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The Improvement Kata and DMAIC

The Lean Thinker

I have read the books, I have worked as a Quality Director in a company with a lot of Six Sigma background, and I have done a lot of continuous improvement work with people who had Six Sigma context. That being said, this is a brief overview of what the Improvement Kata is about, not a comprehensive reference.

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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Limitations of Traditional Supply Chain Planning Traditional supply chain planning relies on retrospective analysis. Amazon is a leader in AI-driven supply chain management.

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The Ultimate Guide to Fleet Management: Strategies to Control and Optimize Your Processes

3PL Links

Image source: iStocks | The Ultimate Guide to Fleet Management: Strategies to Control and Optimize Your Processes Investing in a fleet management system results in an improvement in internal processes, which directly reflects the quality of the service provided to the end customer.

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Infor Analyst Innovation Summit 2025: A Look at the Future of Industry Cloud

Logistics Viewpoints

Together, they presented the vision for the future and innovation priorities. Innovation Pillars: Diagnose: primarily powered by Infor Process Mining, this capability helps organizations gain visibility into business processes, uncover non-conforming variants, identify critical bottlenecks, and optimize operations based on data.

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No Balloons Needed: Practical Moves to Navigate Tariff Volatility

Logistics Viewpoints

The company, heavily invested in Canadian manufacturing, faced a crisis because its raw materials were sourced from outside North America, disqualifying it from USMCA tariff exemptions. Design product flexibility to include materials sourced for US and non-US markets or quickly adapt to different sources of materials.

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Edge Computing in Logistics: Enabling Real-Time Data Processing Closer to Operations

Logistics Viewpoints

Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency. Data security at the edge also presents risks. Optimizing AI models for edge hardware is another area of difficulty.

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How Machine Learning Optimizes the Supply Chain

TransAudit

Machine learning, at its core, is a technology that allows systems to learn from experience, improve predictions, recommendations, and decisions over time. It advances digitization efforts, facilitates data cleaning, and streamlines supply chain planning, procurement, and execution.