Demand Forecast is about to study the analysis of Supermarket, customer, product, sales. This project is in collaboration with Naheed Supermarket for providing the masked dataset.

2. Table of Content
● Introduction
● Promotional Deals and Marketing
● Inventory Management
● Staff Management
● Ending and Conclusion

3. Demand Forecasting is not just a software , it is
1) Inventory Manager
2) Sales Forecaster
3)Marketer Analysis
4) Customer Behavior Analysis
5)Profit enhancer

4. Algorithms used :
1) Support Vector Machine
2) Apriori Algorithm

5. Insights Extracted From Data :

6. 1) Running Marketing Campaigns and Sales
Promoting Deals

8. 2) Inventory Management and Ensuring that
your products are on point

9. • Keep a close eye on your inventory
• Avoid Stock outs
• It keeps track of your working capital
• Set Targets for Sales Team

10. 3)Staff Management

11. 5) Expired Shrink Prevention
Strategies

12. 4) Customer Relation Managment
• Right Check on inventory
• Not Allowing stock outs
• Setting Promotional deals wisely
• Managing and Maintaining staff effectively
to enhance customer satisfaction
• Food donation and associated tax
deductions

13. Final Results :
1) Data Speaks to propose the solutions of problems identified
2) Clear Visualization of the problem statement
3) Sets benchmarks and goals for retail management and supply chain
management
4)Identifies loop holes
5)Helps increasing profits by implementing right Business Strategies