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Supply Chain Data Management: Making Data Make Sense for Supply Chain Planning

Logility

Managing the data required for supply chain planning is a bit like raking leaves. The data keeps coming all year round. And just when you think you have clean and consistent data to work with, new internal and external data “blows into the yard.”. Wind speeds will increase.

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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?”

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Five Reasons Why Are We Not Making Progress on Inventory Management

Supply Chain Shaman

At the session, we discussed why companies have not made more progress on inventory management. In the case of Apparel and Automotive industries there are slight improvements, but they have shifted inventories to suppliers. Days of Inventory Pre and Post-Recession. We share this data in Figure 3. ” Figure 3.

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Inventory Management vs Product Information Management (PIM)

Supply Chain Game Changer

What is Product (or Master) Data Management? The following Product Information Management (PIM) article was written by guest author Alex Borzo, a content contributor at Amber Engine , a software company passionate about eCommerce. There is a way to aggregate, organize and clean-up data without all the manual toil.

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Big Data, Analytics, and Industry 4.0

Enterra Insights

1] The fourth revolution is being driven by data. He observes, “For many manufacturing and supply chain organizations, the Covid-19 pandemic highlighted multiple shortcomings in their data management strategies. ” Data and Advanced Analytics in Industry 4.0 Industry 4.0 revolution. In fact, it already is.”

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2024: Planning for Success Amid the Uncertainty

Logistics Viewpoints

Logistics and inventory management rounds out the top four focus areas at 82 percent. Other critical functions include order management, manufacturing, and product development. Logistics In line with the past several years, inventory management continues to be the top focus area in logistics.

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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. Companies struggling to manage their supply chains often lack data for decision making, have siloed systems and inefficient inventory management practices.