistics order and improve the order receiving probability to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In one embodiment of the present disclosure, the characteristics related to the behavior of canceling the logistics order include data related to the behavior of canceling a historical logistics order of the logistics order issuing party and delivery difficulty data of the logistics order issued by the logistics order issuing party.

According to the technical scheme provided by the embodiment of the disclosure, the characteristics related to the behavior of canceling the logistics order comprise data related to the behavior of canceling the historical logistics order of the logistics order issuing party and distribution difficulty data of the logistics order issued by the logistics order issuing party, so that the maximum waiting time of the logistics order issuing party waiting for the current logistics order to be picked can be accurately estimated, and an appropriate resource providing mode for providing resources to the logistics order receiving party for receiving the current logistics order is determined, so that the logistics order receiving party is stimulated to shorten the order receiving time of the logistics order, and the order receiving probability is improved to guarantee the logistics service. The method has the advantages that the service efficiency of the order issuing party can be improved by shortening the order receiving time, the logistics service efficiency is improved, and the customer viscosity of the logistics order issuing party to the logistics service providing platform is improved.

In an embodiment according to the present disclosure, the embodiments shown in fig. 7 to 11 may be combined with the embodiments described in fig. 1 to 6 to achieve the corresponding technical effects achieved by the embodiments described with reference to fig. 1 to 6.

The internal functions and structures of the logistics service providing apparatus are described above, and in one possible design, the structure of the logistics service providing apparatus may be implemented as a logistics service providing device, as shown in fig. 12, and the electronic device 1200 may include a processor 1201 and a memory 1202.

The memory 1202 is used for storing a program for supporting a logistics service providing apparatus to execute the logistics service providing method in any of the above embodiments, and the processor 1201 is configured to execute the program stored in the memory 1202.

The memory 1202 is configured to store one or more computer instructions that are executed by the processor 1201 to perform the steps of:

In one embodiment of the present disclosure, the one or more computer instructions are further executable by the processor 1201 to perform the steps of:

In an embodiment of the present disclosure, the determining a resource providing manner according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information includes:

In an embodiment of the present disclosure, the providing resources to the logistics order taker that takes the current logistics order according to the determined resource providing manner includes:

In an embodiment of the present disclosure, the calculating time and the resource amount for providing resources for a physical distribution order taker that takes the current physical distribution order for the current physical distribution order includes:

In an embodiment of the present disclosure, the acquiring the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information includes:

In an embodiment of the present disclosure, the estimating, based on the real-time transportation capacity information, an order taking duration and an order taking probability for a logistics order taker to take a current logistics order includes:

The processor 1201 is configured to perform all or a portion of the method steps described above.

The structure of the logistics service providing equipment can further comprise a communication interface, and the communication interface is used for the logistics service providing equipment to communicate with other equipment or a communication network.

The exemplary embodiments of the present disclosure also provide a computer storage medium for storing computer software instructions for the logistics service providing apparatus, which includes a program for executing the logistics service providing method in any of the above embodiments, so as to achieve the technical effects of the method.

As shown in fig. 13, the computer system 1300 includes a Central Processing Unit (CPU)1301 that can execute various processes in the embodiment shown in fig. 1 described above according to a program stored in a Read Only Memory (ROM)1302 or a program loaded from a storage portion 1308 into a Random Access Memory (RAM) 1303. In the RAM1303, various programs and data necessary for the operation of the system 1300 are also stored. The CPU1301, the ROM1302, and the RAM1303 are connected to each other via a bus 1304. An input/output (I/O) interface 1305 is also connected to bus 1304.

The following components are connected to the I/O interface 1305: an input portion 1306 including a keyboard, a mouse, and the like; an output section 1307 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 1308 including a hard disk and the like; and a communication section 1309 including a network interface card such as a LAN card, a modem, or the like. The communication section 1309 performs communication processing via a network such as the internet. A drive 1310 is also connected to the I/O interface 1305 as needed. A removable medium 1311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1310 as necessary, so that a computer program read out therefrom is mounted into the storage portion 1308 as necessary.

In particular, according to embodiments of the present disclosure, the method described above with reference to fig. 1 may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing the data processing method of fig. 1. In such embodiments, the computer program may be downloaded and installed from a network via communications component 1309 and/or installed from removable media 1311.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules described in the embodiments of the present disclosure may be implemented by software or hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.

As another aspect, the present disclosure also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the above-described embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer-readable storage medium stores one or more programs which are used by one or more processors to perform the methods described in the present disclosure, thereby providing technical effects brought by the methods.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Claims

1. A logistics service providing method, comprising:

determining a resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information,

wherein the obtaining of the characteristics related to the behavior of canceling the logistics order and the real-time transportation capacity information comprises:

obtaining a cancellation drawing of the physical distribution order cancellation of the physical distribution order issuing party according to the characteristics related to the physical distribution order cancellation behavior and the real-time transport capacity information,

wherein, the determining the resource providing mode according to the characteristics related to the behavior of canceling the logistics order and the real-time transport capacity information comprises:

determining the maximum waiting time of the logistics order issuing party for the current logistics order and the cancellation probability of the current logistics order cancelled by the logistics order issuing party according to the predicted waiting time of the logistics order and the cancellation picture of the logistics order issuing party;

2. The method of claim 1, further comprising:

3. The method of claim 1, wherein determining resource provisioning based on the characteristics related to the act of canceling the logistics order and the real-time capacity information comprises:

4. The method of claim 1, wherein determining resource provisioning based on the characteristics related to the act of canceling the logistics order and the real-time capacity information comprises:

5. The method according to claim 2, wherein the providing the resources to the logistics order taker taking the current logistics order according to the determined resource providing manner comprises:

6. The method of claim 1, further comprising:

7. The method of claim 1, further comprising:

8. The method of claim 1, wherein calculating the time and the amount of resources provided to the physical distribution order taker who took the current physical distribution order for the current physical distribution order comprises:

9. The method of claim 4, wherein estimating the order taking duration and the order taking probability of the physical distribution order taker taking the current physical distribution order based on the real-time capacity information comprises:

10. The method according to any one of claims 1 to 4, wherein the characteristics related to the behavior of canceling the logistics order comprise data related to the behavior of canceling a historical logistics order of the logistics order issuer and delivery difficulty data of a logistics order issued by the logistics order issuer.

11. A logistics service providing apparatus, comprising:

a determination module configured to determine a resource provision manner according to the characteristics related to the behavior of canceling the logistics order and the real-time capacity information,

wherein the acquisition module is further configured to:

wherein the determination module is further configured to:

12. The apparatus of claim 11, further comprising:

13. The apparatus of claim 11, wherein the determining module comprises:

14. The apparatus of claim 11, wherein the determining module comprises:

15. The apparatus of claim 12, wherein the providing module is further configured to:

16. The apparatus of claim 11, further comprising:

17. The apparatus of claim 11, further comprising:

18. The apparatus of claim 11, wherein the determination module is further configured to:

19. The apparatus of claim 14, wherein the second estimation sub-module is further configured to:

20. The apparatus according to any one of claims 11 to 14, wherein the characteristics related to the behavior of canceling the logistics order comprise data related to the behavior of canceling a historical logistics order of the logistics order issuing party and delivery difficulty data of a logistics order issued by the logistics order issuing party.

21. An electronic device comprising a memory and a processor; wherein,

the memory is to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method of any of claims 1 to 10.

22. A readable storage medium having stored thereon computer instructions, characterized in that the computer instructions, when executed by a processor, implement the method according to any one of claims 1 to 10.