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Advanced Supply Chain Planning with Probabilistic Forecasting

ToolsGroup

In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization.

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Probabilistic Demand Forecasting: Revolutionizing Supply Chains

ToolsGroup

At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supply chain management software. Like betting that a champion racehorse will win a specific race, this “single-number” forecast assumes one definitive result.

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks.

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Improving Demand Forecast Accuracy with Machine Learning

ToolsGroup

Improving demand forecast accuracy is crucial for supply chain success. Traditional demand forecasting methods often fall short, resulting in inefficiencies, excess inventory, and lost revenue. Unlike static demand prediction models, AI-driven forecasting adapts over time, leading to improved demand forecast accuracy.

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The Current and Future Use of Gen-AI in Supply Chains

From demand forecasting to inventory optimization, risk mitigation to sustainability — AI is set to transform everything. It’s a must-read for forward-thinking procurement and supply chain leaders looking to harness the power of AI to achieve transformative results. AI isn’t the future. It’s here, now.

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Demand Forecasting: A Complete Guide to Supply Chain Excellence

ToolsGroup

Demand forecasting has evolved dramatically in recent years. Businesses have shifted from supply-focused approaches to demand-driven models, yet many still struggle to balance accuracy with agility. Traditional forecasting methods often fail under high variability, leading to excess costs, stockouts, and obsolescence.

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Demand Forecasting: A Complete Guide to Supply Chain Excellence

ToolsGroup

Demand forecasting has evolved dramatically in recent years. Businesses have shifted from supply-focused approaches to demand-driven models, yet many still struggle to balance accuracy with agility. Traditional forecasting methods often fail under high variability, leading to excess costs, stockouts, and obsolescence.

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5 Perceptions on Demand Forecasting and How it's Changing

Speaker: Brian Dooley, Director SC Navigator, AIMMS

Is your demand forecasting process evolving with the times? Are you satisfied with your level of forecast accuracy? This webinar shares research findings from a recent survey among supply chain planning professionals and delves into the following: Who is typically responsible for forecasting?

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No More Hide & Seek for Supply Chain Uncertainty: How to Manage Variability

As unavoidable variability adds more complexity to your supply chain, this guide shares the effects of uncertainty on businesses and explores ways to alleviate uncertainty & increase manageability through greater forecast accuracy.

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The 2023 Supply Chain Crystal Ball: Challenges and Solutions

Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst

The supply chain management techniques that dominated the last 30 years are no longer supporting consumer behavior or logistics and manufacturing capabilities. You'll learn more about: Trending supply chain tech investments to consider. Forecasting techniques to manage inventory. So what’s working now?

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Machine Learning: A Quantum Leap in Forecast Accuracy for the Modern Supply Chain

Whether you realize it or not, Machine Learning is having a profound impact on your everyday life.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

Difficulty forecasting demand due to constant supply chain disruptions. Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company.

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Key Questions for a Successful Distribution Network

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

As we plan for the world of eCommerce and the customer expectation of quick, free shipping, our ability to forecast is turned on its head. Join Irina Rosca, Director of Supply Chain Operations at Helix and an experienced global supply chain strategist, as she walks through the key questions to a successful and efficient distribution network.

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Overcoming the Accuracy vs Agility Trade-Off in Demand Planning & Forecasting

Agility and accuracy don’t necessarily need to be at logger heads. In-fact, anticipatory agility enabled by AI and Machine Learning can move the accuracy frontier forward in terms of validity and consistency driving significant business value.

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The 4 Keys to Demand Planning in 2023 and Beyond

Speaker: Eva Dawkins - Senior Consultant, Supply Chain

The last three years have been a rollercoaster ride for most supply chains, filled with volatile unpredictability and frequent disruptions. We know technology improvements can improve supply chain operations and add significant value for companies even in turbulent times.