Remove Inventory Remove Metrics Remove Supply and Demand
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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.

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How Can You Improve Value in Your Supply Chain?

Supply Chain Shaman

I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.

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Aligning Supply Chain Metrics to Improve Value

Supply Chain Shaman

In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. ” Let’s face it all supply chains have error.

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What Does Good Look Like S&OP?

Supply Chain Shaman

Let me start by saying that t he process is not a panacea to solve all supply chain ills. For most companies, building a great S&OP process is a missed opportunity. For me, there are ten characteristics that define a great S&OP process: Clear and Actionable. S&OP is a business process.

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Make Room for Leadership to Drive S&OP

Supply Chain Shaman

In my recent Mea Culpa post, I mentioned my prior work on Sales and Operations Planning (S&OP), and the importance of leadership. Leadership and S&OP? If you have walked in the shoes of the supply chain leader, you are probably laughing by now. Is your plan feasible? Sounds easy, right?

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Managing Supply Chain Planning in the World of Scarcity

Supply Chain Shaman

Historically, supply chain leaders managed supply chains in a world of abundance. There are many factors: war, supply shortages, climate change, labor (knowledge and availability), and shifts in governmental regulation. The waste included: Negative Forecast Value Added (FVA) in demand planning. Inventory Health.

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The Bumpy Road to Building Outside-in Processes

Supply Chain Shaman

Neil’s post in response to my post of Driving Value From Outside-in Planning : In her post, ‘Driving Value from Supply Chain Planning’, Lora Cecere provides great supply chain analysis and benchmarking for her supply chains to admire. Supply chain leaders love shiny objects.

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