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Let’s take a deep dive into the issues caused by manual invoice processing
Invoice processing consists of lots of steps, from invoice creation to final approval and payment execution. First, employees extract invoice data, initiating a series of manual actions. The data must be extracted from one document and then manually entered into ERP or AP systems. If invoices are sent in different formats, the ERP systems will require reformatting to match the requirements. Moreover, if there isn’t enough information, it will provoke back-and-forth communication between finance teams and suppliers, leading to delayed payments and financial losses due to missed discounts.
Yet, achieving seamless automation starts with knowing exactly where inefficiencies lie. Identifying friction points and determining which tasks require automation is crucial – but not always straightforward. This is where Task Mining comes in.
The moment the SSC realized that the traditional manual process analytics hadn’t worked out, they decided to find an advanced tool to unfold their ‘as-is’ processes and make them better.
First, we deployed Task Mining Clients on employees’ PCs, and they collected user interaction data. Then Operavix extracted ‘as-is’ tasks and let the SSC identify routine manual ones with the highest automation potential.