BBold Metrics provides AI-powered digital twin technology for the apparel industry, creating shopper-specific digital representations and predicting 50+ body measurements without physical tools. Its SaaS platform analyzes customer data with machine learning to generate accurate measurements and fit predictions, which brands use to offer per-style size recommendations through their e-commerce platforms. The company differentiates itself by delivering individualized sizing insights at the shopper level and supplying data-driven inputs for design and merchandising, rather than generic sizing guidance. Its goal is to help fashion brands reduce online returns, boost sales, and foster customer loyalty through better fit and personalized recommendations.
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Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$12.9M
Headquarters
San Francisco, CA
Founded
2014
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Total Funding
$12.9M
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Gap uses AI to modernise marketing across retail brands. 25th June 2026 Gap Inc. is expanding its use of AI, data, and automation across its marketing operations, covering campaign planning, personalisation, and execution across its brands. The company announced the initiative at the Cannes Lions International Festival of Creativity. It is working with Google Cloud, Zeta Global, and Publicis Sapient on the effort, which covers its brand portfolio, including Gap, Old Navy, Banana Republic, and Athleta. The initiative covers Gap's shared marketing organisation across its brand portfolio. It includes customer data, content, owned channels, and e-commerce. Gap said the initiative is intended to reduce silos across its marketing organisation and give teams better access to data. Damon Berger, senior vice president for marketing shared services at Gap Inc., said AI is being used to support strategy, storytelling, and customer interactions. Building the data layer. Google Cloud is providing the data and AI layer for the project. Gap announced its multi-year Google Cloud agreement in October 2025 and is using the company's technology to bring together customer and product intelligence. The work builds on that agreement, which was designed to support AI use across Old Navy, Gap, Banana Republic, and Athleta, including e-commerce, product creation, and customer experience. The retailer plans to use that foundation to support personalisation, decision-making, and continuous learning across content, activations, and e-commerce. The broader partnership also gives Gap access to Vertex AI, BigQuery, and Gemini. Gap is also using Agent Studio, Agent Engine, Gemini, Nano Banana, and Veo for AI workflows and image and video content generation. The company did not provide detailed output targets or cost figures for the content production work. Starting with owned channels. The rollout will begin with Gap's owned marketing channels, where Zeta Global will support the development of an AI-powered marketing stack. Those channels include Gap's e-commerce sites, apps, emails, loyalty communications, and other direct customer messaging. Zeta Global is supporting the retailer's owned marketing channels through Athena by Zeta. The platform is designed to connect customer data, decisions, and campaign execution, including audience strategy, creative development, activation, and optimisation. Gap said Athena's agentic capabilities will support decision-making across audience strategy, creative development, campaign activation, and optimisation. Gap said the work will support more personalised experiences and faster campaign delivery across key marketing channels. Publicis Sapient is supporting the broader implementation across talent, process, technology, data, and partner systems. Its work includes connecting content, commerce, activation, and customer signals as part of Gap's marketing operating model. Gap CTO Sven Gerjets said the company is using data, AI, and agentic capabilities to better understand customer intent and improve how teams work across its brand portfolio. Linking marketing to commerce. Gap's Office of AI introduced new shopping technologies in March, including personalised fit guidance and support for Google's Universal Commerce Protocol. The company also introduced more personalised shopping features during the 2025 holiday season, including curated trend-based recommendations and a digital assistant across its e-commerce sites and apps. In March, Gap said customers would be able to discover and buy products through AI Mode in Google Search and the Gemini app, using Google's Universal Commerce Protocol. The protocol is designed to let AI systems connect to merchant checkout flows and complete transactions within conversational interfaces. Gap has also worked with Bold Metrics on personalised fit guidance for size recommendations within AI-enabled shopping interfaces. The same Google Cloud partnership also covers product development, customer experience, and employee decision-making. Gap has said AI tools are being used across parts of the product-to-market process, including design, planning, and pricing. The project comes as Gap continues to prioritise technology investment. In its first quarter of 2026, the company reported its ninth consecutive quarter of positive comparable sales. In fiscal Q1 2026, Gap reported net sales of US$3.50 billion, up 1.0% year over year. Store sales rose 3%, while online sales fell 2%. Online sales represented 38% of total net sales in the quarter. Comparable sales at the Gap brand helped offset smaller gains at Old Navy and Banana Republic, while Athleta reported an 11% decline. Gap president and CEO Richard Dickson said on the company's earnings call that technology remains one of its investment priorities. Dickson described Gap as a "brand-led and intelligence powered" fashion company. He said data and AI are being used to help teams make decisions with greater consistency and efficiency. He also said Gap is using product intelligence to improve how it designs, buys, allocates, and replenishes inventory. Gap also relaunched its loyalty programme, Encore, during the quarter. The programme covers Old Navy, Gap, Banana Republic, and Athleta, and includes access, content, experiences, and rewards across the company's brands. Loyalty communications are among the owned channels included in the marketing rollout. Encore gives Gap another direct customer channel tied to its broader work across marketing, e-commerce, and customer engagement. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events, click here for more information. Marketing Tech News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here. Journalist As a tech journalist, Zul focuses on topics including cloud computing, cybersecurity, and disruptive technology in the enterprise industry. He has expertise in moderating webinars and presenting content on video, in addition to having a background in networking technology. Join its community.
