weReport

weReport supports service technicians in the systematic recording of service reports during and after successful completion of customer service work. The module documents detected machine malfunctions as well as work performed and evaluates the relevant information at a later date. As web-based software, access via tablet is independent of the operating system used. Modern browser technology allows reports to be recorded offline and made available online at a later date.

In addition, the module makes it possible to record not only documentation but also working times and the materials used. The service technicians are supported by a standardized keyword system, which can be extended by their own entries if required. weReport automatically generates a service report from the logged data, which can be signed by the customer directly on the tablet. In order to optimize further business processes, weReport can be connected to the company’s own ERP system. In this way, the documented information can be used even more easily and seamlessly for other processes, such as billing.

The weReport functions thus offer increases in efficiency on many levels of service work. The standardized and simplified input of the relevant data not only reduces the documentation effort of the service technician, but also allows the information to be evaluated later. Statistical comparisons can be used, for example, to identify weak component groups or particularly susceptible machine types over a selected period of time. For this reason, the data usage options are individually coordinated with each machine manufacturer and user and adapted to the specific requirements.

Five arguments for weReport

- Service work is efficiently documented by a web-based application

- Operating system independence allows easy documentation of troubleshooting and work performed

- Standardized keyword system with automatic service report generation leads to time and cost savings

- Easy connection to the company’s own ERP system

- Stored data for extensive analysis


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