Sensor-Based Item Pricing for Lowest-Price Auto Checkout
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Solution Overview
Problem
Existing inventory management systems struggle to accurately determine the lowest price of items during a shopping experience, especially when prices change between the time of selection and payment, leading to potential overcharging.
Innovation Solution
A system that utilizes sensor data from various sensors, including cameras and weight sensors, to track user interactions within a materials handling facility, update virtual shopping carts, and charge users for the lowest price of items during a defined time range, using machine learning and human confirmation to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional inventory management systems are used to track item prices, then the system structure remains simple, but the accuracy of determining the lowest price during shopping experience deteriorates
Solution Approach 1:
The patent combines multiple sensors (cameras, weight sensors, RFID readers) with the inventory management system to create an integrated monitoring system. This merging of components enables accurate tracking of item prices and user interactions throughout the shopping experience, resolving the contradiction between measurement precision and device complexity by showing that the added complexity is justified by the significant improvement in price tracking accuracy.
Solution Approach 2:
The patent introduces sensors as intermediary devices between the items and the inventory management system. These sensors automatically detect and report price changes and user interactions, acting as mediators that bridge the gap between physical items and the digital tracking system, thereby improving measurement precision without requiring direct complex integration between all system components.
2Reliability
If manual price verification methods are used, then the system complexity remains low, but the reliability of charging users the correct lowest price deteriorates
Solution Approach 1:
The system enables self-service price verification through automated sensors that continuously monitor item prices and user interactions. The sensors automatically detect when items are placed in carts, track price changes, and ensure correct pricing without requiring manual verification by staff, thereby improving reliability while managing complexity through automation.
Solution Approach 2:
The patent implements feedback loops where sensors continuously monitor price changes and user actions, and this information is fed back to the inventory management system in real-time. This feedback mechanism ensures that the system always has current pricing information, improving the reliability of charging users the correct lowest price while using automated processes to manage the complexity of continuous verification.
3Measurement precision
If automated sensor systems are deployed to track user interactions, then the measurement accuracy of shopping behavior improves, but the device complexity increases
Solution Approach 1:
The patent divides the monitoring system into multiple independent sensor units distributed throughout the facility, each responsible for detecting specific events (item pickup, price changes, cart placement) in their local zones. This segmentation allows the system to achieve high measurement precision for user interactions while managing complexity by distributing functionality across multiple simple, modular sensor units rather than one complex centralized system.
Data Source
AI summary
This disclosure describes techniques for determining an appropriate cost to charge a user for an item in an environment that relies on sensor data rather than traditional checkout methods. For instance, a physical store may include a weight sensor on a shelf to identify a customer picking an item from the shelf Upon the user picking the item, the techniques may determine a first cost of the item. When a camera is used to observe the user exiting the store, triggering automatic payment for the item, the techniques may determine whether the price of the item has changed. If so, then the techniques may charge the user for the lesser of the two prices.