Remove Eliminating Excel in Purchasing Remove Information Remove Inventory Remove Predictive Analytics
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Dancing in the Ring of Fire

Supply Chain Shaman

Each executive has a different perspective on the definition of supply chain excellence, but they are never discussed and aligned. His organization purchased an advanced planning technology from well-known best of breed provider, and the implementation should have been successful, but it was not. What Is The Ring of Fire?

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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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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.

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Demand Forecasting Software: Demystifying AI

Logility

Demand forecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. Smart Data Analysis: AI algorithms excel at handling large amounts of data , such as sales history, market trends, and customer behavior.

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Do Digital Your Way. Sidestep the Supply Chain Conquistadors

Supply Chain Shaman

In the process, there is a fine line between marketing hype and overpromising, making buying difficult. It combines robotics, analytics, and the Internet of Things (IoT). McKinsey promises improved agility (not defined) with up to a 30% reduction in operational cost and a decrease in inventory of 75%. (I Digitalization.

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From Predictions to Operations: Compelling Supply Chain AI Use Cases

ThroughPut

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.

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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. ” Her answer was telling.