Gap Inc. is testing AI-driven sizing tools from Bold Metrics as the retail industry prepares for "agentic commerce", where AI shopping assistants make purchase decisions for consumers. The San Francisco-based retailer is among early partners testing Bold Metrics' Agentic Sizing Protocol, launched Wednesday, which enables AI agents to deliver personalised size recommendations through natural conversation. The system creates a "digital twin" of shoppers' bodies from minimal inputs and combines it with garment-level fit data. "Sizing has long been one of the biggest points of uncertainty in apparel," said Gap CTO Sven Gerjets. The technology aims to address fit issues that drive billions of dollars in returns annually and undermine sales conversion. The protocol delivers human-readable guidance on how garments will fit and can be integrated across platforms.
Bold Metrics introduces Agentic Sizing Protocol to solve critical barrier in AI Commerce. The new protocol enables AI shopping agents to deliver fast, accurate size recommendations, powered by more than a decade of AI-driven fit modeling. March 24, 2026 Press Contacts SAN FRANCISCO - Bold Metrics, the leading AI-powered fit-and-sizing body data platform trusted by global apparel brands and retailers, today announced the launch of its Agentic Sizing Protocol (ASP), a proprietary protocol built specifically for agentic commerce. ASP enables shopping agents to deliver quick, personalized size recommendations directly within the checkout flow. Signaling early enterprise adoption, a global apparel retailer has joined as a launch partner. The Missing Piece in Agentic Commerce AI shopping agents can currently recommend products, compare styles, and check inventory, but the moment a shopper asks about sizing, the experience falls short. "AI shopping agents hitting the market right now struggle to answer the most critical question in apparel," said Morgan Linton, CTO of Bold Metrics. "The moment a shopper asks, 'What size should I get?' the AI agent does not have a clear path to accurately determine the right size. Agentic Sizing Protocol addresses this gap and enables a much more personalized agentic decision process that goes beyond size and captures a shopper's unique fit preference. In agentic commerce, every second of delay drives abandonment, so performance isn't optional; it's critical." How Agentic Sizing Protocol Works ASP is a lightweight, token-optimized protocol built specifically for AI-native commerce environments. When a shopper needs sizing guidance, the AI agent calls ASP, asks the shopper a minimal set of questions through natural conversation, and receives a personalized size recommendation along with plain-language fit context, such as "just right in the chest" or "slightly snug in the waist," so shoppers can make confident and informed decisions. The sizing interaction is transport-agnostic, supporting any transport mechanism, from APIs to CLIs to MCPs, easily integrating with emerging AI standards like Google's UCP. Enterprise-Grade Security for Multi-Agent Environments ASP is built with enterprise-ready security standards in mind. Retailer credentials never touch an AI agent and are never exposed to large language models. Instead, brands authenticate through secure, encrypted tokens, allowing retailers to scale agent integrations without compromising control or compliance. A New Layer of the AI Commerce Stack Bold Metrics is introducing ASP as a proprietary protocol designed for the broader commerce ecosystem, enabling AI agents across any platform to integrate sizing capabilities directly into their emerging agentic shopping experiences. Developers can integrate ASP through standard APIs or agent tooling, making it easy to add accurate sizing expertise to AI-driven shopping experiences. The protocol builds on more than 14 years of Bold Metrics' work in solving one of apparel ecommerce's most persistent challenges: helping shoppers find the right size online. The core technology generates a highly accurate digital twin with 50+ body measurements from only a few inputs. This core technology, combined with garment intelligence, allows shoppers to select their size based on their unique fit preferences. In agentic commerce, where an AI agent might know, for example, that a shopper wants a jacket a little looser in the chest so they can fit a sweater under it, ASP can enable this decision process in a powerful new way. ASP fills a critical gap in AI-powered apparel shopping by enabling AI agents to quickly recommend the right size while accounting for each shopper's unique fit preference. More details on Gap Inc.'s role as a launch partner can be found here. Bold Metrics is an AI-powered fit-and-sizing body data platform for the apparel industry. Using advanced machine learning, the platform generates a shopper's digital twin, consisting of detailed body measurements derived from minimal inputs, and combined with garment data intelligence to deliver highly accurate, personalized size recommendations. Trusted by leading brands and retailers, Bold Metrics helps retailers reduce returns, increase conversion, and power optimal fit experiences across ecommerce and emerging AI-driven shopping experiences. For more information, please visit boldmetrics.com.
SAN FRANCISCO, Aug. 8, 2023 /PRNewswire/ -- Bold Metrics , the artificial intelligence (AI) company specializing in advanced sizing solutions for the apparel industry, is thrilled to power fit for Mizzen+Main , a performance menswear company. Mizzen+Main customers can now use the Find My Size solution powered by Bold Metrics' AI-driven Smart Size Chart to quickly and accurately find the best size for their preferred fit.Mizzen+Main shoppers can use the Find My Size solution to quickly and accurately find their best size and preferred fit. Tweet this Bold Metrics is now powering fit for Mizzen + Main, the performance menswear company.Mizzen+Main combines performance fabrics with modern silhouettes to create clothes that look great and feel even better. Originally known for The Best Damn Dress Shirt, Mizzen+Main now creates multiple lines of apparel, helping men feel a lot more comfortable and even more confident."Mizzen+Main blends performance and comfort, and there's nothing more essential to comfort than fit," explains Daina Burnes, CEO of Bold Metrics. "Our AI solutions create a digital twin of each shopper, determining over 50 unique body measurements through a simple survey
Bold Metrics, an artificial intelligence (AI) company specializing in advanced sizing solutions for the apparel industry, has announced its partnership with Girlfriend Collective, an eco-friendly activewear brand for women.
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Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$12.9M
Headquarters
San Francisco, CA
Founded
2014
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs