Product Matching Across Marketplaces Using Generative AI

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A multi-brand retailer operating across Amazon, Flipkart, and its own D2C site faced significant challenges in consolidating product listings. Each marketplace followed its standards, and products coming from different suppliers carried inconsistent names, attributes, and descriptions. This resulted in duplicate entries, wrong product mapping, and frequent pricing mismatches across channels. The lack of a unified product catalog not only created confusion for customers but also led to operational inefficiencies, such as increased time spent on manual catalog management, difficulty in inventory synchronization, and delays in updating offers or discounts.

The Challenge

  • Identical products listed under multiple SKUs 
  • Poor mapping between supplier catalogs and marketplaces 
  • Time-consuming manual mapping of product titles and features 
  • Errors in price aggregation and availability reporting 
  • Confused analytics and inconsistent customer experience 
 

AIRA’s Generative AI Matching Engine

AIRA built a semantic product matching engine using LLMs and embedding models.  This intelligent agent:
  • Extracts and compares attributes from multiple listings 
  • Understands context, brand, product family, specs, and variants 
  • Flags duplicates, consolidates entries, and auto-links SKUs 
  • Integrates with PIM systems and marketplaces 
  • Generates unified product views with correct data 
 

Results

Metric Before AIRA After AIRA
Duplicate Listings ~30% ↓ 95%
Manual Mapping Time Days Minutes
Product Data Accuracy ~70% ↑ 98%
Errors in Order Routing Frequent Eliminated
Marketplace Sync Time Manual Real-Time

Testimonial

“What took our merch team days, AIRA now does in real time. Our catalog is clean, unified, and marketplace-ready.” — Director, Marketplace Ops  

Why Product Matching Matters

Product data chaos leads to poor visibility and lost sales. AIRA’s LLM-powered matching agents bring semantic understanding to your catalog across channels, vendors, and listings.

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