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AI Use Case

Deliver anticipatory logistics through demand forecast

Anticipatory logistics are based on predictive algorithms running on big data. The practice allows logistics professionals to improve efficiency and quality by predicting demand before a consumer places an order. A cost-efficient and effective returns system is a key element in the value chain. Returns to scale are usually key to making this work economically.


Supply Chain



Revenue - Customer experience,Operational Support - Demand forecasting,Operational - Customer wait times,Cost - Reduced inventory costs

Case Studies

Portcast~Portcast is a data analytics vendor promising to optimise logistics for the maritime industry using machine learning,Kiabi~Kiabi increases in-store product availability by 7% by optimising supply chain management with machine learning

Potential Vendors



Data Sets

Structured / Semi-structured

AI Technologies

Traditional AI,Machine Learning (ML),ML Task - Action Selection - Reinforcement Learning

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