The reconciliation between two different streams is a very common operational activity in many business processes: between wire transfers and supplier invoices, delivery notes and purchase orders, catalog sale prices and supplier catalog prices, and many other cases.
Today, it is possible to delegate this type of task to Matt, the first robot capable of identifying, analyzing, and updating the streams to be reconciled directly on the company’s ERP.
What makes Matt unbeatable?
Matt is able to read documents related to orders and receipts by connecting directly to the data flow.
With its advanced cognitive skills (OCR), it can analyze and manage even complex documents with extreme precision, such as PDF files received by email and fax.
It is the only robot on the market capable of associating and updating data directly on the company’s ERP without the need for operator intervention.
And not only that.
Through a Machine Learning mechanism, Matt automatically learns to solve some of the most recurring problems, such as associating a wire transfer with an unrecognizable entity or identifying, in the absence of specific instructions, which transactions are due for payment among those still open.
These types of activities are often lengthy and burdensome for humans, and the margin of error is very high due to the repetitiveness of tasks.