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Advancing Transportation Procurement: The Shift From Spreadsheets to Software

FreightWaves SONAR

For shippers, the approach to transportation procurement is evolving. This approach is cumbersome and fraught with challenges such as limited visibility, inefficient data management and difficulties in bid analysis. This not only makes the process more efficient, but also reduces the likelihood of errors and enhances productivity.

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Predicting Unpredictability: Expert Advice for 2024 Freight Operations, Benchmarking, and Procurement Preparation

CLX Logistics

When looking ahead to the future, it’s crucial to reflect on the past year, identify emerging trends, and strengthen strategies for benchmarking and procurement. The question then becomes, how can we predict these unexpected twists and turns to stabilize budgets without impacting operations? The outcome?

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The One Key Shift in Your Supply Chain and Procurement Strategies that can Drive Better Business Continuity and Resilience

Logistics Viewpoints

Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.

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Freight market data size matters: 5 key hallmarks of data sets that improve transportation procurement

FreightWaves SONAR

Transportation procurement remains a major problem for enterprises faced with the need for faster and more extensive capacity. Part of acting on them immediately derives from the size of the data collected and how it can be transformed into meaningful insights. Freight market data size consistency matters.

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Predicting Unpredictability: Expert Advice for 2024 Freight Operations, Benchmarking, and Procurement Preparation

CLX Logistics

When looking ahead to the future, it’s crucial to reflect on the past year, identify emerging trends, and strengthen strategies for benchmarking and procurement. The question then becomes, how can we predict these unexpected twists and turns to stabilize budgets without impacting operations? The outcome?

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Using data and AI to improve manufacturing

SYSPRO Smarter ERP

What is Machine Learning ML is the computing engine behind AI and gives computers the ability to make sense of, and learn, from data to perform specific tasks without manual interference. Nine areas where AI can help manufacturers There are several ways in which data and AI can be applied in the manufacturing industry. The Industry 4.0

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Truckload Shipping Procurement: How Large Data Sets/AI Aid in Pricing and Capacity Outlooks

FreightWaves SONAR

Outlook and predictive planning are a big part of successful supply chain operations. This is particularly true for truckload shipping procurement. The problem looms large for shippers and managers across the supply chain network, but the answer is out there – better utilization of smart data and automated processes.