There’s a problem hiding in plain sight at most retail, footwear, and apparel brands.
It’s not a lack of talent. It’s not a lack of ambition. And increasingly, it’s not even a lack of AI investment. The problem is that all of that investment — the tools, the models, the budgets — has nowhere meaningful to land. Product and assortment information lives in spreadsheets, slides, and disconnected systems. Design intent exists in one place, merchandising data in another. And the decisions that determine what actually goes to market get made in the gap between them, without a full picture, and almost always too late.
That’s the decision gap. And it’s been costing brands in ways that compound quietly — slower assortment cycles, misaligned development, and go-to-market confidence that erodes precisely when it’s needed most.
Today, we’re announcing the next major evolution of our platform — one built around a single premise: AI needs a home. But more than that, it needs the right home — one built inside the decision gap, where product information, design intent, and merchandising context finally converge. For retail and apparel brands, that home is VibeIQ.
Why AI Alone Isn’t Enough
The arrival of powerful AI tools hasn’t closed the decision gap — it’s sharpened it. Brands are investing in models and capabilities that can’t access the one thing they need most: a live, accurate, structured view of what the brand is actually building right now.
ChatGPT, Gemini, Claude — these are genuinely powerful tools. But connected to spreadsheets and slide decks, they’re working blind. They can generate. They can summarize. What they can’t do is improve a decision they can’t see.
We change that. Because our platform captures both the qualitative and the quantitative — design intent alongside structured merchandising data — in one place, updated in real time, and earlier in the process than any other purpose-built system reaches, we give AI something to actually work with. When the AI tools brands are already investing in are connected to our platform, they gain access to a live view of what a brand is building. That’s not an integration. That’s a foundation.
Here’s how our CEO Brian Lindauer frames it:
“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. 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.”
What We’ve Built
This platform evolution rearchitects our platform to put trustworthy AI at the core — not as an add-on, but as an active participant in the product creation process from first concept through market-readiness. Four new capabilities define this release:
AI Agents
Most AI tools in the market today generate outputs. Our new role-based agents do something more useful: they advance decisions. Grounded in both product data and real working patterns, these agents operate alongside merchandising, design, and sales teams at every stage — orchestrating tasks, surfacing insights, and keeping direction moving so nothing falls through the cracks. Built for the specific roles and workflows that define how product decisions actually get made, they’re not generic assistants — they’re active participants in the process.
Line Plan Automation
Turning financial strategy into a complete assortment plan has traditionally required significant manual effort — and created significant room for misalignment. Our line plan automation changes that, using AI-driven scenario generation to translate financial targets into fully structured assortment plans, with automatic design assignment and intelligent optimization built in. The result is a faster, more accurate path from strategic intent to actionable line plan.
Concept Generation
Creative teams at most brands currently piece together concepting and visualization workflows across multiple specialized tools — burning budget and breaking continuity in the process. We now bring concept generation into the same workspace where product decisions happen, using state-of-the-art generative models to move teams from sketch to product-ready artwork in moments. Concepts, recoloring, restyling, creative exploration — all without leaving the environment where those concepts will ultimately be evaluated, refined, and committed.
Product & Production Handoff
The transition from creative to production is one of the most friction-heavy moments in the go-to-market process. Design intent gets lost in translation. Specifications require manual reconstruction. Development timelines absorb the cost. Our automated product and production handoff eliminates that friction — automatically translating design intent into the structured product definitions needed to assess viability and move confidently into development, without the back-and-forth that typically slows everything down.
The Compounded Advantage
Each of these capabilities is meaningful on its own. Together, in the same workspace already trusted by brands including New Balance, L.L. Bean, Vera Bradley, and Malbon, they create something more significant: a compounded advantage that builds from first concept to market-readiness.
The faster a product is understood, the faster an assortment can be optimized. The more confidently direction is established early, the less correction is required later. And the more AI is grounded in accurate, structured, real-time product data — rather than spread across disconnected systems — the more every decision it informs improves.
That’s what this evolution of VibeIQ delivers. Not AI as a feature. AI as the foundation for how leading brands build their go-to-market future.
See It in Action
If you’re ready to see what this looks like, we’d welcome the conversation. Request a demo — and see what’s possible when AI finally has a home.
