Point-of-Recognition Optimizer for Retail Checkout Automation
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Solution Overview
Problem
Physical stores face competition from online retailers like Amazon and struggle with manual, time-consuming checkout processes that detract from the shopping experience, while lacking direct access to consumer data for targeted advertising.
Innovation Solution
The point-of-recognition optimizer system uses processors and computer memories to identify purchasable units with unique IDs, allowing consumers to use their own devices to recognize products, receive offers, and facilitate streamlined purchases by competing distributors based on user-centric information profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual checkout procedures are used with store clerks scanning UPC barcodes, then purchase transactions can be finalized, but the process is time-consuming and detracts from the shopping experience
Solution Approach 1:
The system enables self-service checkout by allowing consumers to use their own mobile devices to scan product identifiers, receive offers, and complete purchases without store clerk assistance. The consumer autonomously performs all checkout functions through the mobile device interface.
Solution Approach 2:
The patent replaces the mechanical scanning system (UPC barcodes and scanners) with an optical recognition system using mobile device cameras and image processing algorithms to identify products and retrieve purchase information.
2Loss of information
If physical stores compete with online retailers by implementing traditional systems, then they can process sales, but they lack direct access to consumer data for targeted advertising
Solution Approach 1:
The mobile device serves as an intermediary between the consumer and the store's payment system. It captures consumer data through the purchase process, enables targeted advertising delivery, and facilitates payment all in one device, simplifying the overall system architecture.
Solution Approach 2:
The mobile device performs multiple functions: product identification via camera scanning, receiving and displaying targeted offers, storing consumer profile information, and processing payments. This consolidates what would otherwise require separate systems into a single universal device.
3Productivity
If traditional point-of-sale systems are used, then purchases can be processed, but the capital intensity of checkout processes is high
Solution Approach 1:
The system shifts the functional burden from store infrastructure to consumer mobile devices. Consumers use their own devices for product identification, offer reception, and payment processing, eliminating the need for expensive store-deployed scanning and display hardware at each checkout point.
Solution Approach 2:
Instead of deploying proprietary hardware, the store leverages the existing mobile devices already owned by consumers. The system copies the necessary functionality (camera, display, processor) from consumer devices rather than requiring duplicate infrastructure in the store.
Data Source
AI summary
Systems and methods are described for a point-of-recognition optimizer system configured to optimize onsite user purchases at a physical location. In various aspects, a purchasable-unit identifier (ID) may be received via a computer transmission, where the purchasable-unit ID, as identified by an optimizer device, is associated with a recognized purchasable-unit located onsite with the optimizer device. Based on the purchasable-unit ID, a plurality of competing purchasable-units may be identified, which may be either onsite or offsite purchasable-units. An offer is transmitted via a second computer transmission for an offered purchasable-unit to the optimizer device where the offer originates from an outbidding purchasable-unit distributor, and where the outbidding purchasable-unit distributor outbid other competing purchasable-unit distributors, each distributor corresponding to the plurality of competing purchasable-units, for an opportunity for the optimizer device to receive the offer.