RPA With Automation Anywhere For SAP

Invoices and sales orders arrive at businesses through emails and attachments. Digitize and Organize structured and unstructured data in documents, making it easier to enter the data into an SAP solution with Optical character recognition (OCR) or a combination of OCR and ML software bots. Once the invoice or order is registered, it can be automatically routed to the appropriate individual for approval and/or payment, accelerating the process.

Automate supply chain and inventory management processes in an SAP environment. Software bots compare prices and check on the availability of raw materials and delivery times. They can also generate stock lists, gather stock movement records, and send emails to human workers about the related activity.

Everyday operations involve tasks like generating documents, processing HR requests, and managing master data, many of which are still done manually. iRPA streamlines these workflows by automating the creation, classification, and routing of such requests. As a result, organizations benefit from faster processing times, increased operational throughput, and improved internal service delivery.

If there are changes in an employee’s status, for example, moving to a new position, being reassigned, or leaving the company, these actions result in paperwork and the need to gather relevant data from systems. The tasks can be automated, sparing human resources professionals from manual work to focus more on people and not processes.

SAP users work with many interfaces connecting other non-SAP systems for their business processes. If one or more of those interfaces fail or a process is not completed, then Identifying where a failure has occurred requires expertise in SAP and non-SAP technology, such as SAP Process Integration and legacy systems. Identifying and fixing a problem only begins when a user notices a problem with the business process. Proactive software bots can continuously monitor the interfaces, verify their status, and generate reports to facilitate identification and repair of failures.

Process failure can also occur due to inconsistent data, including transaction information. If that information has not been updated or has expired. Identifying where the inconsistencies are located can be a lengthy task, with users running multiple reports and comparing Excel spreadsheets. Software bots can automatically check data for consistency and report back to human workers.