Predictive Analytics Model Training - Supply Chain
With this scope item, the customers can utilize the embedded predictive analytics functionality in the supply chain scenarios - produce, manufacturing, inventory management, logistics execution etc. It includes parameter selection in predictive model training and activation. Currently the following use case leverage the embedded predictive modeling.
Track materials in transit/open stock transport orders for which no goods receipt has been posted by the receiving plant yet which have already exceeded the estimated time in transit.
Key Process Steps Covered
- Train a predictive model for stock in transit with available data
- Update the forecasted date column which shows the predicted delivery date by leveraging the embedded predictive model
- Update to the Stock in transit process, stock transport order process with predictions
Benefits
- Out of the box predictive model that can be leveraged in the stock in transit app
- Get a predicted date for the stock in transit based on the delivery data for the customer
- Adjust time schedule based on empirical data
- Overall more reliable planning / scheduling of goods in transit process