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6 Ways AI Empowers End-to-End Decision Automation in Supply Chain

Logistics Viewpoints

Consequently, everyone asserts they are utilizing AI, and those in the supply chain world are no exception. How will it address “the world hunger problem” in supply chains, particularly in the context of supply chain planning? How can AI contribute to end-to-end decision automation?

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The Power of Predictive Analytics in the Supply Chain

Enterra Insights

One of the early tools used by soothsayers was the crystal ball. They spend enormous sums on planning and forecasting technologies. One of the most recent tools being adopted by businesses is predictive analytics. Predictive analytics plays an essential role in the digital era. ”[2].

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The Three Types of Supply Chain Analytics

The Smart Software

In this video blog, we explore the critical roles of Descriptive, Predictive, and Prescriptive Analytics in inventory management, highlighting their essential contributions to driving supply chain optimization through strategic foresight and insightful data analysis.

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Supply Chain AI Strategy: Navigating Apparel Industry Complexities

Logility

Navigating the $5 trillion North American apparel market requires precision, especially when dealing with the intricate complexities of forecasting and inventory management. This approach is significant, especially considering a Deloitte survey that found 79% of companies with efficient supply chains see better revenue growth.

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The Role of Digitisation and Analytics in Supply Chain Resilience

The Logistics & Supply Chain Management Society

The Role of Digitisation and Analytics in Supply Chain Resilience. by Dr Shereen Nassar – Global Director of Logistics Studies and Supply Chain Management Programmes Heriot-Watt University Dubai. Digital Supply Chain to Drive Resilience.

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Why a Modern BI Platform is Needed for Predictive Analytics

Silvon Software

Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. Without a solid BI backbone, predictive analytics will be limited in its ability to yield accurate projections of future business performance.

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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. Fortunately, with the advent of artificial intelligence (AI), demand forecasting software has undergone a significant transformation.