Forecasting Related Topics 
Logility
NOVEMBER 20, 2023
While traditional forecasting methods have served us well, they often fall short when addressing the evolving challenges of today’s dynamic business landscape. In this article, we’ll explore the fusion of AI-first forecasting with traditional models and its immense value to the supply chain.
Logility
SEPTEMBER 1, 2023
Demand forecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. However, traditional forecasting methods often fall short in accuracy. Fortunately, with the advent of artificial intelligence (AI), demand forecasting software has undergone a significant transformation.
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Logistics Viewpoints
MARCH 27, 2023
When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!
Logility
JUNE 23, 2023
That’s precisely what demand forecasting feels like for many businesses today. Enter causal forecasting. Unfortunately, many companies hesitate to use causal forecasting, thinking it’s too complicated or resource-hungry. What is Causal Forecasting? That’s where causal forecasting comes into play.
Speaker: Gertjan de Lange
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Not being able to envision various organizational scenarios means you won't be able to navigate them, leaving you dead in the water.
ToolsGroup
JUNE 29, 2020
Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. Why is new product forecasting important?
The Logistics & Supply Chain Management Society
NOVEMBER 22, 2022
Your Sales Plan is NOT a Forecast! That was an absurd leap to make, I know, but no more absurd than using the terms “sales plan” and “sales forecast” interchangeably in a retail setting. ” “Reconciling” the Plan and the Forecast. – William Hazlitt (1778-1830). Nor should it.
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!
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Get exclusive insights about Demand Forecasting. AIMMS conducted research to assess how supply chain teams perceive the accuracy of their forecast and discover the tools and techniques they are using to upgrade the forecasting process. Perceptions on forecast accuracy. Most common techniques and technologies.
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.
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