Machine Learning algorithms $($any $3$ algorithms$)$ that can be applied for each case and also convey the reason for applying these algorithms.

With producers and outlets located at different geographical locations, it often becomes necessary to forecast demands in order to ensure that sufficient stock is available to meet sales. Accurate demand forecasting can ensure minimal losses, either due to wastage, especially in the case of perishable products, or due to the inability of supply to meet demand. Machine learningbased demand forecasting models have proved to be especially useful to tackle this use case.

Customers can be categorized into different categories based on their buying patterns, web store browsing patterns, etc. For example, machine learning models can be used to determine whether a customer is likely to purchase more items or not. If the ML model predicts a greater likelihood that they are about to make more purchases, then you might want to send them promotional offe Time remaining: $00$:$46$ lingly. Or if it has been