CartLens

The receipt side is harder than it looks and I think it's the real moat here if you get it right. Retailers truncate line items to short abbreviations, so OCR accuracy is rarely the bottleneck, resolving something like GV WHT BRD 20OZ to an actual product is. Worth knowing whether you're doing that per retailer with learned abbreviation maps or trying to stay generic, because the generic version tends to fall apart on store brands. The other thing I'd flag is that the same chain often prices differently by store format and region, so a crowdsourced average can tell someone they overpaid when they paid their own store's normal shelf price. Scoping the comparison to nearby stores of a similar format would make the did I overpay answer much more defensible.

Cartlens' vision is to become the world's most trusted retail price intelligence platform, helping millions of consumers make smarter purchasing decisions while creating the largest community-driven database of physical retail prices.

Nice idea to check small things that are very important

Scanning receipts and shelf tags to answer "did I overpay?" is a tighter cut than another coupon app. If you ever need AI for the business, PZERO is at pzero.studio