AI + Manufacturing Full-Scenario Agent Suite

Plug-and-Play AI Agents Covering the Full Chain from R&D to After-Sales

Functional Overview

Based on multi-agent collaboration and H+A task planning technology, we provide plug-and-play AI agents for various business links in manufacturing enterprises. These include intelligent material selection assistant (Yan Shifu), R&D test case generation assistant, after-sales intelligent diagnosis assistant, cockpit data report generation assistant, APP intelligent interaction assistant, and vehicle unmanned weighing management assistant. It supports private deployment and seamless integration with existing enterprise systems (PLM/ERP/MES).

Customer Pain Points

  • Material selection relies on expert experience, with low efficiency and high error rates, leading to extended R&D cycles.
  • Test case writing is manual, coverage is insufficient, and regression testing is time-consuming.
  • After-sales troubleshooting relies on paper/electronic materials, with slow response and poor experience.
  • Cockpit data collection and processing have high manual costs, and dataset quality restricts AI training effectiveness.
  • Vehicle weighing has cheating risks, and quality inspection samples are not traceable.

Solution Advantages

  • Heterogeneous data query and document interpretation: supports unified retrieval and semantic understanding of multi-source heterogeneous data such as drawings, specifications, historical BOMs, and maintenance manuals.
  • Multi-agent collaboration: agents for task planning, code generation, knowledge retrieval, and data fusion collaborate to complete complex workflows.
  • Full-process closed loop: from requirement analysis → intelligent selection → BOM generation, or from work order → troubleshooting → solution recommendation, achieving end-to-end automation.
  • Visual dashboard and early warning: the vehicle weighing scenario provides panoramic data display, intelligent early warning, and remote dispatching to curb cheating at the source.
  • Fast deployment and low-cost integration: provides standardized APIs and low-code configuration tools, enabling an agent to go live in 2–4 weeks.

Architecture Diagram

Architecture Diagram