Margins are falling. Cash is tight. Loyalty is low. Teams are stretched. Too many retailers are hooked on short-term tactics like paid search while brand equity erodes. The signs are everywhere: stressed teams chasing clicks, rising acquisition costs, and customers drifting away after their first purchase.
They’re adopting AI tools, shopping through social media, and expecting brands to keep up.
Retail platforms speak the language of merchants (categories, SKUs, attributes) and marketers (RFM segments, channel metrics).
Marketing, merchandising and site experience optimise for their own KPIs, often at the expense of long-term value creation.
Without personalization that reflects customer mindset and intent, it’s harder to build trust or bring shoppers back.
Relying on historical RFM data alone means missing the moment. Fashion buying is emotional, not transactional.
Mapp Fashion bridges the semantic gap with AI + stylists, adapting to the specific challenges of luxury, high-street fashion, and activewear brands.
Enrich feeds with the language of your customer so Shopping & PPC match real intent.
Generated natural language product metadata LLMs can parse and surface in AI overviews, without losing your brand voice.
Enable customers to find what they are looking for by using relevant, consistent shopper friendly language.
Show the versatility of every product for every shopper for every occasion, grounded in stock and rules.
Use product data, customer propensities, intent and mission to recommend what fits and gets kept.
Assemble theme led edits per customer from live inventory and intent signals.
Mapp Fashion helps you build deeper and valuable customer relationships.
Book your Demo