Algorithmic Shopping Cart Verification via Machine Learning
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Solution Overview
Problem
Traditional shopping sessions in physical stores are inefficient due to long wait times for customers and idle time for cashiers, especially during non-peak hours, and lack of automation in processing transactions.
Innovation Solution
A system and method that generates a virtual store to emulate a physical store, using camera feeds to track customer shopping sessions and create a virtual shopping cart, allowing for automated transaction processing and verification of items selected, reducing the need for manual cashier intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional cashiers manually process transactions, then customers receive personal service, but customers experience long wait times during busy periods
Solution Approach 1:
The system enables self-service by using cameras and machine learning algorithms to automatically track customers, identify selected items, and generate transactions without manual cashier intervention. The virtual shopping cart autonomously monitors customer behavior and processes payments, eliminating the need for customers to wait in line while maintaining service quality.
Solution Approach 2:
The patent replaces the mechanical system of manual cashiers with an automated computer vision system. Cameras capture customer actions, machine learning algorithms process the visual data to identify item selections, and the system automatically generates transactions, substituting human labor with automated technological processes.
2Reliability
If cashiers are present during non-peak hours, then customers can receive service when needed, but cashiers spend significant time idle
Solution Approach 1:
The automated system provides continuous service availability without requiring human cashiers to be present. The camera-based tracking and machine learning algorithms operate autonomously during non-peak hours, monitoring customers and processing transactions, thereby maintaining service reliability while eliminating cashier idle time.
Solution Approach 2:
The system extracts the transaction processing function from human cashiers and assigns it to an automated system. This separation allows cashiers to be removed from non-peak hours entirely, as the automated system independently handles customer transactions, improving both service availability and cashier productivity.
3Extent of automation
If machine learning algorithms automatically determine customer purchases, then transaction processing is automated, but verification of algorithm accuracy is needed
Solution Approach 1:
The system implements feedback mechanisms where transaction data from the automated machine learning process is continuously verified and used to retrain and improve the algorithms. This closed-loop feedback ensures high measurement precision by constantly validating algorithm accuracy against actual customer behavior patterns.
Solution Approach 2:
The patent introduces an intermediary verification layer that acts as a mediator between the automated algorithm and the final transaction. This intermediary system validates algorithm predictions before processing, ensuring accuracy while maintaining the overall automation of transaction processing.
Data Source
AI summary
An apparatus includes a memory and a processor. The memory stores a set of inputs, an algorithmic shopping cart, and a machine learning algorithm. The set of inputs includes information collected from sensors located in a physical store during a shopping session of a person. The algorithmic shopping cart includes items determined by an algorithm, based on the set of inputs, to have been selected during the shopping session. The machine learning algorithm is configured to use the set of inputs to select between using the algorithmic shopping cart and using a virtual shopping cart to process a transaction associated with the shopping session. The processor uses the machine learning algorithm to determine, based on the set of inputs, to use the algorithmic shopping cart to process the transaction.