Custom Demand Planning for Retailers and Manufacturers
AI-powered demand planning is one of the fastest ways to cut stockouts, reduce overbuy, and improve inventory turns. In this webinar, Concurrency’s Head of Engineering, Brandon Dey, breaks down how to structure forecasting systems, choose the right data inputs, and handle intermittent and lumpy demand—while deciding what to build versus buy.
With Microsoft + ServiceNow expertise and teams across Chicago, Milwaukee, and Minneapolis, this session walks through real-world retail and manufacturing examples, plus a practical build-vs-buy decision tree you can start using immediately.
WHAT YOU’LL LEARN:
• The difference between execution vs operational forecasting—and when each applies
• How to combine point & probabilistic forecasts with scenario evaluations
• Which inputs matter most (price, history, taxonomy, calendar)
• How to classify and forecast intermittent, erratic, and lumpy demand
• A practical build-vs-buy decision tree for forecasting components
• How weather & local events improve accuracy in retail & grocery
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