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Cost to Serve Analysis—And the Costs of Neglecting It

Logistics Bureau

Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.

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6 Benefits of Applying Useable Data in Logistics For Continuous Improvement

GlobalTranz

We continue our series on strategic shipping by going into detail of the 10 main areas that shippers can turn to in order to have a strategic logistics and transportation management mindset. 6 Benefits of Using the Right Data in Logistics & Transportation Management for Continuous Improvement. Performance Management.

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Mars Wrigley’s Highly Successful Supply Chain Digital Transformation

Logistics Viewpoints

Mr. Beery began by visiting Procter & Gamble, UPS Logistics, the devices division at Microsoft, and other companies with advanced supply chains. The second goal was to work with a fourth party logistics (4PL) partner that had invested in cutting-edge transportation management and visibility solutions.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data, filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data.

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Freight Procurement is a Different Game

Logistics Viewpoints

An RFP is a data intensive exercise. This made the data analysis easier. On the inbound side, it was highly reliant on spreadsheet data. This made the data analysis “painful.” Simmons has corrected this problem; they are now using a TMS from Kingsgate Logistics for inbound freight.

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Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data , filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data.

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Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data , filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data.