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
● Problems Identified at Naheed Store
● Solutions Provided
● Algorithms Used
● Ending and Conclusion

3. Problems Identified At Naheed :

4. 1) Do you have to travel a long
distance in a super store to find
your desired item?

5. 2) Do you ever arrive home
realizing you forgot to purchase
few very important items ?

6. 3) Do you want to receive
recommendations based on your
previous purchase ?

7. 4) Is it a seasonal month and your
favourite Sheer-Khurma is out of
stock ?

8. 5) Do you encounter expired
items in super market ?

9. Are you frustrated ?

10. We have a solution :
Demand Forecasting !

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

12. Algorithms used :
1) Auto Regression in Arima
2) Moving Average in Arima
3) Apriori Algorithm

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 Naheed’s supply chain management
4)Identifies loop holes
5)Helps increasing profits by implementing right Business Strategies

17. DEMO