Gap Launches AI Checkout on Google Gemini — First Major Fashion Company to Embrace Agentic Commerce

Gap Becomes First Major Fashion Company to Enable AI Direct Purchases

Gap says it will launch checkout within Google's Gemini, in an AI first from a major fashion company

Gap's partnership with Gemini and its customer-facing AI tools give it a competitive edge at a time when winning in specialty retail is harder than ever.

On March 24, 2026, Gap Inc. announced it will launch AI checkout functionality on Google Gemini. This marks the first time a major fashion company has enabled direct purchases on an AI platform.

The rollout covers all four brands: Old Navy, Gap, Banana Republic, and Athleta. According to Gap Inc.'s official announcement, the initiative was unveiled at the Shoptalk Spring conference. Additionally, the company simultaneously introduced Bold Metrics' AI sizing technology, the "Agentic Sizing Protocol (ASP)," tackling two major barriers at once: size uncertainty and purchase friction.

We're not pursuing AI for the sake of novelty. This is a partnership to solve real customer problems — confidence in sizing and ease of purchase

Source: Sven Gerjets (Gap CTO, Retail TouchPoints)

Industry Trends and OpenAI's Retreat

Behind this announcement lies the rapid expansion of product search through AI platforms. Consumer behavior is shifting from traditional keyword searches to conversational product discovery.

Gerjets noted, "It's not just keyword searches anymore. You need to have a presence within conversations." From wedding attire to job interview outfits, consumers are increasingly consulting AI in natural language while shopping.

Meanwhile, competitor OpenAI has been forced to retreat from agentic commerce. According to CNBC, OpenAI shut down its "Instant Checkout" feature introduced in fall 2025, withdrawing from direct purchases on ChatGPT. The platform couldn't overcome challenges including limited product assortment and inability to reflect real-time inventory and pricing. Gartner analyst Bob Hetu noted that "OpenAI underestimated the difficulty of enabling transactions."

Against this backdrop, Google is doubling down. Centered on the Universal Commerce Protocol (UCP), the company is rapidly adding practical features such as real-time inventory integration, multi-item cart functionality, and loyalty program integration.

Technical Details: Google UCP and Bold Metrics

UCP is an open standard co-developed by Google with the industry. It's designed as a common protocol for retailers to sell products in AI-native environments.

For Gap, product information displayed on Gemini isn't crawled from Gap's website — it's accurate data pre-supplied by Gap. This prevents price and inventory discrepancies while maintaining customer data collection. Payments are processed via Google Pay, and Gap handles fulfillment.

According to Gerjets, Google's UCP differs fundamentally from OpenAI's "Agentic Commerce Protocol" in design philosophy. UCP is designed to give retailers control over the entire purchase experience, whereas OpenAI's approach focused primarily on product discovery.

Google's March 19 blog post announced new UCP features including "Cart" (adding multiple items to cart at once), "Catalog" (real-time inventory and price queries), and "Identity Linking" (loyalty program integration). Commerce Inc, Salesforce, and Stripe are also listed as UCP implementation partners.

Another standout technology is ASP, developed by Bold Metrics. It directly addresses size uncertainty — the biggest barrier in online apparel purchasing — through AI agents.

Unlike traditional size charts, ASP enables AI shopping agents to ask minimal questions during conversation and provide personalized size recommendations. It also returns natural language fit descriptions like "snug across the chest" or "slightly slim at the waist," giving consumers confidence in their size selection.

The AI shopping agents on the market today can't answer the most important question in apparel: 'What size should I buy?'

Source: Morgan Linton (Bold Metrics CTO, Retail TouchPoints)

ASP isn't exclusive to Gap — it can be deployed to other platforms through standard APIs and agent tools.

Impact and Strategies for E-commerce Merchants

Gap's move offers three important implications for e-commerce merchants.

AI optimization of product data is now essential. In an era where AI platforms recommend products via LLMs (Large Language Models), data that isn't readable by LLMs simply won't be recommended. CNBC's reporting highlighted that even if an AI tries to recommend a sundress to a consumer, the sales opportunity is lost if the data can't be parsed.

Early UCP adoption creates competitive advantage. Google is streamlining UCP onboarding through Merchant Center, with the number of participating retailers expected to grow in the coming months. The system is designed to be accessible to retailers of all sizes, not just major brands.

Solving the sizing problem directly reduces return rates. Size mismatches are one of the top reasons for returns in apparel e-commerce. Technologies like Bold Metrics' ASP can eliminate pre-purchase anxiety and significantly reduce return costs.

However, loyalty points currently cannot be earned or redeemed through Gemini purchases. While Gerjets has hinted at future support, this creates some friction for loyal customers that merchants should be aware of.

Conclusion

Gap's initiative symbolizes agentic commerce's transition from the "experimental stage" to the "implementation stage." Amid the contrasting moves of OpenAI's retreat and Google's offensive, UCP is increasingly likely to become the de facto standard protocol for AI commerce.

Gerjets stated, "Nobody knows what this space will look like in five years or who the winners will be. That's precisely why it's important to work with every platform and be present wherever customers are." For e-commerce merchants, the priority isn't betting on a specific platform but building a data infrastructure that can adapt to multiple AI environments.