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Turn Browsers Into Buyers

StyleAI brings the human touch back to online retail with intelligent AI agents that boost conversion, reduce returns, and cut waste, helping retailers thrive sustainably in a digital-first world. Every visit becomes a step toward smarter, more sustainable commerce.

Built to Convert

StyleAI is built on modular AI agents, each focused on solving a specific challenge, from product discovery to reducing returns. As we grow, this
agent based system will power new features and retail capabilities.

1 / AI Agents That Sell, Not Just Chat

StyleAI agents behave like product experts, asking smart questions, understanding context, and helping shoppers find what they actually want.​


2 / Personalized in Real-Time

No static filters. Our agents pull live product data and adjust instantly to each shopper’s needs and intent, helping them get it right the first time.


 

3 / Conversations That Convert

Every interaction removes friction and builds confidence, leading to fewer returns, less overproduction, and a smoother path from discovery to decision.​

The Retail Challenge

Fashion e-commerce is under pressure, high return rates, low product relevance, and growing environmental waste are hurting both profits and the planet.

1 / High Return Rates

Returns in fashion are expensive and unsustainable. They create operational inefficiencies, erode margins, and lead to overproduction and wasted stock, both of which increase environmental impact.

2 / Poor Product Discovery

Most shoppers still face cluttered filters and irrelevant results. Without personalization, they either leave or buy multiple items “just to see,” which leads to frustration, lower conversion, and higher return rates.

3 / Technology Gap for Small and Mid-Sized Retailers

Many small and mid-sized retailers don’t have the internal resources to build or manage advanced digital tools. This limits their ability to offer personalized experiences or make data-driven decisions at scale, putting them at a disadvantage.

How It Works

Step 1 / Understands the Shopper

StyleAI captures context in real time: size, style, intent, and use case, using large language models to interpret natural input and identify patterns that influence buying decisions.

Step 2 / Retrieves the Right Products

Our agents use Retrieval-Augmented Generation (RAG) to pull live product data from your catalog. It filters based on availability, attributes, and relevance, no hardcoded logic, no outdated lists.

Step 3 / Refines Through Follow-Up

StyleAI adapts. It asks clarifying, context-aware questions and improves results dynamically using LLM reasoning and user feedback loops, no dead ends, no decision fatigue.

About Us

Our Story

StyleAI was born in California and brought to life in Amsterdam.


We’re a cross-cultural team united by a vision: to make online shopping feel as intuitive and personal as walking into your favorite boutique.

Driven by curiosity, creativity, and technical depth, we collaborate with retailers to turn personalization into real and measurable impact.

This isn’t just about recommendations. It’s about giving every shopper an experience that feels made for them. By improving product discovery and reducing returns, we address two of the fashion industry's most urgent sustainability challenges.

Our Approach

  • Impact-First Thinking: We’re designing for the next decade of
    e-commerce, where personalization and sustainability go hand in hand.
     

  • Big-Picture Thinking: We’re building for the next decade of retail, not just the next quarter.
     

  • Technical Excellence: Our AI agents are grounded in real product data and personalization science.
     

  • Human-Centered Design: Everything we build puts the shopper’s experience and the retailer’s goals at the center.

🏆 Winner: Best Development Award

Women in AI Benelux 2024 Accelerator

Contact

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Got questions, ideas, or just curious about what StyleAI can do for your brand? Reach out, we’d love to connect.

Follow us on LinkedIn!

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© 2025 StyleAI. All rights reserved.
StyleAI B.V. Amsterdam, The Netherlands

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