Case Study: American Logistics Company achieves optimized cash flow and improved financial accuracy with Datamatics' AI/ML analytics

An American Logistics Company Optimizes Cash Flow Management and Increases Accuracy with Advanced Analytics and AI/ML Solutions

American Logistics Company, a Fortune 200 less‑than‑truckload transportation provider covering 99% of U.S. zip codes, faced inefficient cash flow and working capital utilization, manual and error-prone cash collections, billing and invoicing, and a lack of process standardization. To tackle these issues they engaged Datamatics to optimize cash flow, improve accuracy, and standardize financial operations using prescriptive analytics, AI/ML solutions and automation services.

Datamatics implemented prescriptive analytics to evaluate receivables, a strategy-based collections approach, AI/ML‑driven automation (auto reconciliation, on‑account status and unapplied cash handling) and industry benchmarking to define best‑practice processes. The engagement delivered clear results: 75% cash apps automation, AI-enabled auto worklist prioritization with zero manual dunning letters, 85% of customers included in an automated dunning strategy, improved cash flow and shorter cash conversion cycles, and elimination of payments posted to the wrong account.