Start with the retail decision, not the model
Frame a retail AI use case as a business decision before selecting a model or tool.
The move: make the model serve a named retail decision. CRISP-DM starts with business understanding because analytics work is only valuable when it changes an action. In retail, the action might be a replenishment order, a markdown, a product ranking, a labor recommendation, or a customer offer. Each one has a different window for action and a different cost of being wrong. Business understanding Name the operational decision before you name the AI technique. Ask who owns the decision, what action could change, what timing matters, and what business metric will be used to judge the result. This keeps the…
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