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Technical guide on applying AI to long-range category-level retail forecasting — from data requirements to model selection to deployment.
Long-range category forecasting has traditionally relied on trend extrapolation and planner intuition. AI changes the equation — but only if you understand what it can and can’t do at the category level.
This technical summary covers the data foundations required for AI-driven long-range forecasting, the model architectures that work best for retail category planning, and the practical deployment considerations that determine whether a forecasting model actually gets used by the planning team.
Written for planning leaders and technical stakeholders evaluating AI forecasting capabilities.
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