Talking Logistics
MARCH 30, 2016
As shippers of all sizes expand their global sourcing, manufacturing, and distribution operations, they have to navigate the complexities involved with global transportation management. What are the main challenges global shippers face today? “It
Supply Chain Matters
JULY 25, 2022
As the calendar now moves to the second half of 2022, it is important to focus on rapidly changing developments including a marked escalation in geopolitical tensions that impact global supply chain strategies. Restoring More Direct Control in Materials Sourcing. Geo-Political and Hybrid Government Policy Dimensions.
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3rdwave
NOVEMBER 29, 2018
Managing a global supply chain network requires the ability to manage and control both global transportation execution and the associated freight spend. In a constantly shifting and competitive global trading environment, it is increasingly important to control all costs across the entire supply chain.
TransAudit
JUNE 27, 2023
It advances digitization efforts, facilitates data cleaning, and streamlines supply chain planning, procurement, and execution. Machine learning presents a solution by optimizing the flow of products from one location to another. Furthermore, human interaction remains essential in maintaining the quality of data being collected.
Supply Chain Matters
DECEMBER 13, 2022
The year featured continual component shortfalls, explosive inbound materials cost increases and continuous global transportation disruptions. By Q4, major European manufacturers were exploring alternative sources to produce energy-intensive products such as chemicals and fertilizers, with the U.S. Current Year 2022.
3rdwave
NOVEMBER 29, 2018
Managing a global supply chain network requires the ability to manage and control both global transportation execution and the associated freight spend. In a constantly shifting and competitive global trading environment, it is increasingly important to control all costs across the entire supply chain.
TransAudit
JULY 6, 2023
It advances digitization efforts, facilitates data cleaning, and streamlines supply chain planning, procurement, and execution. Machine learning presents a solution by optimizing the flow of products from one location to another. Furthermore, human interaction remains essential in maintaining the quality of data being collected.
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