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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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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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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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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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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. AI isn’t the future. It’s here, now. 30% of businesses have invested in AI. Another 57% will do it in the next 12 months*.

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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Beyond simply improving forecast accuracy, todays ML-powered demand forecasting software uncovers hidden supply trends, anticipates pricing fluctuations, and enables proactive supply chain planning decisions. Five Ways Advanced Machine Learning in Demand Planning Is Improving Forecasting 1.

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How to Optimize Demand Forecasting: Probabilistic Solutions

ToolsGroup

But many supply chain practitioners dont realize that the most common approach to supply chain planningusing a demand-driven forecast as the primary input to future planningis just as outdated. Forecast Accuracy vs. Uncertainty Uncertainty-driven demand forecasting assumes that accuracy is an ongoing challenge.

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Automated Order Processing and Proactive Inventory Management

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

Companies should have seamless integration between order entry, inventory management, forecasting and supply planning models and purchase order status to sense risk, pull levers to mitigate potential risk, and communicate within and outside the organization.

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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. If we're going to offer the speed of shipping and variety of inventory that today's customers have come to expect, there are a lot of different questions that need to be asked.

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The 2023 Supply Chain Crystal Ball: Challenges and Solutions

Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst

Forecasting techniques to manage inventory. In this webinar, you’ll gain actionable insights from Olivia Montgomery as she walks us through Capterra’s extensive research on how businesses - notably SMBs - are addressing supply chain challenges in 2023. You'll learn more about: Trending supply chain tech investments to consider.