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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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How We Use Data to Better Plan for Produce Season

FreightWaves SONAR

This is where being able to monitor tender data at the market level can become your secret superpower. Take, for example, the market of Twin Falls, Idaho in comparison to Lakeland, Florida. Tender data uniquely uncovers greater visibility into volumes and supply/demand metrics where seasonal impacts will make an impact.

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Predictive Analysis in Logistics and Supply Chain: How to Apply

3PL Links

Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms.

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Managed Services Clarifies Data In The Chemical Supply Chain

Trinity Logistics

Chemical manufacturers collect and use a lot of data in their supply chain. They deal with data on their products, customers, transportation, storage, operations and more. Acquiring that data is not hard but managing and utilizing that information to be able to analyze your business is the challenge. Lane Analysis Reports.

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IoT in Logistics “The Maersk Case Study”

Logistics at MPEPS at UPV

According to the article “ How IoT can improve the logistic pro ces s ” the internet of things (IoT) provides data, which describes objects “physical assets” for example a good to be transported and distributed worldwide. Cloud based services : this makes easier for the customers to get data faster.

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Maximize Ecommerce Supplier Relationships

Ship Monk

The process involves collecting quantitative and qualitative data concerning vendor-provided goods and services, and analyzing this data for opportunities to improve (or reasons to end) the relationship. Adding an SRM layer simply forces you to analyze this data once in a while, and use the information to improve your business.

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Examples of How Supplier Quality Management System Implementations Pay Off

GlobalTranz

We conclude our series on supplier quality management (SQM) today with a look at some case studies and examples of benefits derived from the application of a supplier quality management system. Examples and Case Studies from the Implementation of a Supplier Quality Management System.