gPE is a best of breed supply chain planning and replenishment engine based on a fulfilment driven planning approach. gPE is a supply chain planning engine that consists of three major functional areas demand planning, fulfilment planning and replenishment planning. The highly sophisticated analytics engine optimizes inventory mix and allocation. gPE identifies optimal safety stock and inventory targets for each SKU in a multi-echelon distribution network. gPE improves customer experience and maintains service levels without skyrocketing inventories.
Demand Planning and Supply Network Planning are key aspects for enabling successful collaboration across the supply chain. gPE is able to model demand and supply variability and automatically generate a globally optimal inventory mix across many thousands of SKU-locations.
Many distribution-intensive companies are still not achieving the customer service levels they would like, despite investing in other technology. Forecasts are still not accurate enough and too many supply chain “exceptions” are taking place, causing costly expedition or manual intervention. Applying powerful analytics and stochastic optimization through the use of gPE can solve these common problems.
Volatility through the demand and supply chain causes an imbalance within the inventory mix. Manual intervention is used to compensate when exceptions occur. This intervention is not scientific and is handled on an ad hoc basis, without a full understanding of the longer term consequences. This expedited and forward deployed stock drives up inventories and working capital.
gPE dynamically generates optimal inventory targets and provides a collaborative management process for setting global service levels and delivering organizational goals. gPE provide the near real-time view of the actual against the plan and can provide adjusted demand plans to the gTE for transmission to the suppliers and logistics providers.