Automobile after-sale intelligent enabling system and method

By optimizing case matching and knowledge sharing through an intelligent empowerment system, the problems of incomplete coverage of fault case database and reduced reliance on maintenance technicians in existing technologies have been solved, achieving efficient collaboration and knowledge sharing, and improving maintenance efficiency and customer satisfaction.

CN122175589APending Publication Date: 2026-06-09CHERY COMMERCIAL VEHICLE (ANHUI) CO LTD
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Patent Information

Application Number
CN202511691030.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-18
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In existing automotive after-sales repair systems, the fault case database is not comprehensive, making it difficult to cope with the diverse faults in the market. This leads to a decrease in the reliance on repair technicians, insufficient support for complex faults, and a lack of knowledge sharing mechanisms, resulting in low repair efficiency and declining customer satisfaction.

Method used

This invention provides an intelligent empowerment system for automotive after-sales service, including modules for case collection, review, knowledge sharing, intelligent recommendation, mutual assistance and communication, and back-end data analysis. It calculates recommendation weights based on user profiles, case quality, and interaction data, optimizes case matching, builds an efficient collaboration and knowledge sharing mechanism, generates structured technical intelligence, and distributes it to relevant business systems.

Benefits of technology

It enables efficient collaboration and knowledge sharing among maintenance technicians, improves diagnostic accuracy and maintenance efficiency, optimizes case matching accuracy, enhances the system's intelligence level, supports warranty management, spare parts planning and training management, and improves customer satisfaction.

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Abstract

The invention discloses an automobile after-sales intelligent enabling system and an implementation method thereof. The system comprises a case acquisition module, a case auditing module, a knowledge sharing module, an intelligent recommendation module, a mutual assistance communication module, a background data analysis module and a business enabling module. A dealer maintainer can submit standardized fault cases to the platform, a case database is formed after auditing, the system calculates recommendation weights based on user portraits, case quality and interactive data, and personalized distribution and accurate matching of the cases are achieved. And the user can browse cases, ask for help and interact and learn in the platform to form a technical mutual-aid community. And the background data analysis module carries out structured extraction on the gathered cases and interaction information, generates standardized technical information, pushes the standardized technical information to business systems such as technical support, warranty management, spare part planning and training management, constructs a bidirectional enabling mechanism between a main engine plant and a dealer, and realizes closed-loop management from fault cases to business optimization.
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