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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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4 Tips For Better Process Manufacturing Planning and Forecasting

Logility

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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How AI is transforming manufacturing Part 2: Inventory management

SYSPRO Smarter ERP

Manufacturers have incurred significant financial losses due to supply chain disruptions and the subsequent inventory management challenges. With companies producing more and more products worldwide, the issue of keeping track of enormous amounts of parts and materials used in the manufacturing process has grown increasingly complex.

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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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Top 3 challenges facing manufacturers and how to overcome them

SYSPRO Smarter ERP

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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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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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?