Finzarc finzarc.
Book a call →
pool & wellness equipment · delivered

Pricing analytics

On top of the live competitive feed: the layer that turns prices observed into prices decided.

sales & pricing pool & wellness equipment
built on the live scrape
optimal price-point recommendations

The challenge

There was no analytics layer to show what actually drives pricing in the segment, or 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.

WANT ONE LIKE THIS?

Bring the problem. Leave with a scope, a timeline, and the number it should move.

Book a call →
RELATED BUILDS

Related builds from the ledger

Back to the full delivered-build ledger →
FAQ

Questions we get asked about this build

What did Finzarc build for this client?

Finzarc built pricing analytics on the chemicals line, identifying the factors that move pricing in the segment and recommending optimal price points from market insight, built on top of the CS-07 live competitive scrape.

What does the analytics layer deliver?

It turns prices observed into prices decided. Finzarc's layer means category pricing calls are made with evidence: position known, drivers understood, price points recommended before products ship.

What is it built on?

It runs on Finzarc's live competitive scrape (CS-07): the feed sits underneath, the analytics layer sits on top.

Can Finzarc build something like this for us?

Yes. Bring the problem, leave with a scope. Book a call at /book.

Finzarc is an India-based AI & data-engineering studio: production automations, analytics and custom apps for enterprises, first delivery in about three weeks. This is delivered work for pool & wellness equipment: see how Finzarc ships in about three weeks, or bring the problem and leave with a scope. Working software > promises of future.