GlobalTranz

JANUARY 17, 2017

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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SCMDOJO

APRIL 4, 2023

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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ToolsGroup

FEBRUARY 16, 2022

BOSTON, February 16, 2022 : ToolsGroup , a global leader in supply chain planning and optimization software, has partnered with Planalytics to integrate their weather-driven demand (WDD) analytics with ToolsGroup’s retail planning solutions, enabling customers to isolate, measure, and manage the influence of weather on their businesses.

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Global Trade Management

DECEMBER 11, 2023

Introduction Supply chains are the lifeblood of any business, serving as the vital link between suppliers, manufacturers, and end consumers. This newsletter will explore how analytics can revolutionize supply chain management, mitigating risks and enhancing operational efficiency.

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Enterra Insights

APRIL 21, 2021

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.

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GlobalTranz

JULY 26, 2016

Analytics has been a buzzword in recent years. Everyone seems to be clamoring to get on the big data and analytics train. To guarantee your business’s success in the modern supply chain, you need to understand a few things about analytics in distribution and manufacturing.

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Supply Chain Matters

JANUARY 17, 2024

The Ferrari Consulting and Research Group through its affiliate the Supply Chain Matters blog shares excerpts of our fifth prediction that will be included in our Annual 2024 Predictions for Industry and Global Supply Chains Research Advisory. In this posting, we share excerpts of our fifth prediction.

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Enterra Insights

APRIL 6, 2021

The late philosopher Eric Hoffer and the late business guru Peter Drucker shared a common belief about the difficulty of predicting the future. Hoffer wrote, “The only way to predict the future is to have power to shape the future.” Drucker wrote, “The best way to predict the future is to create it.”

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SYSPRO Smarter ERP

APRIL 17, 2023

The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. In this blog post, we will explore how manufacturers can leverage this technology to achieve data-driven success. This enables managers to take swift action and keep production on track.

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Logility

DECEMBER 29, 2020

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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Logility

OCTOBER 18, 2022

Prior to the pandemic, efficiency meant just-in-time manufacturing, but disruptions exposed the flaw in this approach. It’s an undeniable mess, and while you can’t always predict supply chain disruptions, it doesn’t mean you can’t be better prepared, with disruptions big and small now an accepted inevitability.

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Logility

DECEMBER 28, 2020

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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Logility

OCTOBER 29, 2021

With the right technology, process manufacturing strategy, planning, and management can be simplified. Manufacturers have been through a trial by fire with supply chain disruptions and changes in demand during the past two years. 4 Digital Solutions That Address the Top Challenges for Process Manufacturers.

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Supply Chain Game Changer

JUNE 2, 2022

Industry 4.0 , sometimes also called the fourth industrial revolution , is a trend of data exchange and automation in changing manufacturing and manufacturing technologies. have created opportunities for manufacturers to use the massive amounts of data they collect to monitor and improve the quality of their products.

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Logistics Viewpoints

APRIL 5, 2023

ARC Advisory Group, where I work, publishes an analysis of the 25 manufacturers with the most mature digital transformations. Ninety-one percent of respondents are digitizing data and processes collectively; but, only 31 percent are using predictive analytics and 26 percent are using artificial intelligence.

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SYSPRO Smarter ERP

JULY 3, 2023

Using artificial intelligence (AI) in manufacturing can significantly improve productivity, reduce equipment failure, increase production efficiency and help identify new business opportunities. The area of AI that manufacturers need to explore to drive their factories into the future is machine learning (ML). The Industry 4.0

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River Logic

MARCH 10, 2020

According to Supply Chain Digital Magazine, many manufacturers are falling behind with more than two-thirds of them being unable to provide data-driven analytical information to support their business decisions.

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OptiProERP

NOVEMBER 22, 2023

With 2024 on the horizon, more manufacturers are adopting smart manufacturing technology. It is helping them capture benefits across the entire manufacturing value chain. Examples of intelligent factories include on-demand manufacturing and virtual inventories.

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QAD

MARCH 11, 2024

In food manufacturing and the food supply chain, AI technologies are revolutionizing operations, enhancing efficiency, improving quality control and ensuring food safety. AI systems can predict equipment failures, allowing proactive maintenance and minimizing downtime. AI offers innovative solutions to tackle these issues.

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QAD

OCTOBER 4, 2023

What is Supply Chain Analytics and Why is it Important? Supply chain analytics allows businesses to examine their operations and view data in real-time. With supply chain management analytics software, companies can improve decision making, take a proactive approach and quickly mitigate issues before they explode into bigger problems.

