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4 Steps to Skyrocket Your Demand Forecasting Accuracy

Logility

In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. Yet, despite its significance, demand forecasting continues to be a thorny issue for many businesses, particularly manufacturers. What is Demand Forecasting Accuracy? Let’s get started!

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How AI-led Demand Forecasting Helped Church Brothers Farms Optimize Order Fulfillment

ThroughPut

Click to Download Case Study About Church Brothers Farms Church Brothers Farms is a leading vertically integrated, family-owned, US-based vegetable producer, supplier, and processor that prioritizes customer experience and provides the highest quality produce in an increasingly competitive and volatile market.

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Essential Guide for Demand Forecasting in 2024

ThroughPut

Demand forecasting is a critical component of supply chain management, especially in the complex and unpredictable market landscape of 2024. Accurate forecasts are essential for maintaining inventory balance, ensuring customer satisfaction, and achieving financial stability. What is Demand Forecasting?

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This Week in Logistics News (September 2 – 8)

Logistics Viewpoints

Earlier this morning I was thinking about something different, yet interesting to discuss in the intro paragraph of this week in logistics news. I am looking for good quality beer crafted to remove gluten. And now on to this week’s logistics news. Then it occurred to me, why not talk about what I want to discuss? So I will.

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Autonomous Business Planning Is Not Only Possible, It Has Already Been Achieved

Logistics Viewpoints

This allows the system to learn and improves the quality of the engine’s output. Further, the journey to autonomous planning does not rely on a highly accurate forecast. “I I have not cared for 20 years”, Mr. Bakkalbasi states with force, what level of forecast accuracy is achieved. Forecasting is not an actionable item.”

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Spare Parts to Profits: Strategic Inventory Mastery

ToolsGroup

Moreover, maintaining optimal service levels while balancing inventory costs is a delicate act that requires sophisticated forecasting and inventory management techniques, underlining the importance of advanced spare parts management solutions.

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

Logistics Viewpoints

2) AI-Infused Data Quality Assurance Ok, we built the proverbial highway. In tech speak, this means effective AI-driven decision-making based on high-quality and internally consistent data. Consequently, AI-based data diagnostics capabilities have been developed to maintain data quality continuously.