Operation work order generation method for unmanned retail terminal
By using neural network technology in unmanned retail terminal systems to combine consumer and environmental data, operation work orders are generated in real time, which solves the problem of inefficient operation work order generation in the existing system and improves operation efficiency and customer experience.
Patent Information
- Application Number
- CN202411721825.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-28
- Publication Date
- 2025-03-18
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing unmanned retail terminal systems have problems such as inefficiency, data isolation and lack of real-time feedback in operational work order generation, data analysis and customer service, resulting in poor operational efficiency and customer experience.
By pre-stored historical operation work orders in the operation work order generation server, combining the consumption data and environmental data of the region, using neural network technology for in-depth analysis, real-time generation of operation work orders for specific regions, and optimizing inventory management and equipment maintenance.
Real-time generation and optimization of operational work orders has been achieved, operational efficiency and resource utilization have been improved, real-time response capabilities to market demand have been enhanced, and customer experience and overall profitability have been improved.