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Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

MODEX 2024, held in Atlanta, Georgia, from March 11 to 14, attracted more than 35,000 attendees and featured over 150 educational sessions, keynote speakers, and networking events. Here are some of the examples that caught our attention. They can also work alongside humans or independently, depending on the task and the environment.

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Fleet Route Optimisation in the Past, Present, and Future

Logistics Bureau

Indeed, the transition has taken place so swiftly that some companies may still need to fully grasp the present or future possibilities to exploit distribution performance as a competitive advantage. Such a system can enable planners to create routes and transmit them directly to drivers via an in-cab display or mobile device.

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Nine Key Steps to Enabling Resilient Supply Chains

Logistics Viewpoints

Now more than ever, organizations must prepare their supply chain for the present and the unknown challenges and opportunities in the future. Integrating external factors like consumer price indexes, GDP trends, climate change, and others into the forecast can improve signaling for supply chain design.

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LogiMAT ’24 Has Your Back

Logistics Business Magazine

Exhibitors from nearly every sector of the industry are coming to LogiMAT 2024 to present their latest products and solutions for ergonomically optimized intralogistics processes, healthy workplaces, and injury prevention. The intralogistics industry has not been spared the ravaging effects of demographic change and labor shortages.

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Supply Chain Visibility: Past, Present, and Future

Talking Logistics

She explained that, “Before we were talking about event management and alerting solutions where you transferred your data into event management systems and tried to generate proactive alerts. Cindi offered a simple example of a company and carrier collaborating on dock scheduling. What new capabilities are on the horizon?

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Predictability in a Time of Uncertainty: Machine Learning in Logistics

Logistics Viewpoints

ML looks into historical data (for example, transit time statistics of carriers) and data from impactful external factors (such as port congestion, weather or holidays) and uses this information to develop more accurate transit time estimates. These can include traffic conditions, port congestion, storms, and holiday closures.

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5 Big Themes from RILA’s LINK2019 Conference

Stord

Retailers are hungry for supply chain innovation Attendees flocked to the innovation showcase stage presentations on Tuesday afternoon to hear companies give five-minute pitches. Roadie presented its “on-the-way” delivery service that uses extra space in passenger vehicles for flexible shipment options.