Store System Error Correction via Monitoring Terminal
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Solution Overview
Problem
In current store systems, errors in data input via mobile terminals often lead to discarded data, resulting in unnecessary server processing loads, as incorrect data must be re-entered by store clerks, wasting server resources and increasing processing time.
Innovation Solution
A store system that includes a server with a receiving, storing, and correcting unit, and a terminal with an acquiring and correction instructing unit, allowing for error correction without discarding data, thereby reducing server processing loads and improving operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data input via mobile terminal is discarded when errors are detected, then data accuracy is improved, but server processing load increases and productivity decreases
Solution Approach 1:
The system performs preliminary validation and error detection at the terminal device before data is submitted to the server. By identifying and correcting errors in advance at the source (mobile terminal or monitoring terminal), the system prevents erroneous data from reaching the server, thereby maintaining data accuracy while avoiding unnecessary server processing loads and re-entry work.
2Measurement precision
If data is re-entered by store clerks after being discarded, then data accuracy is improved, but loss of time increases and productivity decreases
Solution Approach 1:
The monitoring terminal acts as an intermediary between the mobile terminal and the server. It receives data from the mobile terminal, performs validation and error detection, and either forwards corrected data to the server or requests re-input from the mobile terminal. This intermediary function eliminates the need for complete data re-entry by store clerks, as errors are caught and corrected at the terminal level before server processing.
3Reliability
If server processes discarded data, then data validation is improved, but use of energy increases and server load increases
Solution Approach 1:
The data validation and error detection process is segmented into two levels: terminal-level validation (performed by mobile terminal or monitoring terminal) and server-level validation. By handling obvious errors at the terminal level through local checking and correction, the system segments the validation workload, preventing obviously erroneous data from consuming server processing energy and resources.
Data Source
AI summary
A store system includes a server and a store terminal. The server receives data based on purchased commodities respectively input in a plurality of mobile terminals. The server stores the received data based on the purchased commodities. The store terminal acquires, from the stored data, the data based on the purchased commodity input in any one of the mobile terminals. The store terminal instructs correction of the acquired data. The server executes the instructed correction concerning the stored data.