Practical, research-backed thinking on demand forecasting, supply chain AI, and getting models into production.
McKinsey finds AI cuts forecast error 20–50%. Here's why spreadsheets fail and what to build instead.
Most control towers become dashboards nobody acts on. The blueprint for one that drives decisions.
Unplanned downtime costs industry ~$50B a year. Where to begin for 10:1+ ROI in 12–18 months.
Gartner: 85% of AI projects fail on poor data. The foundation to lay before any model.
A Stanford/NBER study found AI lifted support productivity 14%—34% for novices. How to ship one.
Most models never leave the lab. The MLOps checklist that gets them to production—and keeps them there.
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