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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods. These data include information such as types of goods, location, weight, size, origin, and destination.

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Data-driven decision making in manufacturing

SYSPRO Smarter ERP

Data-driven decision making is the process of collecting the data that a company uses, and transforming it into actionable insights. Using data to find patterns, inferences, and insights ensures that your company goals and plans are based on evidence and that decisions made are balanced and objective.

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Data-driven Decisions for Flexible Supply Chain

Logistics Business Magazine

It can equip teams with better, more comprehensive data that can be used to make meaningful business decisions to maximise flexibility and opportunities for growth. Strategic stock management One of the crucial areas in which businesses can leverage data to enhance flexibility is stock management.

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Gideon launches autonomous case picking solution

Logistics Business Magazine

Gideon , the robotics and AI solutions company, has launched Casey, an autonomous case picking and process optimisation solution. The new solution helps companies manage the severe labour shortages and surging e-Commerce demand by automating and optimising manual case picking. Gideon CTO and co-founder. CLICK HERE to watch a video.

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Robots Take Center Stage at MODEX 2024

Logistics Viewpoints

From autonomous mobile robots (AMRs) to collaborative robots (cobots) to industrial robots, robots are transforming the way goods are moved, stored, picked, packed, and shipped. 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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How data kickstarts the supply chain flywheel

FreightWaves SONAR

Let me share an example. This is for a few reasons: There might have been a delay during fulfillment, and the original method picked would actually miss the promise. Small but meaningful at scale: Sometimes orders are canceled, and if you pick a method and print the label up stream, you are wasting money on canceled orders.

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Logistics automation and the vitality of data integrity in supply chain advancement

FreightWaves SONAR

Through data-driven transportation management , carriers can finally become more strategic and tactical, thriving through good and bad times. Achieving that goal hangs on a carrier’s ability to capture meaningful data. Autonomous processes are only as valuable as the data that powers algorithms and decision-making.