Why AI-driven purchase intent so rarely becomes a completed sale
Presented by Rezolve Ai
When an AI assistant recommends a product or brand, it generates something valuable: a purchase-ready consumer with high intent and low friction in their decision. That consumer has already compared options, asked follow-up questions, and arrived at a conclusion. They want to buy.
What they encounter next is a commerce infrastructure that was not designed for them.
The gap between recommendation and purchase
The typical enterprise commerce stack was built for a specific model: a consumer who arrives at a brand's website through search or a direct link, navigates product pages, adds to cart, and completes checkout through a multi-step form flow. That model assumed the consumer would do the work of bridging their intent to the transaction. Most commerce systems still assume exactly that.
Agentic commerce breaks that assumption. When intent is generated outside the brand's owned environment, the handoff to transaction becomes a structural...
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