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

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

Client

The client is one of the largest less-than-truckload transportation providers in North America. Also ranked among the Fortune 200 companies. They provide world-class transportation solutions to the most successful companies in the world. Their extensive network reaches 99% of all U.S. zip codes through a single source and also covers Canada, Mexico, and the Caribbean.

Industry

Transportation


Region

United States

Challenges

The client struggled with inefficient cash flow and working capital utilization, alongside suboptimal cash conversion cycles. Their manual processes for cash collections, billing, and invoicing were riddled with issues, lacking both visibility and accuracy.

These challenges led to financial inefficiencies and hampered the client's ability to effectively manage their resources. To remain competitive and improve their financial operations, the client needed a solution that could automate and streamline these processes, ensuring better accuracy, visibility, and overall efficiency in their financial management.

Solution

The Datamatics team implemented prescriptive analytics to assess the life cycle of trade receivables and overall performance. They introduced a strategy-based approach to collections, enhancing control and visibility to reduce past-due balances.

Additionally, AI and machine learning solutions were deployed to improve accuracy and reduce manual intervention. These technological advancements streamlined the client's financial processes, providing more precise insights and efficient management of receivables.

Impacts

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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