We collect competitor prices, availability and assortment on a schedule, match their listings to your catalog so you are comparing the same product rather than a similar name, and surface the small set of SKUs where you are leaving money on the table or losing the sale. The output is a ranked action list and alerts, not another dashboard nobody opens.
A person can check the top hundred SKUs. The other nine thousand drift, and the drift is invisible until margin or conversion moves for reasons nobody can explain.
The same product sits under four different titles across four sites. Comparing by title produces confident numbers about the wrong pairs, which is worse than having no numbers.
A daily export of ten thousand competitor prices is not information. Someone still has to find the twenty rows that matter, and that someone rarely has the time.
Not the whole market and not the whole catalog. The set that actually moves revenue is usually small, and starting there gets a working system in weeks instead of quarters.
Structured feeds and marketplace APIs where they exist, careful scheduled collection where they do not, with retries and change detection so a layout change is noticed rather than silently returning stale numbers.
Barcode, MPN and brand plus model first, then attribute and text similarity for the rest, with a confidence score. Low-confidence matches go to a person once and are remembered afterwards.
Your rules — floor margin, MAP, position against named competitors, category exceptions — decide what counts as wrong. The system flags violations; it does not invent a pricing strategy.
A daily ranked list in Slack or email, an export into your ERP or pricing tool, and a weekly view of who moved. Prices are changed by your team, or automatically only inside limits you set.
We build in your stack rather than moving you onto ours. The list below is what this solution most often connects to — other systems are a scoping question, not a blocker.
Publicly displayed prices are generally collectable, and rules differ by country and by a site’s terms. We prefer official feeds and APIs, respect robots and rate limits, and tell you plainly which sources we consider safe to include.
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