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Four Ways a TMS Solution Leverages Predictive Analytics

Supply Chain Collaborator

Data reveals frequency of use and availability/location of assets over time across the shipper’s network is analyzed to help achieve the “right size” of both equipment and staffing levels. This data can be analyzed and leveraged to help reduce dwell times and improve DC throughput.

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TMS SuperUser Secrets – Benchmarking Using TMS Data

Supply Chain Collaborator

The first phase of successful TMS usage involves using the solution to drive visibility into one’s own transportation processes, network and capabilities. Examination of KPIs such as on-time performance (and the reasons for lateness, long dwell times, slow loading/unloading, OS&D claims, etc.)

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How AEI Tags Are Changing the Way Freight Moves!

Supply Chain Game Changer

AEI tags article and permission to publish here provided by Adrian Brito on behalf of Industrial Networks. They can keep track of the time that cars are being serviced, and they can watch for excessive dwell time. Do you have a Freight Management Strategy or are you Spinning your Wheels?