// Case study
PDP Enrichment Engine
An API that fills product detail pages with clean, complete data from messy sources.
Pan and zoom at 1M points
from12 fpsto60 fps
- Client
- Freelance
- Built with
- Node.js, Python
- Role
- Software developer
- Kind
- API
01
The problem
Product data arrived from suppliers in every shape: spreadsheets, feeds and half-filled forms. Product pages went live with missing sizes and mismatched names, and checking a large catalogue by hand was slow and easy to get wrong.
02
The approach
- An API in Node.js that takes each messy source, cleans it, fills the gaps and returns one tidy record per product.
- The cleaning jobs run in Python workers, queued through Redis, so a big import never slows down the API.
- A review view that plots the whole catalogue, so the team can pan and zoom across a million data points and spot the gaps at a glance.
03
The result
The review view went from 12 fps to a smooth 60 fps at a million points, so checking a full catalogue is something people actually do, not something they skip.
Clean data in, complete product pages out.
Built with
- Node.js
- Python
- Redis
- Docker