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The Growing Role of Machine Learning in Data Capture & How Outsourcing is the Most Efficient Way to Accomplish It

August 6, 2024

The role of machine learning in data capture is rapidly expanding. Download our newest white paper for our own analysis of how these changes

Disrupting OCR In Manufacturing

June 24, 2024

How Machine Learning Has Changed The Game Optical Character Recognition (OCR) has been a cornerstone in the evolution of the manufacturing

Navigating the Costs: The Impact of Poor Freight Invoice Auditing

June 7, 2024

For Shippers, Carriers, and 3PLs, freight invoice auditing oversight can lead to costly consequences. From financial leakage to compliance r

Streamlining Freight Payment and Audit Processes Through Outsourcing

May 2, 2024

The logistics industry is known for its complexity, demanding precise accuracy and efficiency to keep pace with growth and standards. Outsou

Streamlining Freight Invoicing and Auditing Through Outsourcing

April 25, 2024

In today's cost-conscious business environment, precision is paramount, especially in complex sectors like logistics, where inaccuracies in

Why it's essential for Carriers to provide accurate invoices to Shippers; ensure faster payments with Audits and Outsourcing

April 20, 2024

For carriers, providing precise invoices to shippers isn't just a matter of paperwork; it's a cornerstone of trust and efficiency. Clear, ac

Why it's essential, if you're a shipper, to audit invoices you receive from carriers.

April 15, 2024

Invoices received from carriers contain a series of calculations for expenses incurred during transport, along with any discounts you, as th

Overcoming Challenges in Freight Invoice Processing With AI Machine Learning

April 2, 2024

As companies scale their shipping activities, in-house resources can become strained, leading to inefficiencies in freight invoice processin

Leveraging the Power Duo: Outsourcing and Machine Learning for Freight Invoice Processing

April 2, 2024

Navigating the complexities of freight invoice processing demands discipline, keen attention to detail, and a commitment to swift, accurate

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