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This Week in Logistics News (May 13 – 19)

Logistics Viewpoints

But doing so requires technology that is capable of analyzing data and patterns in order to predict what products will be in demand and where, and this is where AI comes into play. The audit determined that CPW emitted 1.2 million tons of greenhouse gas emissions in 2018, a result that will serve as the baseline for measuring progress.

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What You Need To Know About The State Of The Retail Worker Shortage

ToolsGroup

For example, according to a recent PwC survey, acquiring and maintaining talent is one of the top two risks for business executives. Source: Bloomberg.com. Forecasts by Korn Ferry cited that by 2030, more than 85 million jobs might go unfilled as there won’t be enough skilled people to fill them.

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Building Outside-In Processes

Supply Chain Shaman

While traditional supply chain processes evolved from functional excellence definitions for source, make and deliver from the inside-out; to make the digital pivot and become more market-driven, companies need to define new supply chain processes outside-in. Economic Vision of Supply Chain 2030. 2) Market-Driven Forecasting.

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7 Supply Chain Technology Trends Set to Disrupt Supply Chains in 2017 and Beyond

Arkieva

The push will be for manufacturers to get better about analyzing disparate data sources, sensing demand, actually predicting market drivers, and responding quickly and precisely to enhanced customer expectations throughout 2017. Big Data Analytics. In fact, according to IDC, by 2018, 27.8% in revenue up from $22.6B Start Now.

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Ultimate Guide To Technologies That Are Transforming Supply Chains

The Logistics & Supply Chain Management Society

Should supply chain delays occur, companies can more easily identify the source of bottlenecks and take action to improve processes. According to PricewaterhouseCoopers, AI’s potential contribution to the global economy by 2030 is USD15.7 Advanced and predictive analytics.

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Real-World Impacts of Artificial Intelligence

Enterra Insights

On the other hand, Jonathan Vanian ( @JonathanVanian ) reports, “Artificial intelligence is so important for business success, [surveyed] executives said … that most of them fear their companies will fail without it.”[1] ” In other words, if you want to benefit from AI, those benefits begin by identifying the right data sources.

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Real-World Impacts of Artificial Intelligence

Enterra Insights

On the other hand, Jonathan Vanian ( @JonathanVanian ) reports, “Artificial intelligence is so important for business success, [surveyed] executives said … that most of them fear their companies will fail without it.”[1] ” In other words, if you want to benefit from AI, those benefits begin by identifying the right data sources.