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How AI is moving from hype to practical strategic advantage in retail — a clear-eyed look at what's working, what's not, and what's next.
Three years ago, most retail executives treated AI as a buzzword. Today, the early adopters are seeing measurable margin improvement — and the gap between them and everyone else is widening.
This paper traces the adoption curve of AI in retail planning, from the initial skepticism through the pilot phase to scaled deployment. It identifies the specific use cases that have proven ROI (demand forecasting, exception detection, automated reforecasting) and the ones that remain more promise than practice.
For leaders building an AI strategy, this paper provides a framework for sequencing investments based on data readiness and team maturity.
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