// agentic commerce

All signals tagged with this topic

Why AI Agents Need Behavioral Product Data, Not Just Specs

As AI agents autonomously shop on behalf of customers, they expose a gap: traditional product databases (SKU, specs, dimensions) can't answer the contextual questions agents need to make good recommendations—why someone buys, when they use it, what problems it solves. Merchants who retrofit their data systems to include behavioral and situational attributes will capture agent-driven commerce. Those clinging to legacy catalogs risk invisibility in automated purchasing flows that increasingly mediate consumer choice.

Retail Websites Lag as Agentic Commerce Reshapes Shopping

Forrester's report signals that traditional e-commerce sites are becoming obsolete not because of technical debt, but because AI agents and conversational commerce are rewiring how consumers discover and purchase goods—shifting control from branded destination sites to platforms where agents actively recommend and transact on behalf of users. Retailers that haven't migrated to agent-native architectures risk losing direct customer relationships entirely, as shopping migrates from "visit website, search, buy" to "tell agent what you want, agent handles discovery and checkout across multiple retailers." The shift redistributes retail margin and customer data to whoever controls the agent layer.