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Flexibility in the Face of Uncertainty

Freightos

Most recently, the recent disruptions in the Red Sea that saw ocean freight rates from China to Europe by over 190% and saw transit times lengthen, sea-air services offered a strategic advantage for logistics professionals able to remain agile, by watching trends and jumping at opportunities to ensure a resilient supply chain.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

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Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

article thumbnail

Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

article thumbnail

TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle. These major areas of the challenge include: Scalability to shift productivity levels and focus on meeting current market trends and consumer demands.

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PODCAST: Modern Courier Delivery Compliance Considerations: Understanding SOX and SOC Compliance

The Logistics of Logistics

As companies attempt to manage more diverse supply chains and transportation networks, keeping up with data compliance can become an overwhelmingly complicated task. Reduces operational costs by defining and automating data collection and management processes, and developing analytic tools to provide insights into trends and inefficiencies.