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
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.
Making every product speak your customer’s language
Come and see us at NRF. We’ll show you where your catalogue is invisible today and what it takes to fix it.
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.
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.