Fashion-Native AI for e-com profit

What leading fashion brands achieved with dresslife.

  • TEVEO: +30% PDP recommendation revenue View TEVEO post
  • Reebok: +37% PDP recommendation revenue View Reebok post
  • EDITED: +10% Total e-commerce revenue View EDITED post
    All figures from statistically significant A/B tests against a control group.

Fashion's structural problem

Generic recommenders weren't built for fashion.

  • Built for standard products like a PlayStation
  • Fashion's reality
    • Product lifecycle: Sells for years vs. Under 90-day cycles
    • Product variants: Comes as-is vs. Dozens of SKUs per product
    • Body dependency: No dependency vs. Depends on the body — cut, and even color

Generic predictions are less accurate in fashion due to its short cycles, variant explosion, and body dependency.

How dresslife drives uplift that generic engines can't.

Fashion-specific data

First-party fashion data — product images, size and stock coverage, real clickstream — not a generic catalog feed.

Fashion-specific AI

Specialized models for product, style, intent, and fit — combined into one recommendation, built for fashion's short cycles and variants.

Profit, not clicks

Optimizes for profit, not engagement — factoring price, discount, and availability into every recommendation.

Fashion-specific features

Outfit AI, availability handling, and merchandising overrides — capabilities a generic engine doesn't have at that level.

What a €100M retailer gains

A 5% revenue uplift from dresslife drives +25% profit.

  • Profit without dresslife: €10M
    €100M revenue · 10% baseline margin
  • Revenue uplift: +€5M (a conservative, average uplift from dresslife's personalization)
  • Margin impact: +€2.5M (~50% gross margin — no extra ad spend, fixed costs already covered)
  • Profit with dresslife: €12.5M

Profit without dresslife

  • €100M revenue · 10% baseline margin
    €10M
  • Revenue uplift: +€5M
  • Margin impact: +€2.5M

Profit with dresslife: €12.5M
+25% profit — from just a 5% revenue lift. Every 1% revenue increase ≈ +5% profit.

Product overview

dresslife elevates profit and user experience across the full user journey.

  • Recommended for you: Real-time recommendations of what each shopper is most likely to buy next — at the best price, discount, and availability.
  • Outfit AI: AI-styled, AI-rendered shoppable looks from a single product image.
  • Similar items: Closest viable alternatives when a product is unavailable or commercially suboptimal.
  • Cart recommendations: The most relevant additions in the cart, at the moment of purchase intent.
  • Cross-category: View a t-shirt, get a matching jacket — moving shoppers across categories (footwear → apparel, jersey → lifestyle & accessories).
  • Category re-sort: Real-time PLP re-sort per shopper, up to the last click — factoring behavior, price, discount, and stock.

Strategic

  • Ad-landing personalization: Personalizes the content and products a shopper sees right after they click an ad.
  • More journey levers: Same personalization layer, more touchpoints.

How dresslife operates

Live fast. Continuously optimized. Autonomous, under your control.

  • Live fast: Integrated in Shopify in under a day, under five days on other platforms — alongside your stack or replacing a generic engine. No rip-and-replace.
  • Continuously optimized: We deploy the features and optimize the AIs, end-to-end, for profit — like a CRO team you don't have to staff.
  • Autonomous, under your control: Can run fully autonomously. But you steer the calls that matter: prioritize products as signals the AI weighs, or as hard overrides.

Getting started

Go live in under a day — first measurable uplift within 4 weeks.

Pilot Weeks 0–12

  1. Start: Retailer integration under a day on Shopify, under five days on other platforms.
  2. 1–4 weeks: Collect data & tune AI. dresslife collects product and user-event data and calibrates the recommendation AIs on your data.
  3. 5–12 weeks: Real uplift & A/B test. Uplift is live from week 4. The A/B test against your existing setup confirms it as statistically significant.

Post-pilot Ongoing

Continuous growth: maximizing uplift 5%+. We expand to new features and keep optimizing the AIs — conversion, margin, and profit improve over time.

Next steps

Real uplift in 4 weeks — compounding growth from there.

See how it works — and what it could do for you.