Browse Prior Art Database

Mobile Scan and Compare Application and Architecture Disclosure Number: IPCOM000242088D
Publication Date: 2015-Jun-18
Document File: 5 page(s) / 144K

Publishing Venue

The Prior Art Database


Disclosed is a mobile application that allows a shopper to use a smart phone to scan the bar codes of two items, and then provides a report comparing the items’ attributes. The application also alerts the shopper to similar items and the location of those items in the store.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

Page 01 of 5

Mobile Scan and Compare Application and Architecture

While shopping, consumers must compare items to determine which best suits the requirements. It is often difficult to discern the differences between very similar products. A system is needed to help shoppers in a physical retail store compare products.

Patents related to the technology of label scanning exist, but do not offer enough functionality. Current scan and compare applications (apps) lack the search and filter functionality of individual attributes of scanned products. These applications only look at the product as a whole and do not use the technology needed to compare and filter individual attributes.

The novel contribution is a Mobile Scan and Compare App. Using the proposed app, a shopper uses a smart phone to scan a bar code on an item. Following that input, the system recognizes/identifies the item, and then displays a list of items with similar attributes. The shopper then selects via checkbox any items for comparison to the originally scanned item. The user may also scan a second item to do a direct one-to-one comparison of the two items and associated attributes. In addition, the app provides the in-store location of all selected items.

This system comprises scan, search, database, and analytic technologies, all of which exist. Moreover, technologies exist to integrate the disparate components (e.g., wireless communication and web services).

The application can be configured to a shopper's preferences. The system presents an alert if a shopper scans an item with an unwanted attribute and flags any search results that have the unwanted attributes.

Shoppers can add parameters to the search results to identify desirable items. For example, a user can direct the app to search for similar items that have less of a specific attribute (e.g., sugar). The list of items displayed after a search can be sorted based on the specific attribute qualities, allowing the shopper to change the order of the items based on different criteria.

Shoppers can ask for recommendations after viewing a comparison of several items. The app can make suggestions based on previous queri...