____________________________________________________________________________________ Inventory Management
could respond more precisely to changing customer behavior. After a few months, they saw stronger revenue performance from better in-stock rates, all without needing to increase inventory levels. Store teams spent less time juggling overstocked backrooms and customers had an easier time finding what they wanted.
Planning with precision, acting with confidence
There’ s often a fear that AI will replace human planners, but in most retail environments, it’ s the opposite. AI helps take the guesswork and repetition out of planning, freeing teams up to focus on strategy. It acts more like a copilot than a replacement- surfacing insights, flagging outliers and recommending actions that still leave room for human judgment.
The best implementations don’ t just drop a new system into place and call it done. They involve cross-functional collaboration between planning, merchandising and store operations. When those teams are aligned and working with the same data-driven insights, it becomes easier to move quickly and stay coordinated.
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