Information Processing System for Omnichannel User Behavior Association
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Solution Overview
Problem
Current technologies fail to effectively integrate online and offline customer interactions to enhance customer experience in Omnichannel Marketing Operations (OMO), lacking a seamless association of user behaviors across digital and physical spaces.
Innovation Solution
An information processing system that combines online and offline user data by using sensors like 3D LiDAR and face authentication devices to track user behavior in real spaces, associating digital and offline IDs, and executing personalized processing based on predefined conditions to improve user experience through targeted offers and promotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If online and offline user data are integrated using sensors and behavior detection, then customer experience is enhanced, but system complexity increases
Solution Approach 1:
The system segments user data into online information (from communication networks) and offline behavior information (from sensor data), processing and associating them through distinct functional units. This segmentation allows the system to handle complex multi-channel data without overwhelming complexity in any single component.
Solution Approach 2:
The patent implements a nested structure where the information processing system contains multiple functional units (behavior detection unit, association unit, user processing unit) that are further nested with specific modules (detection module, association module, execution module). This nested organization manages system complexity through hierarchical structuring.
2Ease of operation
If user behavior is tracked across multiple channels using sensors, then personalized offers can be provided, but information processing requirements increase
Solution Approach 1:
The system extracts only the necessary behavior information from sensor data that is relevant for personalization, rather than processing all raw sensor data. The behavior detection unit selectively detects and extracts meaningful user actions, reducing information processing load while maintaining personalized service capability.
Solution Approach 2:
The system performs preliminary association between online user information and offline behavior information before executing personalized offers. The association unit pre-processes and links user identities across channels in advance, reducing the information processing burden during actual offer delivery.
3Productivity
If real-time behavior detection is implemented, then timely offers can be executed, but response time requirements increase
Solution Approach 1:
The system performs preliminary detection and association of user behavior information before offer execution is needed. By pre-processing behavior detection and user association in advance, the system minimizes response time when actual offer delivery is required, maintaining high productivity without excessive real-time processing demands.
Solution Approach 2:
The system implements self-service mechanisms where the behavior detection unit automatically detects user actions and the association unit automatically links them to user profiles without manual intervention. This automated self-service approach reduces processing delays and improves offer execution efficiency.
Data Source
AI summary
A server stores online information related to a user and transmitted and received via a communication network. The server detects a behavior of a user who came to an event venue based on data output from a sensor (for example, 3D LiDAR) installed in the event venue. The server associates the user who came to the event venue with a user whose online information is stored, based on data obtained from the behavior of the user who came to the event venue. The server executes predetermined processing with respect to the user in a case where at least one of behavior information and the online information of the user who came to the event venue satisfies a predetermined condition.