Credit Scoring

Credit scoring in a B2B context is the systematic evaluation of a business customer's likelihood to pay invoices on time, using quantitative models that analyze financial data, trade payment history, public records, and industry benchmarks to produce a numerical risk rating. Unlike consumer FICO scores (300–850), business credit scores operate on different scales depending on the bureau: Dun & Bradstreet's PAYDEX ranges from 1–100 (80+ indicates prompt payment), Experian Intelliscore Plus uses 1–100, and FICO SBSS scores range from 0–300. Key data inputs include trade payment data from vendors and creditors, public filings (liens, judgments, bankruptcies, UCC filings), financial statement ratios (current ratio, debt-to-equity, cash flow coverage), years in business, industry SIC/NAICS codes, and company size metrics. A robust B2B credit scoring model typically weights payment history at 35–40%, financial strength at 25–30%, public record data at 15–20%, and business profile factors at 10–15%. Companies that implement algorithmic credit scoring reduce credit decision time from 3–5 days (manual review) to minutes while achieving more consistent risk assessment across their portfolio. Quadient AR integrates credit scoring into the order-to-cash workflow, automatically assigning risk tiers and recommended credit limits based on real-time scoring data, triggering re-evaluation when scores change by more than 10 points, and routing high-risk new accounts for enhanced review. For small businesses building their own credit profiles, establishing trade credit relationships and maintaining on-time payment records through organized bookkeeping — services that doola provides — is essential for achieving PAYDEX scores above 80 and accessing favorable payment terms from suppliers.