VibeIQ - The only AI product decision platform transforming the pivotal early stages of retail and apparel go-to-market - debuts in Europe. Role-based AI agents that actively advance product direction and decisions - combined with deeper line plan automation, concept generation, and automated product handoff - help brands understand their products earlier, optimize their assortments faster, and take the right product to market with confidence. LONDON, March 30, 2026 - VibeIQ, the fast-growing software solution already trusted by leading global retail, footwear, and apparel brands including New Balance, L.L. Bean, Vera Bradley, Stuart Peters, and Malbon, today announced a major evolution of its platform at PI Apparel London, to coincide with a new presence in Europe. As part of a wider product evolution, VibeIQ is introducing new, role based AI agents capable of meaningfully advancing product decisions and direction. These bring AI-powered decision-making to the most pivotal stages of product creation, and extend the compounded benefits of AI grounded in product data and business logic from first concept to market-readiness. In a market where AI capabilities are often throwaway additions, this evolution is directly informed and driven by the real priorities and demands of product creation teams at some of the world's biggest brands. For years, these merchandising, design, and product teams have worked with disconnected tools, losing time, vital alignment, and collective confidence at every handoff point between platforms and people. Under that legacy model, mission-critical assortment decisions were made without a clear understanding of the products contained in them, and without visibility into how the choices that drove them were made. In its original form, VibeIQ was built to change that - bringing product creation teams together in a single digital workspace where product insight is generated earlier, shared faster, and used to make better assortment and go-to-market decisions. That model has now been proven in the most demanding go-to-market workflows. Today's announcement represents the next step - rearchitecting the VibeIQ platform to put trustworthy AI at the core, and applying that AI in ways that accelerate product understanding, and solidify direction along the arc from initial concept through detail, design and viability. This gives merchandising teams a new framework for optimizing what they take to market, and provides the wider product creation community with the right grounding to then cost, develop, and position those products with total confidence. Industry context: bringing the right product to market, faster. Brands face constant pressure to move quickly without sacrificing the quality of their assortments. But you can't optimize an assortment without first understanding its products - and that understanding has traditionally come too late in the process, despite the best efforts of merchandising and creation teams to digitize the way they work using the available patchwork of tools. VibeIQ addresses that audience, and that fragmented toolset, directly, creating a user-first digital workspace, fully-featured with tools (and now state of the art AI) to shift product insight forward so merchandising, design, and product teams can make better decisions earlier. New capabilities in this release include: AI Agents: Reliable, role-based agents grounded in both product data and real working patterns, that operate alongside merchandising, design, and sales teams at every stage - orchestrating tasks, surfacing insights, and keeping decisions moving so nothing falls through the cracks. Line Plan Automation: AI-driven scenario generation that can turn financial strategy into a complete assortment plan - with automatic design assignment and intelligent optimization built in. Concept Generation: Generative AI that moves teams from sketch to product-ready artwork in moments - enabling concepts, recoloring, restyling, and creative exploration at a speed that wasn't previously possible, and consolidating workflows and token budgets that have so far been spread across multiple tools, without compromising on the quality of image generation. Product & Production Handoff: AI that automatically translates design intent into structured product definitions - the detailed design and specifications needed to assess viability and move confidently into development - without the manual back-and-forth that typically slows the transition from creative to production teams. Together, in the same workspace already loved and trusted by top-end product creation teams, these capabilities accelerate the product insight that merchandising teams need to optimize their assortments - helping brands define products, assess them against viability criteria like margin, assortment fit, ESG, and customer signals, and arrive at confident decisions before a single sample is cut. The faster a product is understood, the faster an assortment can be optimized - and the more confidently it can move into development. AI needs a home - and most brands don't have one. Brands can't effectively leverage AI without a place where AI can access the product line, evolve it, present it, capture change, and align teams around what's happening in real time. That place doesn't exist in most organizations today: product and assortment information is scattered across spreadsheets, slides, and disconnected systems that AI can't meaningfully work with, and creative teams are burning tokens on visualization and concepting exercises that live outside the scope of the systematized product journey. The new evolution of VibeIQ provides that missing foundation. Because it captures both the qualitative and quantitative - design intent alongside structured merchandising data - in one place, updated in real time, far earlier in the process than any other system reaches, VibeIQ now gives AI something to actually work with, and a scaffolding for that work to meaningfully operate inside of. When tools like ChatGPT, Gemini, or Claude are connected to VibeIQ, they gain access to a live, accurate view of what a brand is building right now - something they can't find anywhere else. This is the same data model that makes VibeIQ's own AI agents uniquely capable - and it's what positions VibeIQ as an essential foundation for how leading brands are building their AI-powered future. What leadership is saying. "The product decision process has been broken for years - not because teams lack talent or ambition, but because the tools they've relied on were never built for the speed and complexity the market demands today. You can't optimize an assortment if you don't truly understand your products - and that understanding has always come too late. VibeIQ changes when and how that insight is created. That means it holds the most complete, accurate, and current product information in the business. When the AI tools brands are already investing in can tap into that, everything gets sharper. That's not a feature. That's a different kind of advantage." - Brian Lindauer, CEO, VibeIQ Expanding into Europe. VibeIQ's presence at PI Apparel London also marks the company's formal expansion into the European market, bringing its platform to retail and apparel brands across the region. PI Apparel London - one of the industry's leading events for retail technology and innovation - is a natural stage for the announcement, as European brands face the same pressures around speed-to-market, decision confidence, and product performance that have driven strong adoption among leading North American brands. Brands and retailers interested in a platform demonstration can connect with the VibeIQ team at PI Apparel London on March 30 & 31, or request a demo at vibeiq.com. About vibeiq. VibeIQ is the AI-powered product decision platform purpose-built for retail, footwear, and apparel brands. By unifying merchandising, design, and product teams within a single digital workspace, VibeIQ accelerates product understanding from first concept through detail, design and viability - so brands can optimize what they take to market with speed and confidence. Trusted by brands including New Balance, L.L. Bean, Vera Bradley, Stuart Peters, and Malbon, VibeIQ gives enterprise teams the AI-powered intelligence to bring the right product to market at the right time. Stories from the fold between fashion and technology, told by industry experts.

VibeIQ, a product decision platform used by brands including New Balance, L.L. Bean and Vera Bradley, has announced a major platform evolution featuring AI-powered capabilities for merchandising and product development teams. The Boston-based company's new features include role-based AI agents that orchestrate tasks across teams, AI-driven line plan automation that converts financial plans into assortment strategies, and generative AI concept generation. The platform also automates product handoffs between creative and production teams. VibeIQ positions itself as essential infrastructure for brands using AI tools like ChatGPT or Claude, providing real-time access to product and assortment data typically scattered across disconnected systems. The announcement was made at PI Apparel London, marking the company's European expansion. VibeIQ has raised $295 million to date.

VibeIQ, a software platform for retail and apparel brands, has announced its European expansion at PI Apparel London, unveiling new AI-powered capabilities for product creation teams. The company's clients include New Balance, L.L. Bean, Vera Bradley and Malbon. The platform provides a unified digital workspace where merchandising, design and product teams can collaborate using AI-driven tools. New features include role-based AI agents, automated line planning that translates financial targets into assortment plans, generative AI for concept creation, and automated product-to-production handoff. VibeIQ aims to centralise fragmented product data, enabling both its native AI agents and external tools like ChatGPT and Claude to access real-time product information. The platform helps brands make product decisions earlier in the creation process, before committing to physical samples.