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National FMCG Distributor uses EvoChain to Align ML Forecasts with Customer EDI Data

The Implementation

A high-volume national FMCG distributor was struggling with significant forecast bias, driven by a lack of alignment between their internal planning teams and the purchasing behavior of their massive retail clients. The resulting bullwhip effect caused friction across their entire logistics provisioning network.

The client engaged EvoChain to implement a unified Collaborative Planning, Forecasting, and Replenishment (CPFR) ecosystem designed to bridge internal and external data:

  • Collaborative Alignment: Utilizing EvoChain’s CPFR module, the client mathematically compared their internal time-series ML baselines against consensus forecasts generated by Key Accounts.
  • EDI Integration: The system ingested time-phased replenishment requirements and committed delivery quantities directly via customer EDI streams, eliminating manual data entry delays.
  • Forecast Value Added (FVA) Tracking: Deployed stratified backtesting protocols to measure where human overrides added value and where they introduced bias, utilizing Opportunity Delta Reversals to dynamically adjust prorated volumes based on won/lost deals.

By harmonizing these data streams, the distributor gained highly accurate, constraint-aware visibility. This allowed them to proactively align logistics and transportation providers, completely eliminating reactive freight expediting costs.

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"EvoChain didn’t just fix our algorithms; it fixed our relationships. By directly integrating customer EDI data with our ML baselines, we stripped the bias out of our numbers. We are finally aligned with our logistics partners and trusted entirely by our retail clients."