Information Processing Apparatus for Force Majeure Absence Detection
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Solution Overview
Problem
Existing methods fail to accurately determine the reason for a user's absence from an event, leading to missed opportunities to follow up with potential customers who may still be interested despite unforeseen circumstances.
Innovation Solution
An information processing apparatus that acquires position and related information about a user at the event timing, determining if the absence is due to a force majeure reason such as health issues, traffic conditions, weather, or schedule conflicts, and selects the user as a follow-up target for targeted event notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cluster generation methods are used to extract users from attribute information and behavior history, then user segmentation is achieved, but the ability to accurately identify absentees with force majeure reasons is lost
Solution Approach 1:
The system performs preliminary actions by acquiring position information and related information (weather, traffic, news) at the event holding timing before the absence determination is made. This preliminary data collection enables accurate identification of force majeure reasons later, resolving the contradiction between measurement precision and information loss.
Solution Approach 2:
The system introduces intermediary elements (position information, weather information, traffic information, news information) that mediate between the event attendance status and the absence reason determination. These intermediaries provide the necessary context to accurately identify force majeure reasons without losing critical information.
2Productivity
If no follow-up system is implemented for absent users, then system complexity is reduced, but potential customer relationships are lost
Solution Approach 1:
The system implements self-service by automatically determining absence reasons and identifying follow-up targets without requiring manual intervention. The controller autonomously analyzes position information, compares it with event location, checks weather and traffic conditions, and selects users for follow-up, thereby improving customer retention efficiency while minimizing the increase in system complexity.
Solution Approach 2:
The system establishes a feedback mechanism where absence determination results directly trigger follow-up target selection. This feedback loop ensures that users with force majeure reasons are automatically identified and flagged for follow-up, improving productivity in customer retention while maintaining manageable system complexity through automated decision-making.
Data Source
AI summary
An information processing apparatus comprises a controller, the controller comprising at least one processor configured to perform: acquiring position information about a first user, the user having been absent from a predetermined event at an event holding timing, which is a date and time of the predetermined event having been held; acquiring first information that is information at the event holding timing different from the position information about the first user and is information related to the first user at the event holding timing; determining whether a reason for the first user having been absent from the predetermined event is a force majeure reason or not based on the position information and the first information; and selecting the first user as a follow-up target if the absence reason is determined to be a force majeure reason.