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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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How to Predict the Unexpected and Mitigate Supply Chain Disruption with AI

QAD

Artificial intelligence (AI) is one of the big “buzzwords” of 2024, which is a shame because the technology’s analytical capabilities have a lot to offer supply chain planners – if you can cut through the hype. Predictive analytics, demand planning and business forecasting have always been core functions for supply chain planners.

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Is It Safe to Share 2022 Predictions for Manufacturing?

QAD

After the last two years, it’s no surprise that some might be hesitant to make predictions about the state of manufacturing, supply chains and digital transformation for the new year. But two of our senior experts wanted to weigh in by sharing their 2022 predictions in VMblog’s 14 th annual predictions series.

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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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How VR, 3D Printing & Predictive Analytics in the IOT are Currently Powering the Manufacturing Industry

GlobalTranz

Newer technologies have created entirely new methodologies for improving manufacturing, and the outlook is brighter than ever. So, let’s take a look at how our predictions for the first four manufacturing technology trends (Predictive analytics, 3D Printing, and VR) to watch for in 2016 stacked up.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.

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Big Data, Analytics, and Industry 4.0

Enterra Insights

The BCG analysts explain, “Today, another workforce transformation is on the horizon as manufacturing experiences a fourth wave of technological advancement: the rise of new digital industrial technologies that are collectively known as Industry 4.0.” So, it’s not a question of if but when AI will become the norm in the manufacturing sector.