# How Apps Compare Local Prices and Ratings for Specific Items > A system that helps users find and order a specific product from nearby stores by ranking them based on price, ratings, and item attributes like calorie count. - **Patent:** US 10127595 - **Original title:** Categorization of items based on attributes - **Owner:** Square Inc - **Granted:** 2018 - **Status:** Active - **Times cited:** 20 - **Field:** consumer_electronics, software, ecommerce ## What it does This patent describes a service that acts as a middleman between a mobile user and local merchants. When you search for a specific item, the service uses your phone's location to find nearby stores that stock it. It then pulls real-time data from those stores, such as current prices, customer ratings, or specific product details like calorie counts. Finally, it calculates a value score for each store and presents a ranked list so you can choose the best option and place your order directly through the app. ## What it does NOT cover - Does not cover general search engines that provide links to external websites without facilitating the order directly. - Does not cover systems that rely solely on static, pre-loaded databases without real-time integration with point-of-sale devices. - Does not cover ranking methods that ignore geographical proximity as a primary filter for merchant selection. - Does not cover peer-to-peer marketplaces where individuals, rather than established merchants, sell items. ## The clever bit The system doesn't just compare stores; it normalizes data across different merchants to rank specific items, allowing a user to compare a 'cheeseburger' at two different restaurants by factoring in both price and secondary attributes like calorie count. ## Real-world examples 1. Food delivery apps showing ranked restaurant options 2. Local inventory search features in retail apps 3. Mobile ordering platforms for coffee shops or cafes ## Why it matters This technology is central to the modern on-demand economy, where consumers expect to compare local inventory instantly. It bridges the gap between digital discovery and physical retail, allowing platforms like Square to integrate payment processing directly into the ordering experience. It effectively turns a local merchant's point-of-sale system into a dynamic, internet-connected storefront. ## Frequently asked questions ### What does How Apps Compare Local Prices and Ratings for Specific Items cover? A system that helps users find and order a specific product from nearby stores by ranking them based on price, ratings, and item attributes like calorie count. ### Who owns patent US 10127595? Square Inc owns this patent, granted in 2018. ### When does this patent expire? This patent is expected to expire on November 13, 2038, when the invention enters the public domain. ### What is patent US 10127595 cited by? This patent has been cited by 20 later patents that build on its ideas. ### What problem does this patent solve? This technology is central to the modern on-demand economy, where consumers expect to compare local inventory instantly. It bridges the gap between digital discovery and physical retail, allowing platforms like Square to integrate payment processing directly into the ordering experience. It effectively turns a local merchant's point-of-sale system into a dynamic, internet-connected storefront. ### What does this patent NOT cover? Does not cover general search engines that provide links to external websites without facilitating the order directly. **Full plain-English explainer:** https://patentbrief.org/patent/us/10127595/airbnb-dynamic-pricing-smart-pricing **Original patent:** https://patents.google.com/patent/US10127595 --- _Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._ ## Related patents Semantically similar inventions in the PatentBrief corpus: - [How Smartphones Suggest Apps Based on Where You Are](https://patentbrief.org/patent/us/10002199/uber-driver-incentives) — Apple's patent for a system that automatically highlights or suggests mobile apps based on your current location or a location you are planning to visit. - [How eBay Uses Image Fingerprints to Search for Products](https://patentbrief.org/patent/us/8825660/sql-server) — A system that lets you search for items on a marketplace by uploading a photo instead of typing text, using image 'fingerprints' to find matching products. - [Smart Ranking of Emails and Files Based on How You Click](https://patentbrief.org/patent/us/6370526/google-adwords-pay-per-click) — IBM's 1999 patent on automatically sorting lists of items, like emails, by watching which ones you click first and updating a mathematical model of your preferences in the background. - [Tracking Shoppers and Store Items for Better Recommendations](https://patentbrief.org/patent/us/11900293/merchant-action-recommendation-system) — This patent describes a system that tracks the location of physical customers, virtual customers, and store items using beacons to generate a combined visual report and recommend actions for merchants. - [Square's System for Predicting Orders and Guiding Couriers](https://patentbrief.org/patent/us/10133995/airbnb-host-guest-messaging) — This 2018 patent from Square describes a system that predicts which restaurants will get orders and tells delivery drivers where to wait to be ready.