Late-paying B2B customers - automated AR decisioning and playbooks

Late-paying B2B customers - automated AR decisioning and playbooks targets a $18.0B = 3.0M businesses x $6.0K ACV. Rationale: 3M mid-market and SMB B2B sellers globally that purchase AR/credit management software, paying an average of $6K/year for automated AR, scoring, and decisioning. total addressable market with medium saturation and a year-over-year growth rate of 10% - driven by AR automation, embedded payments, and increased SMB adoption of cloud accounting.

Key trends driving demand: Embedded payments and dunning APIs -- allow immediate remediation (retry, card update, ACH retries) reducing marginal cost of collection.; Open banking and bank statement connectivity -- provide near-real-time cash signals that improve payment behavior prediction accuracy.; Automation of AR workflows -- companies are replacing manual email chasing with rule-based and AI-assisted sequences, increasing demand for decision layers.; SMB cash-flow sensitivity post-2020 -- tighter margins and higher interest rates make predictable collections more valuable..