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probabilistic forecasting

Probabilistic Forecasting: Right Fit for Your Business?

By | Demand, Global Supply Chains, innovation, Inventory Management | One Comment

In the design of planning systems, it is important to think through the elements. These include data inputs, data model fit, engines, outputs, visualization, ease of use, workflow/what-if analysis, master data, and integration. The least problematic element is integration. However, and ironically, integration fears drove many decisions in the past decade. A Closer Look at Forecasting Traditionally, companies forecast using history (shipments or orders) as inputs and apply linear regression…

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Different Strokes for Different Folks (to Yield Better Results?)?

By | Demand, Uncategorized | No Comments

This week I spent time in Silicon Valley talking to technology innovators. Disruption in supply chain planning is happening. My angst is that it is not happening faster. We are on a path to reinvent decision-support technologies like supply chain planning. The third act is starting. This will make traditional approaches obsolete. The rate of adoption will be fast for early adopters (next five years), but much slower for conservative…

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