CORE FEATURES

     In the current service management era, technology has become a key factor in driving the quality and efficiency of the organization, especially in businesses with a large number of field teams, such as cleaning work. Controlling the quality of work, tracking results, and communicating accurately every day is not easy if you still use traditional management methods that rely on recording, forwarding information via documents, or reporting results late. eS/Clean was therefore developed to be a system that systematically addresses the management of all service work, from work planning, communicating with field teams, to analyzing data for accurate and sustainable decision-making.

     This platform is designed with the context of users who need a flexible, easy-to-use system that can be adjusted to suit the different types of work in each organization. eS/Clean is not just a tool for recording work or issuing work orders, but a system that integrates all service management processes in one place, allowing executives to track the situation in real time, while team leaders or field staff can receive work, report results, and report problems from mobile devices, reducing delays in coordination and reducing errors from unclear communication. This system can also automatically summarize work results, making each round of work quality assessment clear, with data that can be traced back, and used to plan for improving future work quality.

     What makes eS/Clean different is its focus on “data” and “user experience” at the same time. The system therefore emphasizes a simple yet powerful design, enabling both administrators and operators to use the system without complicated training. It also supports full efficiency on both computers and mobile phones. The system’s main features cover all important aspects of service work, including setting work schedules, checking the readiness of each area, measuring team performance, and generating accurate reports that are ready for immediate use. You can therefore change the service management model from a system that relies on feelings and experience to a system driven by real data, creating service standards that can be verified, measured, and continuously developed in the long run.