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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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Data-driven decision making in manufacturing

SYSPRO Smarter ERP

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

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What are Digital Twins and How Can They Drive Warehouse Efficiency?

Logistics Viewpoints

The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. Let’s start by looking at the true benefits of digital twin concepts and what they can specifically mean to bringing productivity and efficiency gains to you operation.

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How IoT Brings Railway Efficiency to Dutch Rail Network

IoT World Today

Internet of Things (IoT) sensor-generated data is another key piece of improving railway efficiency and operations. Accordingly, the number of IoT transport units is expected to increase , according to Statista data, from 2.6 Optimizing Railway Operations with Data. Making Data One’s Own. million in 2017 to 3.7

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Support for Energy-efficient Drive Systems

Logistics Business Magazine

With its ECO service, NORD helps companies to find the most energy-efficient drive solution for their application. The NORD ECO box can measure the energy consumption of individual drives in detail and allows for extensive data analysis. Evaluation of the data Once the survey is completed, NORD evaluates the data.

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Navigating the Future of Automation: Using AI to Alleviate Port Congestion

MTS Logistics

Port congestion poses significant challenges to global supply chains, maritime trade, and overall economic efficiency. AI-Powered Optimization for Port Operations Data-Driven Decision-Making: AI algorithms analyze historical data, real-time information, and external factors to optimize port operations.

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The use and impact of Big Data in the Supply Chain industry.

Logistics at MPEPS at UPV

The exponential impact of e-commerce on traditional, brick-and-mortar retailers, is one good example of how the data-driven revolution is sweeping many sectors of the economy and business operations nowadays. Two major challenges might be limiting big data to fully impacting the supply chain. UPS success case.