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ROI in Supply Chain: Achieving Rapid Value with ThroughPut AI in Just 90 Days

ThroughPut

In the aggressively competitive digital era, Artificial Intelligence (AI) is one of the few technologies that has immense potential to revolutionize business operations, outcomes and revenue alike. With the constantly evolving, disruption-prone nature of the supply chain space, executives are demanding quick insights, decisions and action.

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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

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. What Is Prescriptive Analytics in Supply Chain? How Prescriptive Analytics Has Been Driving Value In Supply Chain Optimization?

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Supplier Quality Management: What it is, 5 Key Metrics to Know & a 4 Step Supplier Evaluation Process

GlobalTranz

Editor’s Note: This is the first in a three-part series on Supplier Quality Management processes and how to evaluate your suppliers from Chuck Intrieri of The Lean Supply Chain. Therefore, it is paramount for you as a logistics and supply chain professional to have a keen sense of how to properly evaluate a supplier.

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Supply Chain Case Study: the Executive's Guide

Supply Chain Opz

Professionals in supply chain management use various methods to identify best practices to improve the operations. In order to accelerate the learning, this article has gathered 20+ most sought-after supply chain case studies, analyzed/categorized them by industry and the findings are presented.

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How Machine Learning Is Redefining Supply Chain Management

IQMS

Bottom line: Machine learning makes it possible to discover patterns in supply chain management data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks’ success, while constantly learning in the process. How Machine Learning Is Redefining Supply Chain Management.

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Tracking Fixed Assets Across the Modern Supply Chain

RFgen

Common enterprise asset management challenges include inaccurate data, lack of visibility, timeliness, costly downtime and inability to scale. Modern asset tracking software can drive operational efficiency and oversight, even across dispersed geographies. Inaccurate Data. Fixed assets may include: Vehicles. Electronics.

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6 Manufacturing Trends You Need to Know

Arena Solutions

The global manufacturing sector has seen an upswing, a technological renaissance of sorts. 4 Due to their low cost and simple design, cobots are also becoming widely used in supply chain management. Big data The use of big data is increasing in manufacturing. Breaking it down In the U.S. 3 What’s the allure?