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Leading Inventory Attack Teams with Richard Lebovitz

The Logistics of Logistics

Richard Lebovitz and Joe Lynch discuss leading inventory attack teams. Richard is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. About Richard Lebovitz Richard Lebovitz is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization.

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Is it too Early For 2022 Predictions?

Logistics Viewpoints

With Christmas goods in stores before Halloween this year, I thought there was no reason that we shouldn’t also get a jump on 2022 predictions. Online buying will fuel home delivery growth, challenges and new strategies. This is clearly an opportunity and challenge for retailers and last mile logistics companies.

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What are Digital Twins and How Can They Drive Warehouse Efficiency?

Logistics Viewpoints

In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Inventory management Another area where digital twins can be beneficial is inventory management.

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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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Navigating the Future: How Advanced Supply Chain Analytics is Transforming the Industry

ThroughPut

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.

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Logistics Software: How to Make Handling Peak Times Easy

Logistics Viewpoints

Transparent data prepared especially for your logistics operation will get you easily through your peaks. The hype usually revolves around just one item and can easily be managed by a modern logistics system. Here, it’s extremely difficult to predict which sales volume will be reached for which goods. Peaks are all so different.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.