The Rise of Alternative Business Lending in Data-Driven Market Research and Investment Decisions

Over the years, both small and medium-sized businesses (SMEs) have had several ways of securing loans, including personal loans, commercial bank loans, community bank loans, personal savings, and getting credit from suppliers. This aspect of doing business has changed over the years, like many other areas. It’s becoming more mainstream, with lenders handing out USD 200 billion in the U.S. as of early 2026.

One of the newer things for these businesses to do is to use alternative business lending to get funds. But there are things that they should know about these new ways before they go ahead with the loans. This knowledge can help prevent them from encountering dangerous scenarios in the future.

It’s All Data-Driven … in a Different Way

Previously, these lenders would use a set form of data criteria, mostly FICO scores, when it came to determining whether or not they would lend money. While some places do still use that as a benchmark, there are other factors that come into play. These include:

• Real-Time Cash Flow - They want to know how much money these small and medium-sized enterprises are bringing in at any given time. That way, they will know the ebb and flow.
• Bank Account Transactions - These lenders want to be certain that the money that they lend will be paid back. That’s the thing that will keep both the lender and lendee afloat.
• Payment History - The lenders will look at things like whether the applicant is on time with rent and utilities, among other things. That way, they know that they can trust the applicants.
• Gig Economy Income. - Many people get their work done now through gigs rather than working for a traditional company. In effect, they are their own businesses. The lenders want to make sure that they will be having a stable income.

AI and Machine Learning Can Be Helpful to Them

When it came to the processing time for these loans, it could take a while, months, even. That was because humans were sifting through all the information, and that was time-consuming. Now, they use algorithms.

These AI algorithms can speed through those data points in a much shorter amount of time. On top of that, they are much more accurate when it comes to risk assessment. As a result, these lenders can get back to their applicants up to three days later, which is a lot less stressful for both sides. 

They Use Open Banking APIs

This means that they get the data that they got permission from the consumers themselves. That way, they can get a more accurate, holistic view of whether or not the SME would be able to repay the loan. As a result, the applicant will know exactly why they were approved or declined - though the percentage of approvals is usually in the 60-80% range. 

Things to Consider

There are a lot of net positives when it comes to these alternative business lending options. Those include a lot less paperwork and much faster access to the money. It’s not perfect, though, and there are some potential pitfalls to consider before diving in.

The first thing to look at is the interest rate that the lenders will be charging with these loans. Those tend to be a lot higher than the traditional means. Also, there may be a shorter repayment window, and there is less regulation which could be problematic if there are issues on either side. Any SME should do extensive research before pursuing these lenders.

While this doesn’t mean that any SME going to be in business in the less savory side (think “The Sopranos”), they should be very aware of what they are getting into and whether they’re going to be able to meet those terms. Otherwise, they could be in trouble later, but not at the expense of their kneecaps.

Overall, though, these lenders are able to fill in the gaps that traditional banks, who use the slower, more traditional methods, leave behind. It allows for faster approval times and higher approval rates. As a result, these SMEs have a much better chance of being able to get a cash infusion from these alternative business lenders so that they can fund their operations.

While past history shows that totally embracing these sort of things can wind up with a tech bubble popping, it seems like the use of AI and algorithms in this field could continue to grow. It’s all about how well the AI will continue to adapt and avoid giving wrong answers or reading data incorrectly. If all goes right, this could be quite the burgeoning field for the foreseeable future. Traditional lenders would do well to take note of what’s going on and adjust to make sure that they don’t get left behind.