Forecasting Related Topics 
ToolsGroup
APRIL 17, 2025
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.
ToolsGroup
MARCH 31, 2025
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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ToolsGroup
MARCH 19, 2025
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.
ToolsGroup
MARCH 31, 2025
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.
Advertiser: GEP
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*.
ToolsGroup
MARCH 25, 2025
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.
ToolsGroup
FEBRUARY 12, 2025
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approach to supply chain planningusing a demand-driven forecast as the primary input to future planningis just as outdated.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.
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? How are demand forecasts evolving?
Advertiser: ZoomInfo
Every sales forecasting model has a different strength and predictability method. Your future sales forecast? It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Sunny skies (and success) are just ahead!
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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Whether you realize it or not, Machine Learning is having a profound impact on your everyday life.
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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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Artificial intelligence designed for demand planning brings the following benefits: Immediate forecast error reduction of 15-40%: this drives optimal service & stock levels. No onboarding time since the models are self-tuning: say goodbye to long & costly implementation times.
Speaker: Eva Dawkins - Senior Consultant, Supply Chain
Join us for this exclusive webinar with Eva Dawkins as she dives into research behind demand planning and forecasting for supply chain success. However, to pull this off, companies must first establish crucial supporting people processes - in particular, planning processes.
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. How many distribution centers do we even need, and is that number feasible? Can we use historical data to plan for demand and design our networks, or is there a better way?
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