Author: Darren Tredgold, General Manager, Independent Steel Company
Supplier credit intelligence is the most undervalued data source in Australian construction finance right now. Every regional steel distributor and building materials merchant generates powerful supplier credit intelligence as a byproduct of daily trade, yet almost no fintech lender taps into it.
Here is what I mean. At our branches across South-East NSW, we watch builders come through the doors week after week. Over time, those patterns tell a story no bank statement ever could. When a regular’s weekly structural steel order drops to fortnightly, or when they quietly switch from premium products to budget alternatives, we see financial stress building in real time. We know which builders are growing, which ones are stretched thin, and which ones are about to hit a wall. Banks reviewing quarterly financials? They are months behind us.
Between June 2022 and March 2025, more than 7,600 Australian construction firms became insolvent. That figure represents 26.5% of all corporate insolvencies, even though construction makes up less than 10% of GDP. Meanwhile, roughly 40% of the average builder’s total liabilities sit as short-term unsecured trade credit. So suppliers, not banks, carry the greatest financial exposure when things go wrong. And yet the supplier credit intelligence we hold barely registers in formal lending systems.
What does supplier credit intelligence look like on the ground? Research from Petersen and Rajan at Kellogg School of Management found that suppliers lend to businesses others will not, because they gather credit information as a natural byproduct of selling. Their landmark 1997 study confirmed what every distributor already knows intuitively: we see things a bank never will.
Here are five core signals that define supplier credit intelligence in regional building supply.
First, order volume shifts. A builder whose monthly steel tonnage drops 30% over two quarters is either losing contracts or tightening cash. Either scenario signals revenue trouble well before it hits a balance sheet.
Second, payment speed changes. When a reliable 25-day payer starts stretching to 40 days, that trend is a leading indicator of liquidity stress. No credit bureau updates that fast.
Third, product mix shifts. Switching from structural to lighter-gauge steel, or from premium to economy, often points to margin pressure on active projects.
Fourth, requests for extended terms. A builder who has never asked for 60-day terms before suddenly needs them. That single conversation carries more predictive weight than a credit score.
Fifth, failure to take early payment discounts. As credit management platform Bectran notes, skipping available discounts serves as a powerful tripwire for deteriorating creditworthiness.
Each of these signals arrives at the supplier’s trade counter weeks or months before it surfaces in a bureau report.
The core problem is structural. Banks rely on hard information: financial statements, tax returns, and credit scores. Researchers Berger and Udell demonstrated in 2002 that soft information thrives in small, flat organisations where the person collecting the data also makes the decision. That describes a regional distributor perfectly.
By contrast, large bank hierarchies systematically strip out soft information as it moves up the approval chain. A branch manager’s instinct about a local builder does not survive the journey to a centralised credit committee.
This asymmetry hits hardest at ground level. Construction payment delays already crush Australian SMEs, with only 58.6% of small business invoices paid within 30 days. For builders in regional NSW, the local steel supplier often functions as their most important source of working capital. Yet that supplier’s accumulated knowledge about a builder’s reliability, capacity, and trajectory never feeds into any formal credit model.
When Porter Davis collapsed in 2023 owing $557 million, the bank expected full repayment on its secured debt. Trade creditors were told to expect nothing. So the people with the least information got protected, while the people holding genuine supplier credit intelligence bore the losses.
The fintech sector has made real progress with alternative data for SME underwriting. Prospa has funded over $3 billion to 28,000+ Australian businesses. Butn has integrated invoice financing directly into MYOB. Earlytrade now has 150,000+ business users processing $3 billion in early payments. These tools are impressive, but they still miss the supplier credit intelligence layer entirely.
No existing platform systematically combines building materials supplier data with lending underwriting. That is genuine whitespace. Imagine a model that ingests a distributor’s transaction data alongside accounting feeds: order frequency, product mix, payment behaviour, years of continuous purchasing. Then layer in the community intelligence that flows through regional trade networks. A builder’s reputation in a town like Nowra or Moss Vale travels fast. The result would be a credit signal far richer than any bank statement or bureau score.
For trades businesses navigating these financial pressures, having the right back-office support also makes a measurable difference in staying ahead of cash flow issues.
The opportunity is staring at us. Supplier credit intelligence already outperforms traditional credit assessment for construction SMEs. The next step is building the bridge between the distributor who spots the warning signs and the fintech lender who needs better data to serve the builders that banks have walked away from. Regional distributors are ready. The question is whether fintech will catch up.
