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Get your demand planning and forecasting game on

Kinaxis

by Alexa Cheater Outplay your competition with a smarter, stronger demand planning strategy. Customer demands are changing. So why isn’t your demand planning strategy? It’s time to level up your demand planning and experience revolutionary breakthroughs in supply chain performance, planning and profitability.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

Demand planning engines have natural feedback loops that allow the forecast engine to learn. Since ML began being used in demand forecasting in the early 2000s, ML has helped greatly increase the breadth and depth of forecasting. The computer is then presented with those images.

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No Time Like the Present

Supply Chain Shaman

While demand is cooling from the overheated state of the last 20 months, history is not a good predictor of demand, making traditional demand planning techniques useless. Demand continues to be uneven and unpredictable. For me, there is no time like the present. Consumer spending remains above 2019 levels.

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Blue Yonder’s Key Takeaways  from the 2024 Gartner® Supply Chain Planning Summit

BlueYonder

AI took center stage — for both its strategic and execution value Noha Samara, Senior Director Analyst at Gartner, delivered a powerful keynote address called “Reimagining the Role of Supply Chain Planning: The Rise of Decision Shapers.” One of those inspiring stories was presented by HEINEKEN.

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Context. The Key to Unlocking the Power of Your Supply Chain Data Strategy

Logistics Viewpoints

Seeing Signals Through the Noise In supply chain planning, separating the signal from the noise is paramount. Planners need the right information at the right time, presented with the proper context, to make meaningful decisions. To break through the noise requires context.

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Reactive to Resilient: Future-Proofing Supply Chains with Intelligent Demand Planning

o9 Solutions

This article is a shortened version of themes & topics discussed in our newest Demand Planning Core White Paper. Demand planning has long been a requisite of supply chain management, but in a modern, high-speed environment, it’s become something more: a strategic lever for agility, and competitive advantage.

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The Secret to Success with Machine Learning in Supply Chain Management

ToolsGroup

This disconnect between AIs potential and real-world adoption presents a significant opportunity for companies to gain a competitive edge, especially in supply chain management where uncertainty is the norm. Combining machine learning with probabilistic demand planning. The secret?