+19.0%

Increase in Search Conversion rate

+17.0%

Increase in Search Revenue per user

Industry:

Fashion

Business Unit:

Ecommerce

Use Case:

Product Discovery & Conversion Optimization

Channel:

Website

Key Objectives:

Enhance Product Relevance, Streamline Shopper Experience

Products:

Apparel

Accessories

Footwear

How Fashion Nova Achieved a $130M Revenue Uplift with Marqo

Company Overview

Fashion Nova is one of the most recognizable fast fashion brands, known for trend forward drops and a high velocity catalog. Founded in 2006 and headquartered in Los Angeles, California, the brand operates primarily through a direct-to-consumer model. Running on Shopify as one of the platform’s largest customers, Fashion Nova relies on fast, accurate product discovery to support its high-volume e-commerce business.

Why Fashion Nova Evaluated Marqo vs. Algolia

According to Fashion Nova, the team began exploring alternatives after identifying limitations in their existing Algolia-based search infrastructure. While the solution supported keyword-based discovery, Fashion Nova found it difficult to consistently capture shopper intent across a rapidly evolving catalog. As a brand focused on digital innovation, Fashion Nova looked for a solution that could deliver more intelligent, AI-driven discovery experiences, leading to a head-to-head evaluation of Marqo.

Challenges

Fashion Nova recognizes that delivering a seamless, customer-centric shopping experience at scale requires technology that can keep pace with a rapidly evolving catalog.

Despite sustained investment in search optimization, the team identified several persistent limitations in their existing search infrastructure:

Fashion Nova reported that descriptive, long-tail, and misspelled queries could return results that did not match shopper intent, adding friction to the purchase journey
Fashion Nova reported that keeping relevance current as new SKUs launched each week required ongoing manual curation and updates
Fashion Nova reported that out-of-the-box support for advanced semantic understanding, visual relevance, and multilingual queries was limited, which slowed experimentation on new discovery experiences
Fashion Nova reported the need for next-generation AI capabilities beyond traditional keyword approaches, without extensive engineering effort

The team began evaluating solutions that could better understand Fashion Nova’s catalog, reduce operational overhead, and enable AI-driven discovery without constant manual intervention. Fashion Nova ran controlled A/B tests comparing Marqo against Algolia, which highlighted the impact of Marqo’s catalog-trained, intent-aware relevance tailored specifically to Fashion Nova’s products.

Solution

Fashion Nova partnered with Marqo to modernize onsite discovery with an AI-powered experience that better understands shopper intent and leverages visual product signals. Using a model tailored to Fashion Nova’s catalog, Marqo helps deliver more relevant results across search and browsing experiences without requiring extensive manual tuning.

During the rollout, the team reported the following workflow and experience improvements:

Enhanced intent recognition: Powered by Marqo’s custom LLM training approach and vision capabilities, Fashion Nova reported improved interpretation of descriptive queries, automatic handling of misspellings, and support for multilingual searches without heavy manual configuration.
Visual search capabilities: Fashion Nova reported that visual signals from product imagery improved semantic relevance, enabling shoppers to find items by attributes such as color, style, and occasion even when queries were imprecise.
Merchandising agility: The team gained control over ranking through boosting, burying, and pinning rules that could be targeted by category or attribute, without requiring engineering intervention.
Learning from onsite signals: Fashion Nova reported ongoing ranking improvements over time by leveraging anonymized onsite behavioral and conversion signals.

Results

Fashion Nova tested Marqo against its existing Algolia implementation in a controlled, production A/B test over a two-month period, with 30% of traffic assigned to Marqo.
During the measured period, Fashion Nova reported the following outcomes:

Search performance

+19%

Increase in Search Conversion rate

+17%

Increase in Search Revenue per user

Overall business impact

+5%

Increase in Sitewide Revenue per user observed post A/B test

$130M

Increase in Additional Annual Revenue

Fashion Nova attributed these gains to improvements in discovery quality across the shopping experience, supported by semantic understanding, image based relevance, and behavioral signals that aligned results more closely with shopper intent.

Moving Forward

With Marqo powering search and collections, Fashion Nova is continuing to evolve product discovery across the shopping experience. As AI becomes embedded in how consumers find products and make purchasing decisions, expectations are shifting toward faster, more intuitive, and more personalized journeys. Fashion Nova is setting the pace for the next wave of commerce, exploring agentic discovery capabilities such as automated collection creation, conversational search experiences, more predictive personalization, and context aware refinements designed to reduce friction while browsing.
Fashion Nova described rapid experimentation and faster iteration cycles as a foundation for ongoing optimization, helping the team evolve discovery experiences quickly and stay ahead as AI reshapes online shopping.

Results reflect Fashion Nova’s experience during the measured period and may vary based on implementation, seasonality, traffic composition, and other business factors. Reported outcomes are Fashion Nova’s own measurements and do not constitute a guarantee of future performance. Metrics were collected using Fashion Nova’s onsite tracking pixel. Marqo processes only anonymized behavioral signals and does not collect personally identifiable information.Marqo™ is a trademark of Marqo AI Ltd. Fashion Nova® is a registered trademark of Fashion Nova, Inc. All other trademarks belong to their respective owners.

Related Case Studies

Footwear & Apparel

Ecommerce

KICKS CREW Increases Revenue and Conversion with Marqo’s AI-Native Product Discovery

Learn More

Footwear & Apparel

Ecommerce

KICKS CREW Increases Revenue and Conversion with Marqo’s

KICKS CREW is a leading global sneaker marketplace connecting enthusiasts with authentic footwear, apparel, and accessories. Specializing in streetwear and limited-edition releases, the platform offers over 400,000 unique styles from top brands like Nike, Adidas, and Jordan.

Read Case Study

Marketplace

Digital Assets

Shutterstock unlocks 23% increase in search satisfaction with Marqo

Learn More

Marketplace

Digital Assets

Shutterstock unlocks 23% increase in search satisfaction with Marqo

As a Shutterstock-owned platform, Envato is a leading global creative ecosystem offering high-quality digital assets including website templates, video, audio, graphics, and plugins to designers, developers, marketers, and content creators.

Read Case Study

Marketplace

Digital Assets

Envato reduces search abandonment with Marqo

Learn More

Marketplace

Digital Assets

Envato reduces search abandonment with Marqo

Envato (a Shutterstock Company) is a leading global creative ecosystem offering high-quality digital assets including website templates, video, audio, graphics, and plugins to designers, developers, marketers, and content creators.

Read Case Study

View All Customer Stories