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Amazon Web Services Marketplace China: AI Repair Assistant
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    AI Repair Assistant

     
    Sold by: Tianji 
    The AI intelligent maintenance assistant targets engineering equipment rental and maintenance scenarios. Based on enterprise maintenance manuals, technical documents and historical cases, it provides field engineers with text, voice and graphic maintenance assistance in Chinese, English, Arabic, Urdu and Hindi. The system supports fault questioning, multiple rounds of context, image and video data retrieval, troubleshooting step guidance, and maintenance feedback precipitation to help improve on-site troubleshooting efficiency and reduce unnecessary spare parts replacement and equipment transportation costs

    Overview

    The AI intelligent maintenance assistant is a multi-language, multi-modal knowledge assistant for engineering equipment maintenance scenarios. It is suitable for overseas equipment leasing, on-site maintenance, and technical support teams. The system is based on enterprise maintenance manuals, technical documents, knowledge base data and historical maintenance cases to provide engineers with fault questioning, maintenance step guidance, fault diagnosis assistance, and knowledge retrieval services. The current MVP version supports Chinese, English, Arabic, Urdu, and Hindi, can be interacted with text and voice, and supports uploading images or videos to help identify faults, retrieve relevant maintenance data, and locate video guidance clips. The system supports multiple rounds of dialogue and context correlation, and can gradually reduce the scope of faults by combining device models, fault codes, fault phenomena, and completed troubleshooting steps. It also supports maintenance feedback, on-site picture or video data collection, and maintenance case settlement to help enterprises continuously improve the maintenance knowledge base. The current pilot scope includes device models such as the Genie Z45, Genie S65/85, and JLG660. The system can provide web access and provide WebView embedding solutions and API interface documents according to the project configuration. AI output is a maintenance aid recommendation and does not replace the enterprise maintenance system, equipment manufacturer technical requirements, or professional maintenance personnel judgment. Operations involving personal safety, equipment safety and critical maintenance findings shall be reviewed by qualified professionals based on confirmed maintenance data.

    Highlights

    • Multi-language, multi-modal maintenance interaction It supports Chinese, English, Arabic, Urdu, and Hindi, and can describe on-site problems through text, voice, pictures and videos, and adapt to overseas on-site maintenance environments.
    • Maintenance Q&A based on enterprise knowledge base Integrate maintenance manuals, technical documents, knowledge base data and historical maintenance cases to provide fault questions, maintenance procedures and technical data retrieval from locatable sources
    • Contextual diagnosis and maintenance experience accumulation It supports multiple rounds of dialogue, fault reduction, video clip positioning, maintenance feedback, and field case collection to help enterprises continue to accumulate and optimize maintenance knowledge.

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    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. Amazon Web Services Marketplace China does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    Product support email: repairassistant@tianjichat.com  The scope of support includes account and access, use of product functions, knowledge base data import, interface integration, and system troubleshooting. When submitting a support request, please include account or tenant information, device model, description of the issue, time of occurrence, and relevant screenshots, images, or logs (if applicable). Operations involving equipment maintenance and personal safety shall be carried out by qualified professionals after reviewing maintenance data confirmed by Party A.