Adopting SuperAcc for a multinational banking group to accelerate their credit analysis process
Supported document type
Bank Statement
Date
Apr 27, 2021
Our solutions
Bank statement analysis
APIs
LayoutLM, OCR, Layout analysis, Table structure, Table category, Lexicon
ChallengeThe credit analysis team took around 6 hours to analyse a single corporate with 6 months' bank statements. The growing demand had been increasing and the human resources could not catch up with the business needs.
Discovery and solutionOur team met the client and digested several procedures:
1. Health analysis
2. Transaction analysis and categorisation
3. Credit analysis
We trained a layoutLM (layout language model) to detect the key information to conduct health checking. Computer vision models are trained to extract the transaction information. Our business analysis team closely worked with the client working team to understand the credit analysis logic in order to develop the credit analysis calculation mechanics in the system.
The result
BeforeThe credit analysis team spent around 6 hours in tidying up multiple bank statements from a single corporate client in order to produce the credit analysis report.AfterThe end-client bank statements are uploaded from the client system to SuperAcc. SuperAcc takes 10 minutes to analyse a case with around 200 pages bank statements. The credit analysis team now spends around 30 minutes to review the result and generate the report for a case.
