A large manufacturing company buys components from many different suppliers, which are constantly changing. Every month, the company cooperates with more than 10,000 counterparties, each of which must be checked before entering a transaction. In addition, you need to regularly check old and" verified " counterparties. This check is performed by Yandex. News, the Public Procurement website, an extract from the Unified State Register of Legal Entities and the presence/absence of counterparties in the blacklists of the Central Bank.
Payback of implementation
This check is performed by a whole department, which receives lists of internal systems and generates summary reports on counterparties. These reports are sent back to corporate systems. The content of such a department puts a lot of pressure on the company's budget.
Checking counterparties
Uploading a list of companies for verification
Checking the list of companies
Entering verification data into systems
Creating a summary report for management
Analysis of the summary report and additional verifications
Uploading a list of companies for verification
Checking the list of companies
Entering verification data into systems
Creating a summary report for management
Analysis of the summary report and additional verifications
After robotization, all checks were performed by a robot. To save bandwidth by the number of checks, several licenses were purchased. But, despite this, the payback of the project was incredible.
The robot checks the Public Procurement website for finding a supplier in the blacklist of the Central Bank, finds 10 latest news about the company, checks USRN/USRIP statements by keywords, and Blacklists of the Central Bank. Currently, people only take part in some key checks.