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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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Supply Chain: Cash or Trash with Seth Page

The Logistics of Logistics

Tech pioneer and founder providing deal flow origination for angels, venture capital firms, corporations and family offices in diverse yet interconnected areas including Industrial AI, IOT, Artificial Intelligence, Machine Learning, Data Science, Operations Technology, Enterprise, Telecommunications, Security & Access Control.

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Validated, Real-Time Visibility for Pharma with Josh Allen

The Logistics of Logistics

Tive‘s solution provides data generated by its industry-leading trackers allowing clients to actively optimize their shipments, improve their customers’ experience, and unlock supply chain insights in an actionable real-time manner. Biocair case study. Optimize Courier case study. Mercury case study. Josh on LinkedIn.

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Industry 4.0: Building the right skills to meet the factory of the future

SYSPRO Smarter ERP

A meeting between two pioneers during a cocktail party in 1956 turned out to be a defining moment in the world of manufacturing. Of course, robotics does not tell the full story, as the world of manufacturing has evolved even further over the last few decades, with the rise of data and smart, autonomous systems. The post Industry 4.0:

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Freight brokerage software: why brokers need SaaS freight tech with real-time data

FreightWaves SONAR

“What’s the best way to use data to beat your competition as a freight brokerage business?” Nevertheless, it all adds up to a greater demand for integrated systems and real-time data. Furthermore, real-time data and SaaS-based resources have additional value in the form of enabling management by exception.

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Why you don’t need perfect data to start implementing S&OP

AIMMS

Often, teams think they also need plenty of clean and accurate data to do it right. He gathered and looked at the data and would produce a forecast based on previous experiences. He was changing forecasting data upon verification but also based on gut feel. Then we’ll have a more consistent way of getting our data.

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The New Definition of Supply Chain Agility and Resilience in an Unpredictable World

Logistics Viewpoints

The hyper-focus on meeting customer expectations is also creating pressures upstream in the supply chain, as manufacturers extend visibility and collaboration beyond their own walls to avoid any disruptions. To meet customers’ growing expectations for personalized offerings, the typical company’s product lines have grown exponentially.