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How Manufacturers Can Leverage AI & Analytics For Strategic Decision-Making

Silvon Software

Across the globe, manufacturing businesses are navigating economic uncertainties with increasing sophistication. Critical to guiding them through today’s fluctuating markets is the accuracy and actionable intelligence derived from data. DOB” and “Date of Birth”).

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Harnessing Data Analytics to Fuel Business Growth

Silvon Software

Data stands as the cornerstone of the global economy, offering significant leverage to businesses poised for expansion. However, data alone lacks intrinsic value. Without analytical tools and methodologies, navigating through vast amounts of data can be overwhelming.

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Freight Procurement is a Different Game

Logistics Viewpoints

Procuring transportation for freight is much different than any other procurement category. Transportation procurement needs to support both customer service and a company’s internal supply chain goals. One master of freight procurement is Kyle Masters. Simmons Foods Simmons Foods is a farm to fork poultry manufacturer.

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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

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6 challenges facing medical device manufacturers and how ERP analytics can provide a cure

SYSPRO Smarter ERP

As members of one of the most highly regulated industries in the world, medical device manufacturers face numerous challenges. From stringent quality standards to comprehensive documentation requirements, Class 1 and 2 manufacturers must navigate a complex landscape to ensure compliance and product excellence.

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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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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”