Multi-signal inventory forecast
Build an AI forecast combining history, seasonality, and live market signals into a reviewable view.
E-commerce · AI inventory forecasting
Built AI inventory forecasting and dynamic replenishment advice for an e-commerce company, integrated with supply-chain systems — improving sell-through and stockouts with more agile response.
Challenge
Multi-SKU, multi-channel forecast error
Multi-category, multi-channel inventory pressure was high; manual forecasts erred toward overstock or stockouts. Operators needed explainable replenishment advice wired into execution — not a one-off report.
Approach
Signal fusion → dynamic advice → supply-chain connect
Dynamic replenishment advice
Turn forecasts into dynamic replenishment advice with owners and exception paths — no black-box auto-ordering.
Supply-chain system connect
Connect to supply-chain systems so advice enters existing replenishment / transfer cadence with human confirmation.
Outcome
More agile inventory and supply response
- Inventory turns and forecast accuracy improved materially (qualitative; client metrics confidential).
- Overstock and stockout situations improved together; supply response became more agile.
- Presented with client authorization and anonymization — no public client name or unauthorized ROI figures.
Capabilities
Data scienceOps AIAI consulting
Book Discovery
Share industry and goals — we arrange a reference conversation against similar cases.
Client names are anonymized (e.g. “a national retail group”). Representative cases from company materials are client-authorized and desensitized. We do not invent Fortune 500 logos or unauthorized ROI percentages; outcomes are qualitative results and deliverable forms you can discuss in Discovery.