AI-led product discovery is arriving fast.
Fashion brands need to be ready.

LLMs are becoming the new storefront and most retailers won't be visible in it.

When shoppers ask ChatGPT,, Google SGE, or retail copilots for “a warm rain jacket for city commuting” or “a dress that works for a fall wedding”, the winners won’t be the biggest brands. They’ll be the brands with AI-readable product context.

LLMs don't discover brands. They discover products.

Right now, most fashion catalogues were built for:

  • internal merchandising

  • filters and facets

  • keyword search

Not for:

  • natural language

  • intent-based prompts

  • AI reasoning over fit, occasion, climate, style, and use

Why talk to

Mapp Fashion at NRF

At Mapp Fashion, we help Fashion Retailers making their catalogues:

  • understandable to LLMs

  • aligned to how real people describe what they want

  • rich enough to power discovery, personalisation, and insight across every channel

Not by changing your brand, not by replacing your stack, but by giving your products the context AI needs to choose them.

Fashion-Fluent AI

The Solution

Making every product speak your customer’s language

Meet Mapp's Team at Booth 2167

Open Link

James Brooke

CEO @ Mapp

Sarah McVittie

VP Marketing @ Mapp

Maurizio Alberti

SVP Revenue @ Mapp

Marco Salerno

VP Western Europe @ Mapp

Valerio Mensitieri

Senior Account Executive @ Mapp

Trusted by Leading Global Fashion Brands

If AI Assistants are becoming the first place shoppers ask for advice,
are you confident your products can explain themselves?

Come and see us at NRF. We’ll show you where your catalogue is invisible today and what it takes to fix it.

Results that Matter for Fashion Retailers

Case Study

How House of Bruar Improved ROAS by 38% Through Product Type Enrichment

House of Bruar, a leading Scottish country fashion retailer, partnered with Mapp Fashion to fix feed quality issues and make product data more meaningful to real shoppers. Google Merchant Center had flagged problems like mismatched availability and price, along with missing attributes, leading to wasted impressions and reduced visibility. By enriching product types with clearer, customer-friendly language and seasonal context, the brand transformed its data into a performance driver.

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+38%

Increase in Return On Advertising Spend (ROAS)
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+51%

Increase in Revenue
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+9%

Increase in Click Through Rate
"Thanks to Mapp Fashion’s elaborate product data, we see higher intent-driven traffic and a 20% increase on product feed clicks. We’re also benefitting from constant A/B tests with said data for growth and improvement." - John Hodge Head of Mail Order & eCommerce at House of Bruar
Case Study

4% Increase in Revenue per Visitor With 1:1 Personalization

How Country Road Group implemented AI-driven product tagging and personalized outfit recommendations.

Country Road Group is one of Australia’s largest specialty fashion retailers with five iconic brands: Country Road, Mimco, Trenery, Witchery & Politix. They partnered with Mapp Fashion to improve their product tagging & leverage this to improve the product discovery experience.

Using Mapp Fashion, they launched personalized outfits & similar item recommendations on the Product Detail Page (PDP). The outfits are displayed by occasion, showing the versatility of each garment and giving the customer style inspiration. They also launched personalized weekly emails to make sure their customers’ shopping experiences get better and better.

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+11%

Increase in Revenue per Email
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+4%

Increase in Revenue per Visitor
"Our digital strategy is key to the future growth of Country Road Group and critical to this is putting our customers at the heart of everything we do. Our partnership with Mapp Fashion is helping us to achieve that goal by providing personalized recommendations and outfits, so we can deliver the best experience to our customers." - Matthew Horn GM - Customer & Digital at Country Road Group