Demand Baseline Pre-processing
Synthetic sales data generation for stock-out and promotional periods, resulting in improved forecast accuracy.
Based on a combination of artificial intelligence models and statistical methods.
No disruption plugin into existing supply chain and forecasting systems (e.g. Oracle, SAP, Nav).
Demand baseline accuracy improvement
Artificial intelligence based solution. Predicting customer demand at SKU-store-day level from historical sales volume data.
Significant MAPE reduction compared to the traditional providers.
SKU changes and new SKU introduction
Automated identification of similar products, small changes in product weight or product ID, generating data ready to go into the existing forecast systems.
Assistance with newly introduced product sales forecast.
Safety stock reduction
Up to 10% safety stock reduction leading to working capital savings.
Product waste control
Improved forecast accuracy leading to shrinkage reduction.
Time saved to group SKUs
Automated matching of similar SKUs to reduce time spent doing manual mapping.