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Commercial fleets see high promise in AI and Chat GPT

DC Velocity

Commercial vehicle fleets have a growing appetite for artificial intelligence (AI) technology such as Chat GPT-powered tools in operations, despite the fact that usage remains in its infancy, according to a study from the Wyoming firm EVAI , which provides AI-driven data analytics for fleet management. are very familiar or expert at it.

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How Data-Driven Maintenance Transforms Materials Handling

Logistics Business Magazine

But by implementing data driven maintenance strategies these cost, performance, and environmental impacts can be greatly reduced. An intelligent data-driven approach Maintenance doesn’t have to be this arbitrary. None of this is good for sustainability.

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

Logistics Viewpoints

These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.

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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.

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How AI and BI Empower Lawn, Pest, Cleaning and Security Industries to Harness Their Data for Success

WorkWave

For these companies, maintaining profitability while protecting their margins hinges on operational efficiency and the strategic use of data. Data is critical to managing every dimension of the business. The Importance of Focused Data Not all data is created equal.

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Managing E-Commerce Fulfillment Spikes With Data Analysis

GlobalTranz

This creates a major problem for managing e-commerce fulfillment when orders spike and shippers need to understand how data analysis may help. Disjointed systems and data silos, creating delays in processing and deficiencies in visibility. Lackluster insight into freight spend and poor freight management controls. Download Here.

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AI in Supply Chain Automation: Procurement to Logistics

Logistics Viewpoints

From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. Integration allows seamless transitions from data insights to purchase approvals and execution.