Ede Pranesh
Ede Pranesh
Ede Pranesh
By
SUBJECT INCHARGE
Ms. Vedantika Patil
is done by
Pranesh Mendadkar
is submitted for
Vision:
• To Visualize the creation of skilled, proficient IT Professionals to meet current challenges.
Mission:
• To encourage young minds for training & entrepreneurship.
• To convey standard education with rapidly changing environment with ethical values. • To
provide an environment where students can continuously learn, apply & communicate knowledge.
Aim
The aim of this microproject is to conduct a comprehensive study on the feasibility planning of
ventures, focusing on various aspects such as market analysis, financial planning, and risk
assessment. The objective is to understand how effective feasibility planning helps in determining
the success or failure of new business ventures and how entrepreneurs can mitigate risks through
informed decision-making.
The theoretical aim of a business plan for a small food processing industry is to provide a
comprehensive framework that integrates strategic vision, market insight, operational efficiency,
financial health, and compliance. This holistic approach not only prepares the business for launch
but also sets the foundation for sustainable growth and success in a dynamic industry.
Course Outcomes
• Research Phase
Literature Review: Conduct a review of existing literature on food processing industry trends,
market dynamics, and best practices.
• Target Market Identification:
Use surveys or questionnaires to collect data on consumer preferences and behaviors.
Analyze demographic and psychographic data to identify target segments.
• Financial Planning
Cost Analysis: Calculate startup costs, including equipment, materials, labor, and overhead.
Revenue Projections: Develop sales forecasts based on market research and pricing strategies.
• Marketing Strategy Development
Branding Strategy: Define the brand identity and messaging.
• Presentation of Findings
Visual Aids: Prepare charts, graphs, and tables to support data presentation.
Action Plan
Rational
A well-structured feasibility study is critical for the success of any business venture. It allows
entrepreneurs to make informed decisions by assessing whether an idea is viable in the current market
scenario. Through this project, students will learn to evaluate real-world business ventures, helping
them understand the importance of planning and risk management before launching a new business.
The rationale behind this study is to enable students to bridge theoretical knowledge with practical
applications in entrepreneurship
1. Presentation to Stakeholders: Prepare a formal presentation of the findings for potential investors,
stakeholders, or peers, emphasizing key insights and recommendations.
2. Interactive Sessions: Conduct interactive sessions or workshops where students can discuss their
findings and receive feedback from experienced entrepreneurs or industry experts.
Literature
1. Industry Reports and Market Analysis
IBISWorld Reports: Detailed industry reports on food processing trends, growth forecasts, and market
analysis.
Statista: Statistical data on food processing market size, consumer preferences, and industry trends.
2. Books
"Food Processing Technology: Principles and Practice" by P.J. Fellows: A comprehensive guide on food
processing methods, technology, and quality control.
"Starting a Food Business: A Step-by-Step Guide" by Jeff Haden: Offers practical advice on launching a
food-related business, including planning and marketing.
3. Academic Journals
Journal of Food Science: Research articles on new processing technologies, food safety, and consumer
trends.
Food Control: Studies on food safety regulations and quality assurance practices in food processing.
4. Government Publications
USDA (United States Department of Agriculture): Resources on food safety regulations, labeling
requirements, and best practices for food processors.
FDA (Food and Drug Administration): Guidelines on food safety standards and regulations for food
manufacturing.
5. Case Studies
Explore case studies of successful small food processing businesses, focusing on their business models,
challenges faced, and strategies employed.
6. Market Research Reports
Nielsen Reports: Insights on consumer trends, preferences, and purchasing behaviors in the food sector.
Mintel Reports: Market research reports on specific food categories, including processed foods and
consumer insights.
7. Business Planning Resources
SCORE (Service Corps of Retired Executives): Resources and templates for writing business plans,
especially for food businesses.
"Business Model Generation" by Alexander Osterwalder and Yves Pigneur: A practical guide to
developing business models applicable to food processing.
8. Sustainability and Ethics
"Sustainable Food Processing" by M. P. V. Prasad: Discusses sustainable practices in food processing
and their impact on business operations
Actual Methodology Followed
Topic Work Done Data Work Done By
Resources Required
Theory ->
While this project primarily focuses on business planning, any necessary computational analysis or
market forecasting models will be coded using tools like Excel or Python. These will be used for
financial forecasting, data visualization, and risk assessment calculations. The algorithms developed
will allow for accurate analysis of business viability based on market trends and financial data.
The use of Excel and Python in this project will enable advanced computational capabilities, such as
the creation of dynamic financial models, sensitivity analyses, and market simulations. Excel’s
powerful formulas and data visualization tools, like charts and pivot tables, will help in tracking
financial performance and making projections. Python, on the other hand, will offer flexibility with
libraries such as Pandas for data manipulation, Matplotlib and Seaborn for data visualization, and
Scikit-learn for predictive modeling and risk analysis. These tools combined will allow for a more
detailed and accurate evaluation of business viability, ensuring that both short-term and long-term
forecasts are grounded in reliable data.
Subject In-charge
Ms. Vedantika Patil