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§ 01 — LOGISTICS · DEMAND FORECASTING · 2024
−34%forecast error
European logistics operator
All case studies are anonymized. Industry, project type, and outcomes are accurate.
PROBLEM
Monthly spreadsheet forecasting cycles caused repeated stockouts and overstock across three distribution centers. Demand spikes were invisible until they hit.
SOLUTION
A multi-horizon forecasting system ingesting live order data, seasonal signals, and external indicators — integrated into the client's ERP with no interface change for the operations team.
FULL CASE STUDY
The detailed case study — including methodology, architecture decisions, and measured outcomes — is currently in preparation. Contact us if you would like to discuss this project in more detail.
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