Pricing analytics
On top of the live competitive feed: the layer that turns prices observed into prices decided.
- built on the live scrape
- optimal price-point recommendations
The challenge
The team needed to understand what actually drives pricing in the segment — and how to price their own products optimally against the market.
What we built
Pricing analytics on the chemicals line: identify the factors that move pricing in the segment and recommend optimal price points from market insight, built on the CS-07 scrape.
The outcome
Category pricing calls made with evidence — position known, drivers understood, price points recommended before they ship.
Bring the problem. Leave with a scope, a timeline, and the number it should move.