Contact points for tracking metrics to support users and process-specific introductory metrics
The second level of our customer service process supports the first level in more complicated cases. Due to the excellent technical expertise available in this stage, the possible causes of the disturbance are quickly found and a solution is reached. If during troubleshooting it is determined that the help of the software house SAP is needed, the contrimo employee increases the priority and the request reaches (in consultation with the customer) our 3rd level support.
This allows us to deal with the actual incident with a lower priority structure, so that we can use the right skills and expertise to achieve a lasting solution. Support includes in particular: Incident Handling - Urgent assistance with blocking issues / Advanced questions from key users & business process managers / Changes & fixes - business critical developments.
What can customers do today?
For training in the rollout phase, the above documents and records proved very helpful. The tool has supported our SAP instructors in user training. The automatic documentation in Word serves as a training manual. Recorded processes are particularly useful for SAP transactions, because no one can remember all the transaction steps of a main process. All areas of work are directly accessible via a table of contents. To answer questions from SAP users not only orally but also in the form of screen recordings, key users and support staff can quickly "film" and publish the processes in question. The user can view both his input and the results in the Personal Navigator. This means that the errors are almost completely eliminated. There are also other offers on the market, but this tool has proven itself in practical use.
Here's an example we had about one or two years ago. A larger company with a fairly large SAP user base had 2 experts in support alone. SAP experts, who tend to be expensive and have done nothing but route the incoming tickets to the right place so IT support could get involved. We automated this process by using AI. Not their semantic skills, not as a chatbot, but their analytical skills to learn from historical tickets that used to arrive and were misdirected and how they were resolved. So within a few days, we were able to build up this AI to the point where it could fully adopt the classification of the tickets. Now, the artificial intelligence that came out of this rich information that came out of the SAP world was able to pass these tickets on to the right person, and in some cases even work out solutions.
"Shortcut for SAP Systems" simplifies SAP support tasks and adds to the standard's missing functions.
This also affects the complexity of ERP systems and IT architectures.
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