DaVinci Commerce and Accenture Song Bring Prada’s Luxury Shopping Experience to ChatGPT

ChatGPT’s Business Hub and Business Agents signal a shift in how consumers discover products through AI. For brands and retailers, visibility increasingly depends on authentic business information, structured product data, and content enriched with the use cases, benefits, and occasions that match consumer needs.

According to BCG, 96% of AI shoppers use it to discover products, while only 4% of consumers are comfortable letting AI complete a purchase on its own. For CPG brands, the immediate opportunity comes before checkout, when a shopping agent decides which products to recommend.

AI shopping agents need product details and evidence from real shoppers. As highlighted in Forbes, DaVinci Commerce and Bazaarvoice pair verified reviews with product knowledge to help AI agents recommend products that fit what shoppers are looking for.

AI shopping conversions are rising, but not every brand will benefit. Discover why enriched product data, authoritative sources, and machine-readable catalogs are essential to earning a place in AI recommendations.

Walmart’s Agent Profiles could address a major hurdle in agentic commerce: checkout. As personal AI agents gain adoption, shared standards and richer product context will help them discover, recommend, and purchase the right products.

How well do personal AI shopping agents actually work? A hands-on comparison of Meta Muse and Instinct reveals gaps in product knowledge, checkout functionality and the shopping experience, highlighting key challenges brands and retailers must address as agentic commerce evolves.

As personal AI agents transform how consumers discover and buy products, brands need a new way to participate in the shopping journey. Explore how DaVinci Commerce Brand Agent and Product Context Memory help AI agents understand, recommend and connect shoppers with the right products.

DaVinci Commerce introduces Brand Agent, powered by patent-pending Product Context Memory. As shopping shifts toward AI agents, brands need richer product knowledge that connects features, benefits and consumer needs to help AI agents make better recommendations.

Meta Muse is quickly emerging as a major consumer AI agent, signaling a broader shift in how people discover, evaluate, and buy products. As agentic commerce evolves, brands and retailers need to prepare for a world where consumer agents and brand agents increasingly interact on shoppers’ behalf.

AI-driven shopping is gaining momentum, but brands and retailers are still struggling to measure its true impact and make products discoverable to LLMs. Key takeaways from Groceryshop and Retail Club reveal why agentic commerce may already be much bigger than current traffic data suggests.

Agentic commerce is quickly becoming a real priority for brands and retailers. From AI discoverability and richer product context to vertical agents and connected shopping experiences, the race for the new agentic shelf has already begun.

AI visibility alone isn’t enough to drive sales. Agentic Commerce Optimization (ACO) shifts the focus to authoritative, enriched, and up-to-date product data that helps shopping agents recommend your products and connect consumers to purchase.