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Empowering a Greener, Smarter Future in Logistics Through AI

MTS Logistics

Artificial Intelligence (AI) is transforming logistics and supply chain management, driving an era of heightened efficiency, innovation, and sustainability. Self-driving trucks and drones, a rapidly developing facet of AI in logistics, streamline delivery operations, addressing labor shortages and reducing reliance on human drivers.

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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.

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The State of Freight with Anne Reinke

The Logistics of Logistics

Anne is the President & CEO of Transportation Intermediaries Association (TIA) , the trusted voice for third-party logistics companies of all sizes. Established in 1978, TIA has consistently demonstrated its commitment to fostering excellence and innovation within the logistics and transportation sector.

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DHL Group acquires CRYOPDP from Cryoport to strengthen “DHL Health Logistics”

Logistics Viewpoints

DHL to acquire 100% of CRYOPDP, a leading specialty courier providing logistics services for clinical trials, biopharma, and cell & gene therapies. This acquisition enhances DHL’s capabilities in specialty pharma logistics and supports Group’s 2030 strategy to become a leader in life science and healthcare logistics.

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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!

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Ethical Considerations in Supply Chain Compliance

Logistics Viewpoints

For example, using AI-powered tools to optimize logistics can reduce energy consumption and enhance sustainability. By transitioning to renewable energy sources, companies can significantly reduce greenhouse gas emissions while meeting regulatory requirements and enhancing their corporate image.

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Edge Computing in Logistics: Enabling Real-Time Data Processing Closer to Operations

Logistics Viewpoints

As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Traditional cloud-centric architectures, which depend on centralized processing, may not meet speed and / or reliability goals needed to support operational needs at scale.