Threshold-Based Item Sensing for Checkout-Free Purchase Tracking
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Solution Overview
Problem
Ambient processing systems face challenges such as customers inadvertently walking out with unpurchased goods due to the lack of a traditional checkout process, making it difficult to track purchases and ensuring sufficient resources for transactions.
Innovation Solution
A computer-implemented method that detects engagement with items using sensors, obtains value parameters, retrieves thresholds, and selectively triggers notifications or alternative options based on threshold evaluations to prevent unauthorized purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ambient processing systems are deployed to allow customers to skip traditional checkout, then checkout speed is improved, but customers may inadvertently walk out with unpurchased goods
Solution Approach 1:
The system continuously monitors customer engagement with items using sensors and provides real-time feedback through notifications when threshold conditions are met (e.g., when a customer engages with high-value items or exceeds spending thresholds). This feedback loop ensures customers are aware of their purchases without requiring traditional checkout, resolving the contradiction between fast checkout and accurate purchase tracking.
Solution Approach 2:
The system performs preliminary actions by detecting item engagement and evaluating threshold conditions before the customer completes the purchase. Notifications are triggered in advance to alert customers about their purchases or insufficient funds, preventing inadvertent walk-outs with unpurchased goods while maintaining the ambient processing workflow.
2Device complexity
If traditional checkout process is eliminated, then human resource requirements are reduced, but customers find it difficult to track purchases
Solution Approach 1:
The system enables self-service by automatically detecting customer engagement with items and providing purchase information through notifications. Customers receive real-time updates about their purchases and spending status without requiring cashier intervention, thus reducing human resource requirements while maintaining purchase tracking capability.
Solution Approach 2:
The system compensates for the eliminated traditional checkout by implementing continuous feedback through notifications that inform customers about their purchases, spending thresholds, and account status. This feedback mechanism replaces the information function previously provided by cashiers and receipt printing.
3Reliability
If ambient processing is used, then theft possibility is reduced, but customers may lack awareness of sufficient resources for transactions
Solution Approach 1:
The system addresses both issues by implementing real-time feedback through notifications that inform customers about their resource status (e.g., insufficient funds, credit limits) when threshold conditions are met. This ensures customers have awareness of their resource sufficiency while the system maintains theft prevention through continuous monitoring of item engagement and purchase tracking.
Data Source
AI summary
According to an aspect there is provided a computer-implemented method. The method may include: detecting, based on an output of a sensor, engagement with an item during a session at a physical location; obtaining a value parameter for the item; retrieving a threshold from stored threshold definition data; evaluating the value parameter using the retrieved threshold; and based on a result of the evaluation, selectively triggering a notification at a device associated with the threshold definition data.