FreightWaves SONAR
MARCH 24, 2021
Big data in the supply chain is nothing new. Nearly every shipper, broker and carrier collects and uses data to derive insights, including predictive rates. And routing guide compliance is among the top reasons that today’s shippers experience strife and stress in supply chain management.
FreightWaves SONAR
APRIL 7, 2021
Data has become an integral part of the supply chain network’s daily operations and is inseparable from the modern processes that govern procedures involved in transportation. Anything other than up-to-date, near-real-time freight data will make the work of the management team all the more difficult.
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GlobalTranz
MARCH 15, 2018
Intelligent supply chain management can reduce costs, improve profitability, and enable competitive advantage for your organization. Fear and Poor Change Management Prevent Successful Implementation of Intelligent Supply Chain Management. Download white paper.
GlobalTranz
FEBRUARY 12, 2018
Brandon is a writer connected with digital marketing and supply chain management. In this article, he writes about the characteristics of an effective supply chain manager. . WHITE PAPER] The Top Supply Chain Trends that Will Impact Supply Chain Management in 2018.
The Logistics Academy
OCTOBER 4, 2016
Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain management than in other areas of operation such as marketing or manufacturing.
FreightWaves SONAR
MARCH 30, 2021
Establishing a practical freight routing guide helps outline essential rules of engagement for vendors, clients and supply chain managers. Maintaining good compliance to these informational guides is critical to supply chain management and relies heavily on current data and automation.
FreightWaves SONAR
MARCH 9, 2021
Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.
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