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Better Ways to Address Trade-Offs with Supply Chain Optimization

Logistics Viewpoints

He had a load full of cotton bales, and while idling away hours at a shipyard watching stevedores load other cargo onto ships he dreamed up containers that transformed global supply chains. Containerization eventually reduced shipping and loading costs by at least 75%.

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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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How To Jump

Supply Chain Shaman

Let’s start with definitions: Self Service Planning: Decision support technologies designed for business leaders to use analytic techniques on a collaborative platform to improve business planning. Outside-in Planning: Modeling based on channel and supply network signals. This week, I was at Informs Analytics Conference.

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13 Important Roles of Data Analytics in Supply Chain Optimization

SCMDOJO

For businesses to succeed, supply chain optimization is essential to succeed. It helps reduce costs, increases efficiency, and can enhance customer satisfaction. Supply chain optimization can achieve this with the help of data analytics. Data analytics helps businesses make data-driven decisions and initiatives.

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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

Improve visibility across the networks that operate in self-serving business models. For example, change the business models so that Ariba must interoperate with GT Nexus, E2Open with Elemica, MPO (Kinaxis) with Nulogy, etc. Maximize the value of the purchase order flow data already in the existing networks. (A

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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.