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Supply Chain Shaman
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About Lora Cecere

Lora Cecere is the Founder and CEO of Supply Chain Insights , the research firm that’s paving new directions in building thought-leading supply chain research. She is also the author of the enterprise software blog Supply Chain Shaman. The blog focuses on the use of enterprise applications to drive supply chain excellence. Her book, Bricks Matter, published in December of 2012.

As an enterprise strategist, Lora focuses on the changing face of enterprise technologies. Her research is designed for the early adopter seeking first mover advantage. Current research topics include the digital consumer, supply chain sensing, demand shaping and revenue management, market-driven value networks, accelerating innovation through open design networks, the evolution of predictive analytics, emerging business intelligence solutions, and technologies to improve safe and secure product delivery.

She comes to the stage with over thirty years of diverse supply chain experience. She spent nine years as an industry analyst with Gartner Group, AMR Research, Altimeter Group and is now the founder of her own firm Supply Chain Insights. Prior to becoming a supply chain analyst she spent fifteen years as a leader in the building of supply chain software at Manugistics and Descartes Systems Group, and twenty years as a supply chain practitioner at Procter & Gamble, Kraft/General Foods, Clorox, and Dreyers Grand Ice Cream (now a division of Nestle).

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Recent Posts

Is your Supply Chain AI Ready?

June 11, 2026 No Comments

A simple quiz to assess an organization’s AI readiness.

The pace of change is fast and furious. Every day, technology advances faster than we can digest. A great challenge to have.

Determining whether a supply chain is “AI-ready” is less about technology and more about the gray matter between the ears of supply chain leaders. Leadership, alignment, and clarity of goals matter.

Too few companies are clear on the definition of supply chain excellence. Measuring and rewarding functional metrics reduces the firm’s value. Putting agentics on top of today’s processes can make bad practices run faster, reducing value.

The toughest job for the supply chain leader is challenging existing supply chain paradigms that were defined by the limitations of decades of supply chain technologies. As the curtain lifts on the potential of new forms of technology, process redefinition is our opportunity, but only if we are clear on what drives value. (Here, I link to the Supply Chains to Admire reports to help you define value. The next report will be published on June 23rd, along with my Dynamic Benchmarking Product, to help you define value in the face of your AI readiness. More information about the launch is at the bottom of this blog.)

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Case Study: A Scrappy Demand Management Approach

June 9, 2026 No Comments

This study of Franklin Sports shines a light on the work that needs to be done at the sales account level to challenge a retail forecast, and also highlights the importance of a new technique for a forecast engine — reinforcement learning.

Artificial intelligence comes in many forms — large language models, generative AI, machine learning, unstructured text mining, deep learning, neural networks, reinforcement learning, agents, and agentics. While the industry is wigging out about agentics, I think reinforcement learning is a great step forward in the journey of Artificial Intelligence.

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Can We Side-Step the AI Spin Cycle?

June 7, 2026 No Comments

When it comes to combining tech, 1+1+1 should equal more than 1. The impact should be exponential. Unfortunately, today, the answer is 0.

What do I mean? Let me explain.

I find that the supply chain technology market moves slowly along traditional technology lines. Conferences are usually focused on the use of technology, not on redefining work. This bothers me. I want it to bother you as well.

Here I share some insights to drive change.

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