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Using Big Data to Drive Manufacturing Sales: 3 Big Takeaways from the USMTO Reports

GlobalTranz

The United States Manufacturing Technology Orders (USMTO) data report is compiled monthly by the Association for Manufacturing Technology (AMT). What is the USMTO Data Report? The full data set is reported by eligible equipment builders and distributors and is provided to all participants in the program at no cost.

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Taking a Big Picture View of Supply Chain Networks

Logistics Viewpoints

To actually realize the promise of end-to-end visibility and control over our incredibly complex supply chain networks, we need really big picture thinking — particularly when it comes to the supply chain data networks that serve as the foundation for true digital transformation. Numbers matter when it comes to supply chain data networks.

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Automatic Replenishment: Everything You Need to Know

Conger

Automated inventory replenishment uses technology and real-world data to automatically manage reorder levels. This tracks each product or material’s level and gives the auto-replenishment solution real-time data on inventory levels. But it requires accurate data and can be more complex to implement. Here's how it works: 1.

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Aptiv takes a global approach to mobility

Automotive Logistics

Underpinning this approach will be a global transport management system (TMS), which Richards is responsible for implementing, as well as developing an enterprise visibility tool with predictive analytics for freight movements around the world. “We Richards says the system has been a success and is completely rolled out in North America.

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MIT’s Sheffi on Supply Chain Sustainability

247 Customs Broker

. Sheffi starts, for example, with the extreme pressures coming from non-governmental organizations (NGOs), notably Greenpeace, about which one environmentalist says “When Greenpeace reaches for its toolbox, it tends to find only one tool, and that’s a mallet.” Marketing Director, Inovity.

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Will Robots Take All the Supply Chain Jobs?

247 Customs Broker

An off-cited analysis from McKinsey in late 2017, for example, found automation could destroy as many as 73 million US jobs by 2030, about one third of all jobs in the country. The documentation can be useful historical data for any future endeavor. That is quite a different matter. Marketing Director, Inovity.