Macy's Rebuilt Its Decisions Around AI And Conversions Followed
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Key Takeaway
Macy's cut the distance between customer signal and business response by rebuilding its decision-making infrastructure around AI rather than bolting AI onto existing processes. Early wins in search and personalization generated measurable conversion gains quickly enough to shift internal debates from "should we scale this?" to "how fast can we scale this?" The lesson for senior leaders: AI ROI compounds when you treat it as an operating model change, not a feature rollout – and the proof of concept phase only earns budget if it's designed from the start to answer a specific business question with a measurable outcome.
Macy's cut the distance between customer signal and business response by rebuilding its decision-making infrastructure around AI rather than bolting AI onto existing processes. Early wins in search and personalization generated measurable conversion gains quickly enough to shift internal debates from "should we scale this?" to "how fast can we scale this?" The lesson for senior leaders: AI ROI compounds when you treat it as an operating model change, not a feature rollout – and the proof of concept phase only earns budget if it's designed from the start to answer a specific business question with a measurable outcome.
Originally reported by MIT Technology Review. Read the full story here.
