Efficient Inventory Stock Management and Deployment Planning For a Prominent Global Tyre Manufacturer

Solution

The logic of distributing inventory to distribution centers will depend upon analyzing multiple datasets and to find a correlation of data using machine learning models to predict the outcome.

• Data ingestion, cleaning, and transformation to be done through ETL scripts ( SSIS packages)
• Cleaned data uploaded in SQL Server Data warehouse
• Machine learning models to run on cleaned and stitched data. Various machine learning forecasting/regression models implemented on data and results accuracy and validations checked to arrive at an optimized model

Outcome