The customer is a global financial technology company that provides services to businesses in the financial services sector, including banks, credit unions, thrifts, securities brokers, mortgage, insurance, leasing, and financing firms, as well as retailers.
The customer needed help expediting the data extraction and validation process through automation for one of its daily operations, which required manual labor and was using resources that could be reassigned.
Our client would issue cheques to its merchants, which, due to various reasons, could return them. These cheques were then scanned and uploaded to the remittance manager application by the customers’ data center team and classified as Corporate and Draft cheques.
When returning the cheques, merchants would attach the letter/document which explained the return reason either digitally or handwritten & scanned. These documents had to be validated, and the corresponding case updated in the CRM platform.
Brillio assessed their business requirement and explored the features of the Enterprise Intelligent Document processing tool and Opensource OCR Platform/Algorithms to attain the required accuracy and precision on data extraction.
The solution identified includes a combination of Robotic Process Automation (RPA) technology and AI/ML & Deep Learning models for cheque data extraction.
The solution facilitates the extraction of data from handwritten or printed checks and mail and uses RPA bots to process the data on BU applications.
The implementation steps followed by Brillio to achieve the desired outcome:
Financial documents contain bank cheques and letters of rejection. The mapping of these bank cheques and subsequent multiple/single/handwritten letters was achieved by comparing metadata extracted on the cheques and letters and then, based on the data, building subsequent mapping.
Following Brillio’s implementation, the client was able to:
The results led to:
