YesPlz AI's innovation instantly clicked with us. We started with their Mannequin Filter and quickly expanded to search, recommendations, and more. They're not just a vendor, they're a partner who truly listens and innovates alongside us.

Eunyoung Lee

GM, W.Concept Global

WCONCEPT, a leading global fashion retailer serving over 44 countries with 400,000+ products, knew their massive product catalog across was both their greatest asset and their biggest operational challenge. Manage over 1,000 brand synonyms. Manually tag thousands of new weekly arrivals. And handle over 1 million daily search queries. The team knew they needed a powerful AI solution.

By adopting YesPlz AI's hybrid search, automated tagging, Virtual Mannequin Filter, and personalized recommendation engine, the team transformed how shoppers explored their catalog.

The results came fast and stayed strong. Search add-to-cart rates jumped 5x above industry benchmarks

Challenges

• Manual tagging was bleeding money and slowing everything down:
  With 400,000 products and thousands added weekly, manual tagging couldn't keep pace — fresh inventory sat invisible to shoppers while costs kept climbing.

• Search failed when keywords management was out of control:
  Managing 1,000+ brand synonyms manually meant shoppers searching for a brand or style regularly got irrelevant results.

• Shoppers needed a more visual, interactive way to find what they wanted:
  Text-based filters made it hard for shoppers to explore styles visually — the browsing experience didn't match how fashion shoppers actually think.

• Manual curation couldn't keep pace with a massive, diverse catalog:
  Personalizing recommendations across 400,000 products and diverse global tastes was impossible without fashion-trained AI — generic popularity lists weren't cutting it.

• 1 million daily queries demanded speed that their old system couldn't deliver:
  Their old infrastructure buckled under 1 million daily queries — during peak moments, slow search meant abandoned sessions and lost sales across 44 countries.

Key Results

• 5x higher search ATC vs. industry benchmark

• 1.5x higher search CTR vs. previous RichRelevance site search

• 1.28x higher “More by Brand” recommendations ATC vs. industry benchmark

• 70% operational cost savings on product tagging

• 10 YesPlz AI tools leveraged
  

Solutions: 

• Automated tagging and localization:
  YesPlz AI tags new products within 15 minutes of upload — with style, occasion, and visual attributes — and handles translation across English, Korean, and Japanese. WConcept cut tagging costs by 70% while getting fresh inventory in front of shoppers faster.

• AI site search:
  The search engine combines image embeddings and fashion context to understand what shoppers actually mean — not just what they type. Search Tune Agent continuously automates keyword optimization across English and Japanese, eliminating manual synonym management for 1,000+ brands. Result: 5x higher search add-to-cart vs industry average.

• Virtual Mannequin Filter:
  Shoppers select style attributes by clicking a visual mannequin instead of scrolling text filters — making discovery intuitive. Average cart size increased 1.7x with zero manual tagging effort.

• Personalized recommendations:
  Seven recommendation experiences — co-designed with WConcept — deploy across the full shopper journey, from landing pages to cart. Fashion-trained AI matches individual style preferences, not just popularity.

• Enterprise infrastructure:
  The platform handles 1M+ daily queries with sub-second response times and 99.99% uptime — including traffic spikes across 44 countries.
  
  
  AI Site Search: Before and After (e.g., "Black pumps pearl")
  From keyword guessing to understanding what shoppers actually mean

Before

After

Fashion Filtering: Before and After AI Tagging
From incomplete text filters to a visual way to explore styles

Before

After

Similar Look Curation: Before and After Fashion AI
From attribute matching to recommendations that feel on-brand

Before

After

Complete the Look Curation: Before and After Fashion AI
From generic suggestions to outfits a stylist would put together

Before

After

Automate Translation Workflow: Before and After Fashion AI
From hours of manual translation to automatic, market-ready descriptions

Before

After

Read the full story:

Using AI in Fashion for Online Stores: A W.Concept Case Study