system
A system with a server that collects data, trains a machine learning model, and uses natural language processing to provide efficient and accurate troubleshooting, reducing unnecessary on-site work and enhancing operational efficiency in stores.
JP2026096403APending Publication Date: 2026-06-15SOFTBANK GROUP CORP
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Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-03
- Publication Date
- 2026-06-15
AI Technical Summary
Technical Problem
Inefficient troubleshooting by inexperienced front desk staff leads to increased unnecessary on-site work and decreased work efficiency in stores, resulting in extra costs.
Method used
A system comprising a server that collects defect response data, trains a machine learning model, analyzes inquiries using natural language processing, suggests optimal countermeasures, determines the necessity of on-site work, and updates the database to improve operational efficiency.
Benefits of technology
Streamlines troubleshooting by enabling rapid and accurate defect responses, reducing unnecessary on-site visits, and continuously improving the system through user feedback.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026096403000001_ABST
Abstract
We provide the system. [Solution] A server that collects past bug fix data and trains machine learning models, A terminal device that receives inquiries from users and analyzes the characteristics of the problem using natural language processing technology, A server that matches defect patterns based on the analyzed characteristics, generates countermeasures, and presents them to the user, A server means for collecting user feedback and determining on-site work as needed, A server that records the collected results in a database and retrains the AI model, A system that includes this.
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