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Demand Forecasting Software: Demystifying AI


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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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

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!


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Get Started Using Machine Learning for New Product Forecasting


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?

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Don’t Wait to Innovate: 3 Key Benefits of Causal Forecasting


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.

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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? How are demand forecasts evolving?

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Your Sales Plan is NOT a Forecast!

The Logistics & Supply Chain Management Society

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.

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How to Improve Forecast Accuracy


Forecast accuracy is at the top of the list of things that help a business plan better for the future. This blog previews how to improve forecast accuracy. How to Improve Forecast Accuracy was first posted on March 12, 2024 at 8:19 am.

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The Best Sales Forecasting Models for Weathering Your Goals

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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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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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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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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Next-Gen AI-Based Demand Planning: Turn Your Insights Into Accuracy in 1 Day

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.

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The 4 Keys to Demand Planning in 2023 and Beyond

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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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. 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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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.