Develop ML propensity model on historical payments; validate A/B test on one region.

| Metric | Improvement | |--------|-------------| | DSO reduction | 15–25% (e.g., from 52 days to 40 days) | | Bad debt write-offs | 30–40% decrease | | Collection cost per dollar | 40–60% reduction (due to automation) | | Customer retention (high-risk) | 20% improvement (via personalized plans) | | Collector productivity | 3x – focus only on complex negotiations | Debtors – Ongoing – Version: Build 4.0 is not merely an upgrade to collections software. It is a strategic finance capability that transforms receivables from a balance sheet liability into a source of customer intelligence and working capital optimization.

This report assumes “Build 4.0” represents a mature, fourth-generation framework for managing debtors (accounts receivable), integrating predictive analytics, automation, dynamic risk scoring, and behavioral segmentation. It moves beyond traditional aging reports and collection tactics. 1. Executive Summary Debtors – Ongoing – Version: Build 4.0 signifies a paradigm shift from reactive receivables management to a proactive, intelligence-driven ecosystem. Unlike legacy systems (Build 1.0 = manual ledgers; Build 2.0 = basic aging; Build 3.0 = ERP-integrated collections), Build 4.0 leverages real-time data streams, machine learning (ML) for payment behavior prediction, and autonomous workflow orchestration.

Full rollout – dynamic credit limits, NLP dispute triage, omnichannel bots.