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Why manufacturers should integrate business intelligence tools into their ERP software

SYSPRO Smarter ERP

Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? How much does it cost us to manufacture this product? The power of business intelligence for manufacturers. Mid-market manufacturers need a tool that’s tailored to their needs.

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Supply Chain Normalcy? Think Again.

Supply Chain Shaman

For organizations layered in functional metrics and driving a cost agenda, this is a tough nut to crack. During the pandemic, companies struggled with planning systems turning off the optimizers, and using the technology as a system of record. Steps to Take Here are three steps to take: Adaptive Modeling.

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Top Solutions for Supply Chain Agility

Logistics Viewpoints

A multi-enterprise supply chain network platform provides network-based order fulfillment applications and/or advanced network-based supply chain risk analytics. Many-to-many can also refer to many participants in a network accessing many, many sources of event data critical to supply chain operations through a public cloud network.

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Dispelling Untruths: 10 Generative AI Myths

Logility

As a member of Logility’s research and development team with a specialization in generative AI, I have a front row seat to witness the rapid expansion of artificial intelligence technology. In this blog, I‘ll address 10 common generative AI myths to demonstrate the value of this exciting technology. trillion parameters.

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Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains

The Logistics & Supply Chain Management Society

These activities involve numerous stakeholders, such as suppliers, manufacturers, distributors, and retailers. With its ability to derive insights from vast amounts of data and derive insights, generative AI has emerged as a valuable tool to optimize supply chain operations. Generative AI is all about scale.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Logility

How can manufacturers manage disruption and improve productivity? By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Therefore, manufacturers must continually look for new ways to improve the productivity and profitability of their operations.

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Outside-in Process Q&A

Supply Chain Shaman

Over the next five weeks, seventy business/technology and consulting leaders will complete the course. Can you describe the outside-in model? Based on the work with Georgia Tech, we are getting clear on which metrics matter by industry. Most of the models are supply-centric with no place to put channel data.

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