AI in Commerce News

Retailgentic outlines product-level context capture for agentic commerce optimization

Retailgentic's Part II analysis identifies six major sources—answer engines, retail agents, physical stores, brands, social media, and websites—where retailers can capture product-level context to feed AI-driven commerce systems. The framework emphasizes recursive, AI-feedback loops that continuously improve product catalogs and conversion rates without human intervention, a capability Retailgentic argues will drive significant digital retail disruption within 18 months.