Taglr — Distributed Product Catalog Platform
Cloud-native platform cataloging 80 million products with real-time search and analytics
The client
Taglr is a product discovery platform. Think of it as a search engine for shoppers: it pulls in product catalogs from multiple retailers (online and offline) and lets people search and compare everything in one place.
The problem
Build a platform that can catalog and search 80 million products from multiple retailers in real time. It needed to handle massive data ingestion from all kinds of sources, auto-scale with demand, serve personalized search results, and give retailers analytics on how their products were performing.
What we built
A distributed platform with a scalable ETL pipeline that pulls in and processes catalog data from multiple retailer feeds. The whole thing auto-scales based on demand.
Technical highlights:
- Distributed ETL pipeline across multiple retailer feeds
- Auto-scaling architecture that adjusts to real-time demand
- Personalized search based on user profile and browsing history
- Machine-assisted workflow with manual override for catalog processing
- B2B analytics dashboard for retailer market positioning
- 80 million products, searchable and updated in real time
What happened
Real-time product search across 80 million items. Auto-scaling kept the system available without blowing up hosting costs. Retailers got market positioning insights through the analytics dashboard that they were actually using.
The connection to what we do now
80 million product records, ingested, normalized, served in real time. That's the exact infrastructure AI-powered product discovery needs. The agentic commerce platform builds on the same bones. The difference is the interface: now it's AI.
“Your experience and guidance has been the perfect match for our enthusiasm. Working with you all has been a pleasure.”