Biometric Authentication for Online Behavior History Integration
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Solution Overview
Problem
The existing systems for recommending cosmetics in real stores rely heavily on salesperson experience, leading to uncertainty about customer satisfaction and suboptimal sales performance.
Innovation Solution
An information processing apparatus and system that collects a user's online behavior history, registers it with a user ID, acquires biometric information in-store, performs biometric authentication to associate the ID, and outputs the behavior history to the store terminal, enabling personalized product recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If product recommendation relies on salesperson experience, then counseling can be provided, but recommendation accuracy and customer satisfaction cannot be ensured
Solution Approach 1:
The system collects and stores customer behavior history data (product views, purchases, browsing time) on the website before the customer visits the real store. This preliminary data collection enables the system to have customer preference information ready before the counseling session begins, eliminating the information gap that previously existed.
Solution Approach 2:
The system continuously collects customer behavior data from website interactions and feeds this information back to the store terminal. The feedback loop ensures that the recommendation system constantly updates its understanding of customer preferences based on actual browsing and purchase patterns, improving recommendation accuracy over time.
2Adaptability or versatility
If biometric authentication is implemented to link online and offline data, then personalized recommendations can be provided, but system complexity increases
Solution Approach 1:
The biometric authentication system serves multiple functions: it identifies customers, links online and offline data, and triggers personalized recommendation display. By making the authentication system multi-functional, the patent reduces the need for separate systems for each function, thereby managing complexity while achieving versatility.
Solution Approach 2:
The store terminal acts as an intermediary that receives biometric data, communicates with the server for authentication, and then displays personalized recommendations. This intermediary role simplifies the overall system architecture by centralizing the authentication and data linkage process in a single point of contact.
3Productivity
If online behavior history is collected and integrated with in-store data, then sales performance improves, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential behavior history data (product views, purchases, browsing duration) from the vast amount of online interaction data. By selecting and storing only the most relevant features, the system reduces data processing requirements while maintaining the ability to provide accurate personalized recommendations.
Data Source
AI summary
An information processing apparatus includes a collecting unit configured to collect an online behavior history on a website including a product of a user, a registration unit configured to register the behavior history in association with a user ID of the user, an acquisition unit configured to acquire biometric information of the user acquired in a real store that the user has visited from a store terminal provided in the real store, a specifying unit configured to specify the user ID of the user by controlling biometric authentication on the basis of the biometric information, and an output means configured to output the behavior history associated with the user ID to the store terminal in a case where the biometric authentication is successful.