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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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Supply Chain Predictive Analytics: Benefits, Use Cases and Growth Potentials

ThroughPut

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

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How to Predict the Unexpected and Mitigate Supply Chain Disruption with AI

QAD

Artificial intelligence (AI) is one of the big “buzzwords” of 2024, which is a shame because the technology’s analytical capabilities have a lot to offer supply chain planners – if you can cut through the hype. Predictive analytics, demand planning and business forecasting have always been core functions for supply chain planners.

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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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Data Analytics: The Secret Ingredient to Efficient Inventory Management

RFgen

Inventory drives the supply chain, ensuring the right amount of stock is available in the right place at the right time. That’s why most inventory handlers leverage data. The role of data analytics in optimizing inventory management processes has become increasingly important. Enter automated data collection.

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Big Data, Analytics, and Industry 4.0

Enterra Insights

The BCG analysts explain, “Today, another workforce transformation is on the horizon as manufacturing experiences a fourth wave of technological advancement: the rise of new digital industrial technologies that are collectively known as Industry 4.0.” So, it’s not a question of if but when AI will become the norm in the manufacturing sector.

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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. With companies producing more and more products worldwide, the issue of keeping track of enormous amounts of parts and materials used in the manufacturing process has grown increasingly complex.