Supply chain is where the rubber hits the road. For a public company, over 40% of market capitalization is tied to the trade-offs between growth, operating margin, inventory management, and Return on Capital Employed.
The road for supply chain improvement is fraught with issues. Here we share some and offer some advice.
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.
Where is the Beef? is now a colloquialism. The phrase started as a line in an advertisement in 1984 for Wendy’s hamburgers. I remember sitting
The populist narrative of supply chains focuses on sourcing ignoring the impact of historic practices that are no longer best practices creating waste and inefficiencies.
What metrics should supply chain leaders use to drive value? Here we answer this question and share a metrics hierarchy for consideration.
Reflection and restatement of formerly held beliefs of supply chain management by Lora Cecere.
A discussion on data latency and distortion and why it should come first before defining the supply chain architecture.
When I was a teenager, I spent afternoons after school with my dad. As he lost his vision to macular degeneration, he taught me to
A short post on the current state of supply chain planning. The what, the so what and the struggle with solving the business problem today.
In a recent blog post, I was challenged by Anna. She wrote, “I have been working in the supply chain for 35 years, and we
