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Blue Star’s Entire Accounts Payables Improves by 33% with Procure-to-Pay Process Re-engineering Case Study
Case Study

AI & Advanced Analytics: How Datamatics helped in Optimizing Cash Flow Management for a Leading American Logistics Company

Client

The client is an American Logistics Company, a leading provider of less-than-truckload (LTL) transportation services, ranked among the Fortune 200 companies operating across multiple regions. With an extensive network spanning covering 99% of U.S. zip codes and operations reaching into Canada, Mexico, and the Caribbean. Recognizing the need to modernize financial operations, the client sought a data-driven, AI-powered solution that could streamline processes, enhance accuracy, and ensure long-term financial stability.

Industry

Transportation


Region

United States

The Challenge: Roadblocks in Cash Flow Management

The company had a mission in improving financial processes to support its expanding operations and maintain efficiency. Company recognized the need to optimize financial workflows to support long-term growth and stability. 

Managing cash applications, collections, and invoicing in a dynamic logistics environment requires precision. However, the company’s existing manual processes led to inefficiencies, including delayed payments, reconciliation challenges, and visibility gaps in receivables. These inefficiencies extended the cash conversion cycle, affecting working capital utilization and making it difficult to maintain seamless financial operations.

As the company continued expanding its services, the need for a scalable, technology-driven solution. These challenges led to financial inefficiencies and hampered the client's ability to effectively manage their resources. Company recognized that need a solution that could automate and streamline financial processes, ensuring better accuracy, visibility, and overall efficiency in their financial management.

The Solution: AI/ML Solutions with TruAI & FINATO

Datamatics introduced a suite of AI-driven solutions to enhance financial accuracy and streamline cash flow management. By implementing prescriptive analytics for trade receivables, the company gained better control and visibility, reducing outstanding balances and optimizing receivables management. AI-driven automation in cash applications significantly improved the accuracy of cash postings and reconciliations, minimizing manual interventions and cutting down processing times

With real-time financial insights, the leadership team could make data-driven decisions, leveraging advanced dashboards to monitor payment trends, cash flow forecasts, and overdue receivables. These solutions collectively transformed the company’s financial operations, driving efficiency and precision across all aspects of cash flow management.

Impact: Enhanced Accuracy & Efficiency

CC88

75% cash apps automation

Auto reconciliation + On account status + unapplied cash handling
cc107

Improved cash flow & shorter cash conversion cycle

with zero payments posted on wrong account
cc28

85% of total customers included in automated dunning strategy

cc68

AI enabled auto worklist prioritization & zero dunning letters manually

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