The Next Best Decision: How Agentic AI Is Changing Retail - Digital Transformation Blogs - Bigdata, IoT, M2M, Mobility, Cloud
For the better part of a decade, retail’s favorite piece of AI jargon was “next best offer.” A model would look at what you’d bought, what you’d browsed, and what people like you tended to buy next, and it would surface a recommendation. Someone still had to act on it: a merchandiser adjusted an allocation, a marketer approved a campaign, a store associate decided whether to honor a price match. Intelligence lived in the suggestion. The decision, and the accountability that came with it, stayed human.
That boundary is the thing moving in 2026. Agentic AI in retail doesn’t stop at “here’s what you should probably do.” It monitors a signal, weighs the options, and acts, reserving inventory, re-routing a shipment, adjusting a price, or resolving a return, inside boundaries a person has defined in advance. This shift from recommendation-driven retail AI to AI-powered decision-making is a fair summary of...
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