Use case
eCommerce and pricing data
Their price, your catalogue, this morning.
Price monitoring is rarely a scraping problem. It is a matching problem: deciding that their listing is your SKU, at the same pack size, is where these projects succeed or quietly produce nonsense.
We build the matching alongside the extraction, score every match, and route the ambiguous ones to a review queue rather than guessing. What you get is a change feed against your own catalogue.
Outcomes
What it is actually used for.
Each of these is a build we have scoped. They share the extraction and differ in what happens to the data afterwards.
- 01Daily price and stock changes against your SKUs
- 02Assortment gaps: what competitors carry and you do not
- 03Promotion and multibuy detection
- 04Marketplace and reseller price compliance monitoring
- 05Resale value tracking on second-hand platforms
- 06New and delisted product alerts per competitor
Platforms
Sources that feed ecommerce.
Most builds combine two or three of these.
Deliverables
What you get.
- 01Catalogue matching with a confidence score per match
- 02Human review queue for low-confidence matches
- 03Daily change feed: price moves, stock flips, new, delisted
- 04Full snapshot alongside the change feed
- 05Match-rate and coverage reporting per run
- 06Delivery into your pricing tool, warehouse, or sheet
Questions
Asked before.
What match rate should we expect?
It depends on your catalogue. Where clean identifiers exist it is high and mostly automatic; where they do not, expect attribute matching plus a review queue — and expect us to report the real rate rather than inflate it by loosening the threshold.
Do we get everything daily, or only changes?
Both. A full snapshot for your warehouse and a change-only feed for alerting.
Can you monitor second-hand and resale prices?
Yes. Resale pricing by brand, size, and condition is a common build for brands wanting to see what their products hold in value.
Next step
Put ecommerce data to work.
Tell us the outcome you are after and the market you operate in. We will come back with the sources, the fields, the schedule, and what it costs to run.