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ThroughPut

DECEMBER 8, 2023

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

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Silvon Software

AUGUST 8, 2022

Supply chain challenges stemming from the pandemic and other global events continue to plague manufacturing and distribution companies. To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance.

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ToolsGroup

DECEMBER 10, 2019

Against this backdrop, our 2020 predictions represent insights from across the ToolsGroup community for technology and practices that support greater supply chain resilience. Deriving value from huge volumes of data depends on being able to separate signals (which have predictive value) from ‘noise’. Data analytics will get simpler.

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The Logistics of Logistics

OCTOBER 30, 2023

Richard is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. About Richard Lebovitz Richard Lebovitz is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. Richard previously founded and led Factory Logic, Inc. acquired by SAP). The Greenscreens.ai

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River Logic

MAY 11, 2016

As manufacturing companies become increasingly complex and begin leveraging more data, the role of advanced analytics in business planning processes is slowly becoming a necessity. Gartner's 2016 CEO Survey shows that 54% of CEOs claimed that their top strategic priority for the year was business growth.

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SYSPRO Smarter ERP

APRIL 18, 2022

These ongoing disruptions mean manufacturers and distributors must navigate challenges while rapidly addressing the needs of their people, customers, and suppliers. With reliable data from ERP manufacturers and distributors can use data analytics to respond to challenges. Digitalization to thrive into the future.

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E2open

AUGUST 30, 2016

The Power of Predictive Analytics. The use of predictive analytics is rising. According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey , the use of predictive analytics will double by 2018, with 46% of companies planning to use advanced analytics to sense and shape demand within the next two years.

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E2open

AUGUST 30, 2016

The Power of Predictive Analytics. According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey , the use of predictive analytics will double by 2018, with 46% of companies planning to use advanced analytics to sense and shape demand within the next two years. Tuesday 30 August 2016.

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Enterra Insights

JANUARY 17, 2019

Nevertheless, over the past few years there have been some significant changes in the manufacturing sector, including the maturation of additive manufacturing and the emergence of the Internet of Things (often referred to as the Industrial Internet of Things (IIoT)). Manufacturing trends. ”[1] Those arguments still hold.

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SYSPRO Smarter ERP

NOVEMBER 1, 2021

The manufacturing industry confronted many uncertainties in the last year due to the pandemic. The pandemic has led to many shifts in manufacturing including new challenges to overcome. Here is a list of challenges and solutions for manufacturers to remain resilient and maintain growth momentum. Transitioning to B2B e-Commerce.

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Enterra Insights

JANUARY 18, 2024

Predicting the Future. Making predictions can be a fool’s errand; however, AI tools are making the cloudy crystal ball a bit clearer. Mario Mirabella , CEO of MSM Digital, writes, “AI-powered predictive analytics enables us to harness the power of data and uncover valuable insights that can drive business success.

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RFgen

MAY 16, 2023

The role of data analytics in optimizing inventory management processes has become increasingly important. Analytics help organizations make smarter decisions, reduce costs, and improve customer satisfaction. But your analytics is only as good as the underlying data. That’s why most inventory handlers leverage data.

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AIMMS

JULY 19, 2017

Best of our Blog: 3 compelling reasons to start using Prescriptive Analytics : AIMMS’ SVP, Gertjan de Lange, discusses 3 major reasons businesses are feeling more compelled to adopt Prescriptive Analytics, a form of advanced analytics that uses techniques like machine learning and mathematical modeling to help you improve decision making.

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Supply Chain View from the Field

DECEMBER 16, 2013

I visited the BVL Kongress in Berlin, and also attended the International Institute for Analytics ”Chief Analytics Officer” meeting last summer. We just finished hosting over 150 executives at our Supply Chain Resource Cooperative, with a theme on Supply Chain Analytics.

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Unleashed

OCTOBER 31, 2023

It’s an essential process for achieving maximum success in manufacturing. Effective implementation of workforce optimisation strategies ensures you have the valuable workforce resources you need for the growth of your manufacturing operations. Greater efficiency WFO practices improve manufacturing efficiency and eliminate waste.

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ThroughPut

DECEMBER 5, 2023

Demand forecasting is the process of predicting future demand for a product or service, which helps businesses plan and allocate resources effectively. By accurately predicting future demand, businesses can better prepare for potential disruptions, such as supply chain disruptions, natural disasters, or changes in consumer behavior.

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Enterra Insights

DECEMBER 12, 2019

Manufacturers have historically found themselves at the cutting edge of technological advances. It’s surprising, then, to read stories encouraging manufacturers to jump aboard the Digital Age technology bandwagon. ” He noted, “Each of these technologies will fundamentally change how products are manufactured.”

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