Dynamic Charge Assignment in Unmanned Payment Systems
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Solution Overview
Problem
In unmanned payment stores, there is a challenge in accurately charging the correct user when the user who orders a service is different from the user who receives the final product of that service, requiring a system that can dynamically assign the charge to the appropriate user.
Innovation Solution
An information processing system that includes a processor to calculate charges for services and, upon approval from both users, allows the user to be charged to be changed from the service orderer to the service receiver, utilizing cameras and sensors to monitor and track user interactions and services within the store.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system automatically charges the user who orders execution of the service, then the charging process is simple and automated, but it cannot accurately charge the user who receives the final product when the orderer and receiver are different people
Solution Approach 1:
The system dynamically determines which user should be charged based on real-time identification of the user who receives the final product. The charging target is not fixed to the orderer but can change to the receiver when they are different, allowing the system to adapt to various usage scenarios automatically
Solution Approach 2:
The system uses cameras and sensors to detect and identify users in the store, providing feedback about which user actually receives the final product. This feedback mechanism allows the system to adjust the charging target from the orderer to the receiver when necessary, ensuring accurate charging without manual intervention
2Measurement precision
If the system allows manual specification of the user to be charged, then charging accuracy can be improved, but the operation becomes more complex and time-consuming
Solution Approach 1:
The system performs automatic user identification and charging target determination using cameras and sensors without requiring manual specification. Users are automatically identified when they use the service or receive the final product, and the system self-determines who should be charged based on pre-set rules, eliminating the need for manual intervention while maintaining accuracy
3Extent of automation
If the system uses automatic user identification to determine charging target, then the charging process becomes more automated, but it may not accommodate cases where the orderer and receiver are different users
Solution Approach 1:
The system is designed to handle multiple user scenarios universally - whether the orderer and receiver are the same person or different people, whether payment is made at the time of service or later. The automatic identification system combined with flexible charging rules allows the same system to accommodate all these scenarios without requiring separate mechanisms for each case
Data Source
AI summary
An information processing system includes a processor configured to: calculate a charge for an exchange of a final product of a service; and when a first user who orders execution of the service is different from a second user who receives the final product of the service, upon approval of both the first user and the second user, change a user to be charged of the charge for the exchange of the final product of the service from the first user to the second user.