Intelligent IBP Simulator

A highly complex IBP/S&OP process supported by SAP, Blue Yonder, and decentralized spreadsheets: information silos, manual reconciliation, and limited end-to-end visibility. The S&OP cycle exceeded 15 days, with no real-time scenario simulation, conflicting KPIs across functions, limited integration between sell-in and sell-out, biased forecasts, and inventory inflated by a lack of confidence in planning.

We developed and deployed an intelligent IBP simulator, integrating data from SAP, Blue Yonder, and additional sources into a unified decision layer that consolidates demand, supply, finance, sell-in, and sell-out. PepsiCo can now simulate planning scenarios in minutes, assessing the combined impact of each decision on volume, margin, inventory, stockouts, and operational capacity, with a prescriptive layer that enables comparisons between alternatives and makes cross-functional trade-offs explicit.