NLNorman Li
Supply chain · analytics · applied AI

Complex operations.
Clear decisions.

I’m Norman Li. I turn messy business problems into practical systems—combining supply chain experience, analytical thinking, and technology.

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Demand planningInventory optimisationBusiness intelligenceAI automation
Selected work

Problems, worked through.

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InventoryCase study · 8 min

Finding the inventory hiding in plain sight

A practical segmentation model that surfaces excess, protects service levels, and gives planners a credible action queue.

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ForecastingAnalysis

Forecast accuracy is not enough

Why bias tells a more useful operational story—and how to act on it.

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Applied AIPrototype

An analytics copilot that cites its work

Designing a safer path from natural-language questions to trusted answers.

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Knowledge library

Ideas connected,
not just collected.

A growing reference for the models, methods, and tools I use. Short definitions connect to deeper analysis and real projects.

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Safety stockInventory · Planning01Forecast biasForecasting · Metrics02ABC–XYZ analysisSegmentation · Portfolio03Semantic layersData · Analytics engineering04
Latest thinking

Notes from the work.

Forecast accuracy is not enough

Why bias tells a more useful operational story—and how to act on it.

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Three inventory signals I check first

A compact diagnostic sequence for finding the real source of inventory imbalance.

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AI answers need an evidence trail

Designing AI systems that people can verify before they act.

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Start a conversation

Have a difficult operational
problem worth unpacking?

I’m always interested in thoughtful work across supply chain, analytics, and practical AI.

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