5x Better Conversion Rates: What Fashion Retailers See with Our Recommender Engine

Struggling to convert visitors into buyers? You’re not alone. For fashion retailers, especially in the multi-brand space, overwhelming choice, sizing uncertainties, and poor fit are some of the top reasons

shoppers hesitate, or abandon their carts altogether.

That’s where Contour Lab comes in. Our recommender helps fashion retailers deliver personalized experiences that boost conversion rates up to 5x, all while reducing returns and increasing customer satisfaction.

What Is the Contour Lab Recommender Engine?

Our recommender engine combines fit, size, color, and style guidance to offer each shopper a curated view of what suits them best, both physically and emotionally. It’s like giving every shopper their own digital stylist, backed by data.

Unlike generic sizing tools or static filters, Contour Lab uses:

• Body shape & proportions, not just height and weight

• Visual features like skin tone, hair, and eye color for color palette recommendations

• Style preferences, based on real-life shopping behavior

• Brand-specific size data and design intent (fitted vs. oversized, etc.)

This creates a full-circle personalization loop that helps shoppers make quicker, more confident decisions.

What Kind of Results Do Retailers See?

Retailers using our technology consistently report:

• Up to 5x higher conversion rates on personalized sessions

• Increase in average order value (AOV), thanks to higher confidence and styling inspiration

• Lower return rates

• Stronger engagement with product pages through interactive fit and style suggestions

Why This Matters More for Multi-Brand Retailers

Multi-brand retailers face a unique challenge: too much choice, inconsistent sizing charts, and no unified product taxonomy. Our engine addresses this in 3 ways:

1. Choice Simplification: We surface the most relevant products based on the shopper’s profile, so the decision-making process becomes effortless.

2. Smart Sizing API with Conversion Layer: Our robust sizing engine includes a conversion layer that automatically detects and corrects discrepancies in sizing between brands and regions.

3. Brand Affinity Matching: We ask the customer which brands they like. Over time, we also learn which type of brands a shopper prefers, and help them discover similar labels or new ones that match their profile.

How It Works for the Shopper

Let’s say a customer logs into your store. Instead of browsing 500+ items, they get a curated feed of pieces that:

• Fit their body shape

• Come in sizes that match their proportions

• Use colors that complement their complexion

• Fit within their personal style and preferred brands

In other words, less scrolling, more adding to cart.

What Makes Contour Lab Different?

Most sizing or personalization tools focus on a single dimension. We deliberately chose a more human approach, reflecting the thoughtful help of a great in-store advisor.

• We’re not just a sizing tool.

• We’re not just a styling assistant.

• We combine fit, color, size, and (style) preferences into one intelligent recommendation engine.

It’s what we call the “holy 3-way”: sizing, styling, and color, because we believe people are more than just a size.

Want to See the Numbers for Yourself?

If you're curious how Contour Lab could boost your store’s performance, let’s talk. We’d be happy to walk you through real metrics from brands that have already transformed their shopper experience with us.

• Request a demo

• Get a sample test with your own catalog

• See how we improve your KPIs in weeks, not months

FAQ

Q: Will this work with my current e-commerce setup?

A: Yes, we’re already integrated with most major platforms, and our onboarding process is lightweight. There is even an IT-bypass scenario by leveraging our iframe to the fullest without penalizing the seamless shopper experience.

Q: Is this only for women's fashion?

A: Not at all. We work with both men’s and women’s fashion retailers, and our processes are tailored accordingly. How this is specifically tailored to men, you can read here.

Q: What if we don’t have complete sizing tables or tech packs?

A: We can help you extract or standardize this data, and we can work with design intent where available.

If you want to increase conversions, improve your shopper experience, and stand out in a crowded fashion market, a recommender engine that truly understands your customer is no longer optional, it’s a competitive advantage.