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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. How predictive analytics works in logistics?

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Key IT Advances Shaping Vehicle Logistics

Logistics Business Magazine

With a detailed analysis of current challenges, including capacity constraints and the need for greater operational efficiency and transparency, this report is grounded in insights from 106 industry professionals. Key Findings from the Report 1.

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Transporeon Carrier Survey: Spot Market Benefits Amid Pandemic Gloom

Logistics Business Magazine

Transporeon has presented the results of European Road Carrier survey: Findings point up an urgent need for digital investment amidst pandemic gloom. Nevertheless, the survey results point up major deficits when it comes to calculating and reporting transport-related CO2 emissions.

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How AI and Machine Learning Changed Procurement Management

CLX Logistics

From optimizing operational efficiency to maximizing cost savings, organizations must navigate a complex landscape of competing priorities and evolving market dynamics. Organizations leverage AI-powered tools to automate routine tasks, extract actionable insights from large datasets, and optimize real-time procurement strategies.

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AI in Supply Chains: People Will Always Be Needed

Trinity Logistics

And of more than 1,000 supply chain professionals surveyed, 25 percent stated they plan to invest in AI within the next three years. For example, take an area of the supply chain that has had this form of technology applied to it, quite successfully, for many years – route optimization. .

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The State of Supply Chain Trends Part IV: Data Analysis, Wearables, and the Cloud

GlobalTranz

Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced data analysis. In fact, up to 70 percent of companies surveyed in Europe have already implemented cloud-based solutions to enable rapid scalability and flexibility.

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The Future Of Manufacturing Post-COVID

Blue Grace Logistics

While China recovered its economy fast, a shifted consumption pattern to e-commerce presented new challenges to the industry. According to a survey from McKinsey, 39% of industry leaders are enhancing industry 4.0 Optimization. Zara’s upstream and downstream operations are highly optimized and efficient.