Extensible Business Reporting Language

Using XBRL in Targeted Client Acquisition

We have already tested the XBRL data extraction tool using 2016 data sets available from USITC. The two data sets available for testing were the charge data and accounting data. Our goal in the test was to assess the validity of the extracted data to determine whether the data would be useful to selected financial institution’s customers.

The following analysis results explain how we intend to target clients efficiently and effectively. This will ultimately lead to more SMEs obtaining invoice finance from us and resulting in corresponding increase in our revenue model and hence increase in liquidity for Transactions in trade the platform.

The ability to extract over 1500+ data points from the XBRL data set on each company is a game changer and this gives us a great opportunity to analysis the credit risk of a company in question, their trading partners as well as the whole industry. XBRL data submitted daily by companies to USITC are updated on our system instantly, creating a real-time insight to how the US economy is performing.

The combination of extracted XBRL data and the Altman Z-Score formula have not only allowed us to bypassed the need to use an external credit reference agency, but have also allowed us to gain a technological and financial edge over our competitors. We have effectively created our own

in-house credit rating system which is more advanced than the current industry standard.