# Conversational Sizing Recommendations Gap Inc. Introduced Predictive Sizing and AI-Native Commerce By Laura McQuarrie | Published 2026-03-26 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/gap-inc-ai References: [gapinc](https://www.gapinc.com/en-us/articles/2026/03/gap-inc-elevates-online-shopping-with-ai-powered-f)  Gap Inc.—the parent company of Old Navy, Gap, [Banana Republic](https://www.trendhunter.com/trends/ai-marketing-overhaul) and Athleta—introduced two new AI technologies to simplify the online shopping experience and support more confident purchasing decisions. “We are not pursuing AI for novelty,” said Sven Gerjets, Chief Technology Officer, Gap Inc. “These partnerships are about solving real customer problems—helping shoppers feel confident about fit and making it easier to complete a purchase." Uncertainty about size is a big barrier to buying apparel online—and ill-fitting garments are a large reason for returns—so Gap Inc. is embedding predictive fit guidance straight into AI-driven shopping flows. Rather than relying on static size charts alone, customers can now make the most of personalized recommendations delivered conversationally. Alongside [personalized fit guidance](https://www.trendhunter.com/trends/sizekick) from Bold Metrics’ Agent Sizing Protocol, Gap Inc. introduced support for [Google’s](https://www.trendhunter.com/trends/google-shopping) new Universal Commerce Protocol to meet customers wherever they choose to shop. ## Trend Insights (Trend Hunter) - Score: 6.5/10 - Popularity: 58% | Activity: 66% | Freshness: 71% - Audience gender: 50% men, 50% women - Primary generations: Millennial - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai) ## Key Themes ### What's Driving This Trend - **Conversational Sizing Recommendations:** Personalized chatbot-guided fit advice reduces size uncertainty for shoppers and creates opportunities to reshape product discovery and conversion with contextual, data-driven recommendations. - **AI-native Commerce:** Embedding predictive AI into the shopping flow shifts decision-making from static listings to dynamic, individualized experiences that can redefine merchandising, pricing and customer lifetime value models. - **Universal Commerce Protocol Integration:** Support for interoperable commerce standards enables seamless shopping across channels and opens possibilities for unified customer profiles and distributed commerce ecosystems. ### Who This Affects Most - **Apparel Retail:** Online clothing brands face a reduced return burden and new personalization-led differentiation as predictive sizing tools change how fit and assortment are merchandised. - **E-commerce Platforms:** Marketplace and platform providers can transform checkout and discovery by natively integrating conversational AI and universal commerce protocols to deliver consistent cross-channel experiences. - **Reverse Logistics:** Returns management and fulfillment operations are positioned for disruption as improved first-fit rates shift cost structures and enable novel fulfillment and sustainability models. ## Related on Trend Hunter - [Personalized Restaurant Call Experiences](https://www.trendhunter.com/trends/slang-voice.md) - [AI Companionship Platforms](https://www.trendhunter.com/trends/ai-companionship-1.md) - [Visual AI Workflows](https://www.trendhunter.com/trends/pageonai.md) - [Agentic Creative Production Tools](https://www.trendhunter.com/trends/luma-agents.md) - [CRM Automation Agents](https://www.trendhunter.com/trends/clientell-ai.md) - [Emotionally Aware AI Avatars](https://www.trendhunter.com/trends/emotionally-aware-ai-avatars.md) - [Terminal Coding Assistants](https://www.trendhunter.com/trends/ai-cli.md) - [AI Growth Platforms](https://www.trendhunter.com/trends/uni-ai.md) - [Feedback Analysis Tools](https://www.trendhunter.com/trends/vibe-board.md)