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When Innovation Happens Behind the Scenes: Our Shift Toward Conversational Interfaces

  • Writer: Christina Hadinoto
    Christina Hadinoto
  • Jun 4
  • 2 min read

Updated: 3 days ago

Building a Smarter Fashion Tech Foundation


From the very beginning, we made a deliberate choice: we would prioritize substance over flash. In an industry where appearances often take center stage, this wasn’t an easy decision. As a fashion tech company driven by innovation, we’re well aware that our current shopper survey—a static, traditional form—might not look particularly sexy or mindblowing.

And that stung a little.

But for us, it was the right choice.


Shopper Experience That Converts — Even Without the Flash

Instead of spreading our resources thin, we focused on what matters most: the core intelligence behind our Digital Shopping Advisor. That’s where we knew we could drive results for fashion brands and retailers.

Here’s what we invested in behind the scenes:

  • Improved product attribute mapping for higher recommendation relevance

  • Advanced heuristic pipelines for smarter matching logic

  • Optimized recommendation algorithms to surface what really fits

  • Color logic based on seasonal palettes and skin tone contrast

  • High-accuracy size prediction models using body data and brand-specific fit curves

These aren’t features you can see immediately — but they’re why fashion retailers using our tech see better conversion rates and lower return rates.

Because that was always the goal: to make people feel great in what they wear.


But now… it’s time.


Introducing Our Conversational Shopping Interface


We’re developing a new conversational interface for fashion personalization, starting with a chat-style conversation that replaces the traditional form-based survey. In this first version:

  • The structure and questions will remain the same

  • The look and feel will be friendlier and more dynamic

  • The goal: create a more human, more intuitive fashion shopping journey

Phase 2: Generative AI Meets Fashion Styling


Next, we’ll integrate Large Language Models (LLMs) into the interface. Think:

  • Open-ended questions

  • Smart, context-aware suggestions

  • A digital stylist experience that feels like a real conversation

This will allow shoppers to describe what they’re looking for in their own words — and get tailored, actionable recommendations instantly.


Innovation Where It Matters Most


Even while our shopper interface remained static, innovation never stopped. It just happened behind the scenes—where it matters most.


They are not features you can “see” right away. They’re not flashy. But they’re what made our results exceptional—and why fashion brands choose to work with us.

So yes, the survey looked simple. And yes, we knew it. But it gave us space to build the one thing we didn’t want to compromise on: the quality of what we recommend.


As we now begin to reshape the shopper experience with a new, more engaging interface, we’re staying true to our approach: innovation, not for its own sake, but in service of what truly matters—confidence, satisfaction, and better fashion experiences.


Stay tuned—there’s more to come...

 
 
 

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