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Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain?

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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

In traditional advanced planning applications (APS) for a manufacturing company, the forecasting model’s role is to generate a time-series forecast in the tactical horizon (outside of lead time). (An In traditional planning taxonomies, the tactical forecast is modeled, and the operational signal is calculated using consumption logic.

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The Fallacy of the Self-driving Supply Chain

Supply Chain Shaman

” As I dipped my spoon into some scrumptious chestnut soup at a great restaurant, my companion asked, “With the advancements in optimization and self-learning, aren’t we close to having self-driving supply chains?” There is no magic ball on design: the organization’s reporting structures vary by culture and size.

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Supply Chain Resilience. Really?

Supply Chain Shaman

Source: Supply Chain Insights ASCM defines resilience in the SCM Supply Chain Dictionary as the ability of a supply chain to anticipate, create plans to avoid or mitigate, and to recover from disruptions to supply chain functionality. Improve visibility across the networks that operate in self-serving business models.

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So You Want to Make the Perfect Logistics Model

Logility

Why do we build logistics models? But I ask it because modeling often takes a detour into the land of debilitating detail. And by debilitating, I mean an enormous analytical time sink — think months. I am often asking clients whether they wish to: A) Model the precise general ledger costs for logistics?

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Lifting The Gray Curtain

Supply Chain Shaman

As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. Using Analytics In the World of Gray.

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Navigating the Future: How Advanced Supply Chain Analytics is Transforming the Industry

ThroughPut

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.