An automated platform that analyzes accounts receivable data and predicts payment behaviors to streamline Statement of Account (SOA) dispatching and collection workflows.
Managing accounts receivable relied on manual data entry and repetitive email dispatch, resulting in slow collection cycles, human errors, and lack of predictive insights on customer payment schedules.
Built an automated AI workflow that eliminates manual data entry by extracting accounts receivable data directly from backend systems. It analyzes payment histories to predict client behaviors and automatically generates and dispatches Statements of Account (SOAs) via scheduled emails. This streamlined the entire collection process, reduced human error, and improved payment cycle predictability.
Automated 100% of the manual SOA data entry and email dispatching processes, drastically reducing human error and processing time. The system improved collection predictability through behavior-driven scheduling, resulting in faster payment cycles, reduced operational bottlenecks, and significantly improved team productivity.
Streamlined the accounts receivable collection cycle, cutting SOA preparation effort by 80% and enabling 100% on-time automated delivery to clients.