Automated Financial Statement Preparation

A North Carolina-based e-commerce retailer specializing in flags and banners experienced rapid order volume growth that overwhelmed manual accounts payable processes. After deploying automated invoice extraction, purchase order matching, and payment routing, the retailer reduced accounts payable labor costs by 50% and shortened the month-end close by several hours, all without adding headcount, according to a 2025 NetSuite case study. The system automatically extracts invoice data, matches entries to purchase orders, and routes each bill for online approval before releasing payment, providing real-time visibility into cash requirements as transaction volumes continue to climb.

In a broader implementation documented by Globy in 2025, a scaling technology company deployed AI-enabled finance automation across reconciliation and reporting workflows. The deployment reduced month-end close time by three days, cut bank reconciliation time by 90%, and halved overall reporting time. The organization cited improved audit readiness as a critical benefit, particularly as the company prepared for a funding round requiring reliable financial statements on compressed timelines. Separately, a Fortune 500 manufacturer reduced the monthly close from eight days to four days after deploying an AI-based reconciliation engine, according to a 2025 SmartDev analysis, freeing executive teams to access timely insights and enabling a shift toward rolling forecasts and continuous planning.