Can workloads be distributed more fairly?

Medium-sized and large companies often work in a task-oriented manner. For example, different people and departments are involved in the p2p process. Purchasers process the demand request from the production department. The warehouse clerk takes the order and posts the incoming goods. Financial accounting checks the incoming invoice and asks the approver to approve invoices for payment.

This process chain means that employees work task oriented. Each department only takes care of department-specific tasks. This can lead to a certain operational blindness for the entire process. A process analysis supports companies in taking a holistic view of processes. In this way, bottlenecks and process brakes can be clearly identified. Here we are talking about objective process mining.

Depending on the size of the company, individual processing groups are responsible for specific work steps. For example, how is the workload distributed as a percentage between individual processing groups within the invoice verification process?

To do this, we consider the workload performed the day before.

• How many invoices have been processed by which employees / groups based on amounts and document volume?
• How has the workload changed in percentage over the last week?
• Which discount could be used?

Based on the analysis of the workload performed, the future distribution of the workloads can be optimized. In this way, not only can employees be relieved, but workloads can also be distributed in an urgency ratio regarding possible loss of discounts.