Late-paying B2B customers - predictive scoring and auto-collections

Late-paying B2B customers - predictive scoring and auto-collections targets a $6.0B = 4,000,000 invoicing SMBs in target markets x $1,500 ACV (annual AR automation, collections tooling, and integration spend). Buyer count assumes SMBs that issue B2B invoices on net terms in US, UK, EU, AU. total addressable market with medium saturation and a year-over-year growth rate of 12-18% annual growth in AR automation and fintech services for SMBs as digital invoicing and embedded finance expand.

Key trends driving demand: Invoice digitization -- more SMBs use online invoicing and accounting software, creating structured data for predictive models; Open banking and payment confirmations -- real-time visibility into receipts reduces uncertainty and enables automation; Economic pressure on buyers -- stretched buyer cash means late payments are more common, increasing demand for AR solutions; Embedded financing -- increasing availability of invoice financing or dynamic discount tools changes remediation options; Automation adoption -- SMBs are replacing manual chase workflows with automated, multi-channel follow ups.