method
The use of a Large Language Model to extract and store customer attributes from dialogue data in vehicle dealerships addresses the inefficiencies of traditional methods, improving accuracy and reducing staff workload.
JP2026109984APending Publication Date: 2026-07-02TOYOTA JIDOSHA KK
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- TOYOTA JIDOSHA KK
- Filing Date
- 2024-12-20
- Publication Date
- 2026-07-02
AI Technical Summary
Technical Problem
Existing methods for grasping customer attributes in vehicle dealerships, such as questionnaires and conversation inference, suffer from low response rates and inaccuracies due to staff errors, imposing a significant workload.
Method used
A method utilizing a Large Language Model (LLM) to automatically extract and store customer attribute information from dialogue data during business negotiations, reducing the need for manual work and improving accuracy.
Benefits of technology
Automatically extracting customer attributes from dialogue data enhances the efficiency and accuracy of understanding customer preferences, reducing the workload on staff.
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Smart Images
Figure 2026109984000001_ABST
Abstract
To improve techniques for analyzing conversations. [Solution] A method executed by the information processing device 10, which includes acquiring dialogue data between staff and customers during business negotiations, extracting customer attribute information from the dialogue data using LLM, and storing the extracted attribute information in association with the customer.
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