Cross-Reference & Analytics Backend for Parts Catalogs
Auto Parts Analytics & Cross-Reference Engine
Cross-reference engine across 3600+ catalogs with real-time pricing, stock and demand analytics.
2024Shipped
6engineers
5Screens
ClientSector: Automotive aftermarket marketplace · NDA
Overview
A Go backend powering an automotive aftermarket marketplace. Ingests 3600+ parts catalogs from manufacturers and distributors, normalizes them and builds a cross-reference graph across part numbers and alternative suppliers. Buyers search by any part number and get every compatible alternative ranked by price, quality and purchase popularity. Operators see seasonal demand and stock ahead of price curves. Sustained 1900 requests per minute at peak. Heavy engineering on storage layout, indexing strategy and API latency.
What ships with it
- → Multi-supplier cross-reference graph across part numbers
- → Real-time pricing and stock-level data per SKU
- → Buyer search ranked by price, quality and popularity
- → Seasonal demand analytics for operator-side procurement
- → Engineered around storage layout, indexes and API latency
Screens
01/05
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Numbers that matter
3600+Catalog sources
1900/minPeak request rate
Multi-millionSKUs indexed
Multi-supplierCross-reference graph
Stack
GoPostgreSQLElasticsearchClickHouseRedisKafkagRPCDockerKubernetes
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