Your specs, stated correctly, everywhere they appear.
You publish the truth about your products once. Then it gets retyped by a distributor, abbreviated by a reseller, and mangled by a marketplace. Catalog AI shows you where your data has drifted and what your products are actually selling for.
Sound familiar
Three things we hear every time.
- 01Resellers publish specifications that do not match the datasheet.
- 02Nobody can say what the street price of a given SKU is this week.
- 03Product data lives in a spreadsheet that three departments each keep a different copy of.
The agents that matter most here
All six are available on every account. These are the ones this kind of catalog leans on.
How it runs here
- STEP 1
Load the authoritative record
Import your product data by CSV or API. This is the version everything else gets measured against.
- STEP 2
Find where it has drifted
Validation re-checks each attribute against live sources and returns a confidence score with the reasoning and the page it read.
- STEP 3
Watch the market
Market Analysis reports which retailers list your products, at what price, against what MSRP, and whether they are in stock.
- STEP 4
Correct at the source
Export the exception list and send it to the channel partners who need it.
Questions from this side
Does this do MAP enforcement?
How current is the pricing data?
Can we run this on a schedule?
Test it on the part of the catalog that hurts.
Free credits on signup, no card. If it does not hold up on your worst products, you have lost an afternoon.
5 credits on signup · no card required