Crate & Barrel

Agentic Commerce: Hype, Standards and Platform Push

The article analyzes 'Agentic Commerce'—autonomous AI agents that search, compare and complete purchases for users—and assesses its commercial potential. It cites forecasts (McKinsey: up to $5 trillion B2C by 2030) and current commercial experiments from major tech and payments players. Google positions itself as a central platform with the open-source Universal Commerce Protocol (UCP) and a Universal Cart launched at I/O 2026; OpenAI previously introduced an Agentic Commerce Protocol (ACP) with Stripe but scaled back instant checkout. Retailers (Otto, Zalando) and adtech/payment firms (Criteo, PayPal, Mastercard, Visa) are testing integrations or tooling, while industry experts warn of complexity, merchant control loss, and limits in categories like fashion. The piece concludes agentic commerce is likely evolutionary—an additional channel—rather than a wholesale replacement of e-commerce.

Attentive Reveals Agentic AI Roadmap at Thread 2026

Attentive unveiled a next-generation set of agentic AI marketing capabilities at its Thread 2026 customer event, positioning the company to expand its omnichannel personalization ahead of Black Friday/Cyber Monday 2026. The announced roadmap includes Brand Voice 2.0, a conversational Reporting Agent, Predictive Analytics, and a new AI Campaigns product for end-to-end campaign orchestration. Attentive said brands drove more than $6 billion in revenue through its platform in Q1 2026, and named enterprise customers such as Lands’ End, Carter’s and Crate & Barrel as recent renewals or expansions. The company highlighted platform metrics — including 37% subscriber growth for omnichannel users and improved email deliverability for 92% of brands that migrated email to Attentive — and previewed additional channel features like Visibility AI for RCS and push messaging integrations.

Customer Experience Beats Brand in AI Shopping

A MarTech analysis by Shiv Gupta (Principal, Quantum Sight) published May 19, 2026 argues that AI-assisted recommendation engines prioritize consistent customer experience (CX) signals—such as reviews, comparisons, forums and editorial coverage—over marketing narratives when deciding which brands to recommend. While SEO and structured data remain useful, the article warns they are insufficient alone: AI assistants synthesize answers and compress brands into shorthand based on repeated external signals, so inconsistent CX can lead models to hedge or exclude a brand. The piece frames CX as a primary sales lever in AI-driven discovery and cautions that poor CX can accelerate brand erosion by reducing future recommendation-driven acquisition.