利用 Observe.AI 提高通话评估效率和质量
技术
- 平台即服务 (PaaS) - 应用开发平台
- 传感器 - 自动驾驶传感器
适用行业
- 汽车
- 教育
适用功能
- 质量保证
用例
- 时间敏感网络
- 视觉质量检测
服务
- 测试与认证
- 培训
关于客户
该公司是一家国际性的财富 300 强汽车零售商，在美国、英国和巴西拥有并经营 186 家汽车经销店、242 家特许经营店和 49 个碰撞中心。
挑战
突然过渡到远程工作后，该公司需要使其团队能够以更少的人员评估更多的呼叫，同时保持 CX 质量。
解决方案
公司利用Observe.AI完成更多、更高质量的代理商评估；发现合规差距；并改善代理支持。
运营影响
数量效益
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相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.
