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Why a Modern BI Platform is Needed for Predictive Analytics

Silvon Software

Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. The quality of data, including its accuracy, completeness, and timeliness, directly impacts the reliability of predictive outcomes.

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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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The Top 5 Skills Every Procurement Manager Needs

Precoro

More and more companies are acknowledging the importance of centralizing and optimizing their procurement operations. One of the ways to accomplish this is to establish a procurement team to streamline ordering by centralizing purchases and improving supplier relations. What are the duties of a procurement manager?

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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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Procurement and Supply Chain are Smarter Together – Practical Use Cases

Logistics Viewpoints

In a previous post , I made a case for how the Chief Supply Chain Officer (CSCO) and Chief Procurement Officer (CPO) are smarter together. Accordingly Supply Chain and Procurement will need continuous collaboration. Such sourcing events can be in the context of direct materials or logistics capacity.

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Using data and AI to improve manufacturing

SYSPRO Smarter ERP

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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Top 6 Retail Trends & Supply Chain Planning Challenges in 2023

Logistics Viewpoints

Continuing Disruptions in Transportation and Sourcing Materials After the pandemic, retailers are faced with new challenges and disruptions due to global conflicts, trade restrictions, and now recessions. They are more likely to shop for discounts and sales and may delay purchases of some items.