Question-led guides for commerce teams evaluating personalization. Each article gives the short answer first, then explains what to test and how to measure it.
Only if you tell it to. Inventory and sell through targets are inputs you control. You can boost clearance items to bargain oriented shoppers, demote low stock products so they stop selling out unpredictably, or pin end of season lines in visible positions. The engine respects these guardrails absolutely while still ranking for shopper fit within them.
Platform sorting offers fixed orders like newest, bestselling, or price, applied identically to every visitor. DeftMerch ranks collections per shopper in real time, blending individual fit with your business goals like margin and sell through. It also gives merchandisers pinning, boosting, and preview tools, so strategy stays human while the per shopper execution is automatic.
AI merchandising is software that decides which products appear where on a store's category and collection pages, using data instead of manual sorting. It weighs shopper behavior, product performance, inventory, and margin to rank products for each visitor. The goal is the outcome a great human merchandiser would produce for every shopper, applied continuously at a scale no team can match by hand.
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