Model in a flowing brown silk shirt walking past a sunlit sandstone wall

Plug-and-play AI fashion discovery

The stylist your storefront never had.

TrendifAI adds a fashion-native assistant layer to any retail site. It guides shoppers in real time, returns high-confidence matches, and turns every conversation into usable retail intelligence.

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71%

expect personalised interactions

70%

MENA carts lost to choice overload

30%

sales lift from personalisation

The problem

Fashion e-commerce still makes shoppers do all the work.

Shoppers expect journeys that recognise them and reduce friction. Most retail sites still offer static grids, manual filters and guesswork — the same browsing flow for everyone.

92% of retailers believe their personalisation works. Only 48% of consumers agree.

How it works

Guide. Recommend. Learn.

Guide

The assistant asks what the shopper wants — style, fit, occasion, colour, budget — captured conversationally instead of through long filter menus.

Recommend

It returns high-confidence product matches from the live catalogue, with outfit completion and inventory-aware alternatives.

Learn

Every session becomes insight: demand themes, hesitation points, fit and price sensitivity — ready for merchandising action.

TrendifAI shopping assistant guiding a shopper on a fashion e-commerce site

The assistant, live inside a retailer's storefront — guiding a shopper from intent to a complete look.

Model in a terracotta silk kaftan in golden hour light

Fashion-native

It speaks the language your customers shop in.

The future of fashion is conversational.

Fit, fabric, drape, occasion, modesty, colour story. TrendifAI understands the vocabulary of fashion, so a shopper can describe what they want the way they would to a stylist — and get a real answer back.

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For retailers

Built for the team that buys it, not just the shopper who uses it.

TrendifAI is retail infrastructure. It installs on your existing storefront, lifts conversion on traffic you already pay for, and hands your buying and merchandising teams first-party demand intelligence they cannot get from a filter menu.

Higher conversion on existing traffic

Guided discovery removes choice overload, the single biggest cause of abandoned fashion carts in the region.

Bigger baskets

Outfit completion and inventory-aware substitutes turn one product view into a full look.

First-party demand data

See what shoppers asked for in their own words — styles, occasions, fits, price ceilings — session by session.

Smarter buying and merchandising

Spot emerging demand themes and stock gaps early, and plan assortment against real intent instead of last season's report.

Plug-and-play deployment

No replatforming. It layers over your current site and catalogue and goes live with your existing product feed.

Fashion-native, not generic AI

The model speaks fit, fabric, occasion and modesty — the language your customers actually shop in.

Your retailer dashboard

Assisted sessions, conversion lift, basket impact, top requested styles and emerging demand themes — the insight layer your team logs into every morning.

Book a retailer demo