Developer Builds AI Receipt Scanner to Expose Local Price Gaps in Physical Stores

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A developer has created CartLens, an AI-powered receipt scanning app designed to address the lack of price transparency in physical retail stores. The tool scans receipts and price tags, identifies purchased products and their prices, then compares them against nearby store observations to help shoppers determine if they overpaid. Unlike online price-tracking tools, CartLens targets what the developer calls 'market darkness' — the inability of in-store shoppers to see surrounding local market prices. Aggregated and anonymised receipt data forms a local price map based on completed real-world transactions, which the developer argues is more reliable than listed shelf or online prices. The broader goal of CartLens is to convert everyday shopping activity into privacy-conscious, actionable price intelligence for local consumers.

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