Every story tagged AI Commerce, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.
1 story · open in the command center
AI-driven product recommendations are generating high-intent consumers, but legacy commerce infrastructure cannot effectively convert them due to disconnected backend systems that lack real-time inventory, pricing, and fulfillment visibility—resulting in conversion penalties as high as 70% cart abandonment rates. This represents a fundamental architecture problem, not a UX problem, requiring IT organizations to shift investment from front-end discovery optimization to back-end execution infrastructure that can safely expose data systems to AI agents while maintaining brand governance. Organizations investing in AI-powered discovery without simultaneously modernizing their transaction and fulfillment layers are creating a dangerous promise-reality gap that erodes consumer trust and revenue.