Remove Metrics Remove Sourcing Remove Supply and Demand
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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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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

(The planning team was defending the status quo without questioning current practices and how to improve them.) The question was, “How can I redefine demand planning processes to use channel data?” Their question was, “Why were consumer products companies not using retail data to drive demand processes?”

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Demand Planning Software – Top 3 Demand Forecasting Mistakes to Avoid

Logility

Top 3 Demand Forecasting Mistakes —How To Avoid Them with Demand planning software Demand forecasting is a critical facet of successful business operations, acting as the helm guiding companies through the rocks hiding beneath the water of market demands. What is Demand Forecasting?

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Recommendations towards a Resilient S&OP

Logistics Viewpoints

While the terminology evolved, the underlying thesis of S&OP has stayed the same, i.e., bridge the divide between sales forecasts and operational plans while respecting the budget. Then the process was put to test in recent times, as increasing demand and supply side shocks caught companies flatfooted.

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Quick Start Guide to Using Machine Learning for Demand Planning

ToolsGroup

Anyone who has done demand planning knows it is extremely complex, with forecasting challenges and rapidly shifting consumer demand, often exacerbated by seasonality, new product introductions, promotions, and myriad causal factors (e.g. Data Variety The more different types of data sources you factor in (e.g.