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Order & return quantities forecast for a fashion retailer
The rapidly increasing importance of online trade presents logistics service providers with increasing challenges in terms of warehouse and delivery planning.

Almost every planning decision in a supply chain starts with an assumption about future demand. Purchasing volumes, production schedules, and safety stock all build directly on it. Demand forecasting is the discipline that puts this assumption on a data foundation. This article covers how it works, which methods have proven themselves, and where things get difficult in practice.
These posts from recent years have been exceptional: they have sparked discussions, encouraged reflection, and helped readers. Here is a hand-picked selection of the best of the pacemaker.ai blog for you:
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