Luxarmonie Product
Intelligence
A French lighting e-commerce was spending 40 hours a month hand-extracting specs from inconsistent supplier catalogs. We turned that into an automated extraction pipeline — and an ongoing technical review that keeps the catalog accurate as new products arrive.
The Context
Luxarmonie is a French e-commerce brand selling professional and commercial lighting, sourced largely from manufacturers in China. Their growth depended on listing products fast — but every new product first had to be understood, technically, before it could be sold.
Supplier data arrived in whatever format each factory used: PDFs, spreadsheets, mixed languages and units, specs buried in product images. Someone had to read all of it, extract the real technical values, and turn them into clean listings a buyer could trust.
The Problem
40 hours a month that couldn't scale
Extracting specs by hand took roughly 40 hours every month — slow, draining, and impossible to grow without hiring. Worse, manual transcription introduced errors into technical specs, and in lighting an inaccurate lumen, CCT, or IP rating quietly erodes buyer trust.
The Process
A canonical spec model
Before automating anything, we defined the single source of truth: a normalized schema for every value that matters in a lighting listing — lumen output, CCT, CRI, IP rating, wattage, beam angle, dimensions, materials. Inconsistent supplier data now had one target to map to.
An intelligent extraction pipeline
Built in Python with the Claude API: the pipeline reads supplier PDFs and documents, extracts the technical specs wherever they hide, normalizes them into the schema, and flags anything ambiguous for human review instead of guessing. What took a day now runs in minutes.
E-commerce output + ongoing technical review
The clean data feeds straight into e-commerce-ready product descriptions. And because new products keep arriving, the engagement didn't end at delivery — it became a continuous technical review, validating specs against the suppliers in China so the catalog stays accurate as it grows.
The Results
Diego transformed our product documentation process. What used to take our team 40 hours a month now runs automatically. The accuracy is remarkable — no more manual errors in technical specs.
Tools Used
Drowning in supplier catalogs?
If your lighting catalog grows faster than your team can keep its specs accurate, I build the pipeline — and stay on as the ongoing technical review that keeps it trustworthy. Let's talk about a monthly partnership.