Customer Case: AI Agent Builds Full-scenario Service Closed Loop for Jack Technology in the Trillion-level Manufacturing Track

Project Background: Core Pain Points of the Traditional Customer Service System

• Redundant after-sales manpower consumption: A large number of standardized consultations regarding equipment error reports, parameter abnormalities and basic operations consumed massive manual labor, leading to delayed responses to complex work orders.
• Fragmented online and offline services: Inquiries about equipment purchase, accessories, maintenance and dealership were scattered, making it impossible to quickly match local distributors and resulting in underutilized channel resources.
• Lack of closed-loop service and operation mechanism: Manual information collection was non-standard, causing difficulties in complaint tracing; potential business opportunities were easily missed, resulting in wasted consultation traffic.

Solution: Building Intelligent Services for Five Core Scenarios

• Intelligent equipment fault troubleshooting to reduce after-sales operation and maintenance burdens The AI Agent automatically identifies equipment models and fault codes, and pushes standardized troubleshooting solutions and video tutorials, enabling users to resolve common issues independently. For complex faults, it conducts intelligent diversion, supports one-click transfer to manual remote assistance, or recommends nearby distributors for offline services, eliminating ineffective operation and maintenance work.
• Automatic complaint work order aggregation for traceable services The AI Agent automatically collects standardized information including complaint targets, problem types, detailed descriptions and contact information without secondary manual inquiry. It generates work orders automatically, allowing customer service staff to check work order numbers and processing timeliness in real time, realizing full-process traceability.
• Intelligent mining of consultation clues to drive business growth The AI Agent accurately identifies potential customers with procurement and dealership intentions, automatically collects their demands and contact information, and generates business opportunity work orders with one click, converting scattered consultations into actionable and trackable sales leads.
• Distributor information inquiry to empower offline service networks For demands such as equipment purchase, accessory procurement, maintenance and dealership application, the AI Agent automatically matches nearby distributors based on users’ locations, accurately diverting online consultations to offline outlets and realizing online traffic empowerment for physical channels.
• Full-coverage manual backup to guarantee service quality For complex issues beyond AI processing capabilities, the system supports transfer to manual customer service with real-time queuing status display, filling the gap of AI services and ensuring full coverage of customer demands without omissions.

Implementation Results: AI Agent Empowers Service Quality and Efficiency Improvement

• Cost reduction and efficiency improvement: The AI Agent undertakes over 70% of standardized consultations, greatly reducing repetitive Q&A work and freeing up manual manpower to focus on high-value fault handling and key customer services.
• Channel activation: The intelligent location-based diversion mechanism effectively improves the order receiving efficiency and service coverage of offline distributors, strengthening global channel collaboration capabilities.
• Operational value enhancement: 100% of customer complaints are recorded and processed in a closed loop, improving customer satisfaction. Continuous precipitation of high-precision business opportunities provides stable impetus for sustained business growth.