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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.

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Order Visibility Is Critical Amid Low Inventories

Logistics Viewpoints

But shippers looking to avoid disruptions and ensure that tight inventory levels don’t lead to missed sales opportunities pulled their orders forward. As companies look ahead to the next three to six months, they’re weighing costs, risks, and demand as they plan and adapt their inventory strategies.

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Transportation Metrics That Matter Most to Track and Improve Performance

GlobalTranz

Creating a data-driven supply chain tracking important transportation metrics helps shippers respond and adapt as quickly as possible to known and unknown events. Why Monitor Transportation Metrics. Actionable data is one of the most critical business drivers.

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The Case for Real-Time Perpetual Inventory Signals in Manufacturing

ToolsGroup

Suddenly, managing inventory is the name of the game for companies trying to manage working capital and maximize profit while keeping customers happy. With crystal clear, up-to-the-minute, and accurate data that enables organizations to see what’s happening across their entire supply chain and take smart, decisive action.

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Solving the $1.8 Trillion Inventory Distortion Problem with Karl Swensen

The Logistics of Logistics

trillion distortion inventory problem. Trillion Inventory Distortion Problem In this podcast, Karl Swensen, CEO and Co-founder of Pull Logic, discusses how their AI-enabled technology helps retailers, brands, and manufacturers reduce lost sales by addressing supply chain and selling process failure points. Summary: Solving the $1.8

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Editor’s Choice: AI in Supply Chains: Which Data is ‘Just Right’ for Your Business?

Logistics Viewpoints

Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.

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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.