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Demand Forecasting Software: Demystifying AI

Logility

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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Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

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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How to Improve Forecast Accuracy

Arkieva

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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Understanding ‘Forecastability’ and How to Generate Better Forecasts

CHAINalytics

Getting better statistical forecasts involves choosing the right technology, applying multiple forecast optimisation techniques, and a continuous improvement approach. This blog post is the second part of a Chainalytics’ Integrated Demand and Supply Planning practice five-part series on improving statistical forecasting.

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Melitta: Collaborating for an Improved Forecasting Process

ToolsGroup

Melitta Sales Europe (MSE) embarked on an initiative to revamp existing planning and forecasting processes to increase efficiency and sustainability. MSE’s prioritization of its close internal collaboration strengthens the precision of its forecasts, ensuring a more robust S&OP process. A Perfect Brew. Read Case Study.

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Baby Formula Deficit: Unfortunate Lessons in Demand Forecasting

Logility

The need for more resilient supply chains and better demand forecasting was becoming more essential. With the rise of companies looking to implement AI into their supply chains, more accurate forecasts are within reach. What is Driver-Based Forecasting for Demand Planning? But how did we get here in the first place?

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Supply Chain Forecasting with AI

ThroughPut

In the ever-evolving landscape of global commerce, businesses face a significant challenge: the pain of inaccurate forecasts and the relentless pace of market conditions. The agitation stems from the financial loss and operational inefficiencies accompanying these inaccurate forecasts. AI in supply chain forecasting is a game-changer.