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Boosting Logistics Sales: Proven Strategies to Increase Revenue

IFS Blogs

Boosting Sales in the Logistics Industry: Proven Strategies for Growth In todays competitive logistics industry, increasing sales requires a combination of strategic planning, advanced technology, and a customer-centric approach. Below are key strategies to enhance sales and drive revenue in the logistics sector.

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Supply Chain Mastery: Innovative Strategies for Importers

MTS Logistics

However, importers can significantly enhance their supply chain’s efficiency and reduce costs, while also improving customer satisfaction and increasing profitability by implementing several essential strategies. This can include training in areas such as data analytics, lean principles, and supplier management.

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Skills Gap: Why It’s Creating New Manufacturing Opportunities

GlobalTranz

manufacturing industry faces a serious crisis, the skills gap. Unfortunately, the skills gap only appears to be growing worse, but it is creating several groundbreaking manufacturing opportunities. . Millennials have grown up in an era of digital advancements, including smartphones and advanced computer skills. In the U.S.,

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Top Supply Chain Optimization Strategies for 2025

Log-hub

Thats why its more important than ever to focus on strategies that work and make them part of your plan moving forward. Lets explore the key strategies that can keep your business ahead of the competition in 2025. Make Sustainability a Core Strategy Consumers care more than ever about where their products come from and how theyre made.

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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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AI and Machine Learning in Manufacturing ERP: Key Benefits

SYSPRO Smarter ERP

As the ML process trains on data, it is then possible to produce more precise models based on that data. Industrial engineers have used heuristics-based rules, what-if analysis, and physics-based simulation to get predictive and prescriptive insights for several years. Generative AI can also be used for information summarization.

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The AI Wars: Battlefronts, Breakthroughs, and the New Era of the Industrial AI (R)Evolution

Logistics Viewpoints

Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable. AWS has custom AI chips Trainium and Inferentia , for training and running large AI models. The battle here is to develop hardware that can handle this massive computational load efficiently and cost-effectively.