Issues due to excessive human involvement:
Nalashaa’s team, after analyzing the workflow and loopholes, automated and optimized the invoicing process with RPA bots (using UiPath).
Auto-reading of invoices: Bots identify and classify invoices and read invoice data in predefined formats with an accuracy of 98%-99%. After this, the structured data is stored on the cloud.
High efficiency: As bots work round the clock, all delays are eliminated and individuals are relieved of any mundane jobs. Therefore, no incorrect invoices are processed.
Accurate validation – Bots validate invoices based on predefined criteria, update invoice data on ERP, and send notifications for the same. For failed validations, they auto-route invoices to the concerned individuals for further actions.
Easy reporting: Bots were coded to send a report for each invoice processed and a consolidated one, in a preset format, at the end of the day.
Foraying into ML - The validation reports are used as feedback for machine learning capabilities proposed to be built into the bots.