Label Data Sharing With Purchase Checks for Paid Print Functions
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Solution Overview
Problem
Existing systems for using label data in label printers do not effectively guide users on which paid contents or functions need to be purchased, making it difficult and cumbersome for users to determine and acquire necessary paid content or functions.
Innovation Solution
A server-based system that manages label data sharing, including a purchase information database, determines whether selected label data includes unpurchased content or functions, and proposes purchase of such items to users, facilitating seamless acquisition and use of paid content or functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If label data includes paid content or functions, then the functionality and versatility of the label data is improved, but the complexity of determining and purchasing necessary paid content increases for users
Solution Approach 1:
The server acts as an intermediary between the user and the paid content. It automatically checks purchase information, determines which paid content needs to be purchased, and proposes purchases to the user, eliminating the need for users to manually search and determine necessary paid content.
Solution Approach 2:
The system performs self-service by automatically checking purchase information and determining necessary paid content. The server autonomously identifies unpurchased content and presents purchase proposals, reducing the manual effort required from users.
2Measurement precision
If the system checks purchase information for each label data download, then the accuracy of determining unpurchased content is improved, but the processing time and system complexity increases
Solution Approach 1:
The system performs preliminary action by checking purchase information before the actual label data download. This ensures that necessary paid content is identified in advance, allowing the system to propose purchases before the download process begins, thus avoiding time-consuming checks during or after download.
Solution Approach 2:
The server uses feedback from the purchase information database to determine which paid content needs to be purchased. By continuously referencing the database status, the system accurately identifies unpurchased content without requiring redundant or time-consuming verification processes.
3Loss of information
If the server provides detailed information about paid content and functions, then the user's ability to make informed purchase decisions is improved, but the amount of information processing and display complexity increases
Solution Approach 1:
The server extracts and presents only the essential information about unpurchased paid content that is directly relevant to the current label data download. This selective information extraction provides sufficient details for informed purchase decisions while avoiding the complexity of processing and displaying all available information.
Solution Approach 2:
The system applies local quality by providing detailed purchase information only for the specific paid content that is unpurchased and relevant to the current operation. This targeted approach ensures information completeness for critical decisions while reducing overall information processing complexity.
Data Source
AI summary
A non-transitory computer readable storage medium stores a program configured to be executed by a server. The server is configured to store label data. The label data is configured to be printed by a label printer. The label data is configured to include a setting of a paid content or paid function. The server being configured to access a purchase information database. The purchase information database storing purchase information indicating whether a paid content and function have been purchased for each user ID.