Pull Data from Hundreds of Sources Before Making a SME Loan Process
Lenders typically use common, large-scale data in order to understand SME needs, budgeting history, and growth potential. But some credit assessments that use this data alone fail to accurately represent the small to mid-sized business and often result in unfavourable loan conditions. Integrating alternative data can give a more accurate, all-around representation of a credit profile, in a more efficient manner.
Automation and AI can integrate information pulled from dozens, or hundreds of online sources, apart from official business documents. This picture helps the lender make a more appropriate assessment of the SME credit profile, and a more well-informed decision for lending. AI software uses its advanced language comprehension technologies in order to create and maintain an up-to-date and more accurate SME profile. It can even project future outcomes for a company, based on current and past data.