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Staying Ahead with Advanced Analytics in Supply Chain Management

Logility

With improving machine learning and artificial intelligence capabilities, advanced analytics are shifting, becoming a more attractive option to leaders across industries. But how can you incorporate advanced analytics into your supply chain flow? What Are Advanced Analytics? What Are the Benefits of Advanced Analytics?

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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. How is AI Improving Supply Chain Management? I’m never one to jump on the bandwagon with emerging technologies.

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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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Using Advanced Analytics to Improve Your Sourcing Outcomes

EC Sourcing Group

Advanced analytics exceeds standard business intelligence (BI) using state-of-the-art technology and tools to create data asset information and real-time statistics. These diagnostic analyses help businesses predict market trends, optimize global supply chains, to make quicker, strategic decisions to pursue financial opportunities.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.

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Just-In-Time Management – How to Manage Inventory in 2024

ThroughPut

The Just-In-Time inventory management approach revolutionized manufacturing forever. What is Just-In-Time (JIT) Inventory Management? Its central mission is to curtail inventory expenses and amplify operational efficiency by timing the receipt of goods to coincide with their actual need in the manufacturing cycle.

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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. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain?