Inventory Prediction: – Using advanced Machine Learning models that predict Inventory Level based upon climate data, Freight data, Supplier data, and demand data

Backorder Prediction: –

Problem

Unusual Backorder – Especially when there is no visible pattern or seasonality when that backorder can happen. This can lead to unsatisfied customers and loss of sales.

Solution: – Using Machine Learning we can identify the hidden pattern and predict Inventory Backorder in future

Process:-

• Input Data includes Supplier data, Current Inventory, Lead-time, Previous Sales Data and Forecast Data
• Majority of the cases Backorder Prediction will run for imbalance classification problem
• It is important to create a balance between precision and recall as bad recall can lead to high Inventory holding cost.