Analytics & AI
The statistics, optimization and AI behind every decision on the map.
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Stop 1
Statistics you will actually use
Averages, spread, box plots, outliers and stationarity, the handful of statistics behind most supply chain analysis.
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Stop 2
Optimization basics: LP and MILP
Objective, decision variables and constraints in plain words, with a worked linear program and when you need integers.
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Stop 3
Simulation & Monte Carlo
Testing a decision against thousands of possible futures, and how simulation complements optimization.
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Stop 4
Machine learning in supply chain
Where ML genuinely helps, from forecasting and ETAs to anomaly detection and documents, and the traps that make projects fail.
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Stop 5
AI agents, RAG & copilots
What an AI agent is: a language model with tools, memory and a goal, and how chatbots, copilots and agents differ in supply chains.
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Stop 6
AI + optimization
Why prediction and optimization are stronger together, and how agents connect them into a decision process.