This project is about demand forecasting of retail (medical products) by using machine learning, it will predict about the availability and need of medical products. It is a web application to predict the demand as well as price of medical products it will be beneficial for the patients and the regu
Demand forecasting for Retail Stock Using Machine Learning
This project is about demand forecasting of retail (medical products) by using machine learning, it will predict about the availability and need of medical products. It is a web application to predict the demand as well as price of medical products it will be beneficial for the patients and the regular users as well as companies can analyze and be aware about the shortage of medical products. Supply always comes on the heels of demand and this application will fulfill all the requirements from market to individuals.
Point of sale data is collected and it starts data preprocessing, and a data set for prediction is developed on which Machine Learning Algorithm is applied for further development of Forecasting Model. It will build a API (Web Service) after that Web app UI and in the end it will display forecasting result and Visuals.
It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty.
The aim of this project is to build web application that forecast/predict reatail stock and price weekly.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Barcode Reader | Equipment | 1 | 15000 | 15000 |
| Website Domain | Miscellaneous | 1 | 1500 | 1500 |
| Total in (Rs) | 16500 |
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