10 to 20 Times More Likely to Default
Access Financing, Lender Compliance
In today’s internet and lending technology everything is being done, approved and promoted by bots also known as algorithms. These algorithms are now determining if a business loan application gets approved, for how much, at what rate and how long of a term they are given to pay it back. The bots are analyzing the percentage of risk of default the business presents or in other words how likely it is to fail and when.
The Lender Bots look at statistical data going backwards to see specific trends and to determine if a business fits into any of those trends or falls into any of those categories. What they see is that certain things that small businesses do or are doing place them into a category where previous small businesses who have already defaulted on their business loans did those things.
Let’s look at a few of those things:
Business lenders have approval algorithms that their computers run on businesses
Those algorithms determine if a business is a high or a low risk of defaulting on a loan. There are a series of historical items they are checking from business borrowers who have already defaulted to determine common themes about those borrowers.
As you can see from the above examples what they have found is that if a business operates solely from a cell phone, or from a residence, or from a free email provider, or as a sole proprietor then any one of those items has already shown the business to be 10 to 20 times more likely to default on their loan. That gets the business categorized as a very high risk of default and therefore will only be eligible for very high interest rates, much smaller loan amounts and extremely short repayment periods.
There are many more of the high-risk category items that lender algorithms are now looking at. Inside our system we show all these High-Risk categories and how to position your business prospects to be viewed as a low risk of default, thereby increasing their opportunities for more approvals, higher amounts, and better terms.