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Fleet Management 2.0: The Rise of Connected Vehicles in Global Supply Chains

Logistics Viewpoints

The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance. Predictive maintenance further optimizes operations by flagging potential issues before they lead to breakdowns, minimizing repair costs and downtime.

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A Trillion Dollars in Freight Transactions with Ken Adamo

The Logistics of Logistics

Ken is the Chief of Analytics at DAT Freight & Analytics. About Ken Adamo Ken Adamo serves as the Chief of Analytics at DAT Freight & Analytics. Prior to his career in logistics, Adamo worked in pricing and analytics at a deregulated energy provider.

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How To Implement Predictive Analytics Into Your Company

Logility

Chances are, if you’re in marketing, sales, or one of the more technical aspects of business, you’ve used predictive analytics in some part of your job. But your company doesn’t have to be a retail giant to use predictive analytics. using predictive analytics?built Predictive Analytics in a Nutshell.

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The Three Pillars of Sustainability in Supply Chain and Logistics: A Strategic Guide

Logistics Viewpoints

Technologies such as artificial intelligence, IoT, and predictive analytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs. This pillar is about creating value, reducing risks, and positioning the organization for long-term success.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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DAT IQ: The Metrics that Matter with Samuel Parker

The Logistics of Logistics

Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Samuel is Director of Product Marketing at DAT Freight & Analytics ‘ Shipper segment. About Samuel Parker Samuel is the Associate Director for DAT Freight & Analytics’ Shipper segment. He lives in Denver, Colorado with his wife and son.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

For instance, advanced factory scheduling solutions use predictive maintenance inputs, which rely on sensor data to forecast equipment failures. Data fabrics need to work across an AI and Analytics lifecycle. Not all the transactional data, just the data required to calculate a metric or make a decision.