Optimizing processes with artificial intelligence?

We are sure: invoices can be booked (automated) in the background, which apart from the approval have not gone through any further manual steps in the invoice verification. To understand exactly which recurring processes can be automated, we are on the lookout for 'familiar trails' (digital traces). 

We ask ourselves the question for you: To what extent do artificial systems support us in optimizing processes? 

Sebastian Thrun, co-developer of the driverless car, answered the question of whether there is real 'artificial intelligence' in a ZEIT interview: "Artificial intelligence is definitely a bad choice of words because the systems are not really intelligent. In the end, it works about pattern recognition, about the fact that technology can recognize rules and apply them. " 

So, it's about 'pattern recognition'. To understand how internal business processes really work to obtain a basis for optimization, your ERP system provides the necessary data to determine meaningful performance indicators. For example, specific process control can take place considering the flow paths.




As a user, you should be able to define the criteria for process optimization. How high should the percentage of invoices without changes be for automated recording? Recurring orders that were posted without a price / quantity change can be automated.

To optimize the p2p process, conclusions can be made about process blockers in the workflow by analyzing the process interruptions. This means that lead times can be significantly accelerated, and process costs reduced.


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