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Data is the New Oil: Competing on Logistics Data

Talking Logistics

Data is the new oil,” stated Clive Humby, a British mathematician, in 2006. to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value.” Read more Data is the New Oil: Competing on Logistics Data. It’s valuable, but if unrefined it cannot really be used.

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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

Fuel prices and a shortage of drivers are putting transport logistics under immense pressure. Taking all aspects into account is the only way for logistics companies to have a solid foundation for decision making and holistic optimization. This is where big data technologies come into play.

Big Data 250
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Stringent Reporting Regulations Require Data Integrity

Logistics Viewpoints

This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supply chain logistics, compliance requirements, and data integrity. Regulations requiring Scope 3 emissions data from companies, create an end-to-end value chain reporting issue.

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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

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Real-Time Trackers: A Welcome Labor Solution for Logistics

The labor market is under an unprecedented squeeze, and the logistics industry has been hit particularly hard by the “Great Resignation.” Why streamlining data simplifies the logistics role. The difference between real-time data tracking vs. passive data logging, and why the former is key to efficient operations.

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The $440 Billion Logistics Problem with Ilya Preston

The Logistics of Logistics

Ilya Preston and Joe Lynch discuss the $440 billion logistics problem. PAXAFE contextualizes active and passive visibility data, quantifies risk and predicts OTIF adverse events. Key Takeaways: The $440 Billion Logistics Problem PAXAFE helps businesses in the supply chain industry use data to improve their operations.

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This Week in Logistics News (April 20 – 26)

Logistics Viewpoints

And now on to this week’s logistics news. Those images are then matched with a natural language processing of text-based description of the product, plus other quantitative data to match the item with its ideal shipping solution. Alibaba has officially introduced its Logistics Marketplace, providing U.S. The project on the U.S.

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The Digital Logistics Provider: Delivering a New Level of Service in the Age of IoT

Logistics Service Providers (LSPs) have a lot on their plate. In response to the growing complexity of the modern global supply chain, logistics service providers are embracing digital supply chain solutions powered by new IoT tracking technologies and data analytics. How can the modern LSP stay competitive in the age of IoT?

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Port Congestion Shines Light on Visibility Gaps

Port congestion is a standout topic in current conversations surrounding logistics and the supply chain. This report, built from extensive survey data from a myriad of shippers and logistics providers, shines light on visibility gaps that have contributed to the current crisis of port congestion.

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The State of Data and Insights in Healthcare Logistics

Medical and pharmaceutical manufacturers have faced increasing logistical challenges over the past two years. This report, produced by Worldwide Business Research, explores the progress companies have made toward supply chain digitization and logistics maturity.

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Digitizing Logistics: Harness the Power of Data in 4 Steps

That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.

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Return to Success: Streamlining Returns in the Supply Chain for Enhanced Efficiency

Speaker: Cathy Morrow Roberson, Research Manager for the Reverse Logistics Association

Businesses need to leverage advanced tracking systems and data analytics to identify bottlenecks and improve supply chain visibility. In today's competitive business landscape, providing a seamless return experience and maintaining an efficient supply chain are critical to customer satisfaction and loyalty.

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Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Learn all about this AI technique and how it can help your organization.

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TMS+: Go Beyond Transport to Optimize Cost, Service, & Resiliency

Today’s question becomes: How do you leverage data to automate and optimize across the full order lifecycle? We outline how the TMS+ breaks down silos to optimize across inventory, transport, logistics, and order management concurrently, intelligently, and in a timely and relevant manner for cost, service, risk, and sustainability.

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Discover 4 Use Cases for Applying AI to Your Recruiting Processes

Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!