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A new frontier for forecast accuracy

The Network Effect

At some point most forecasting methods will hit the law of diminishing returns where the forecast accuracy will tend to flatten out, regardless of the formulae or analytics that are applied. If you’re impatient though, I suggest you read the new white paper, What is Demand Sensing? Part one is here. .

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Accuracy and transparency. Let’s take a closer look at each one.

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Dancing in the Ring of Fire

Supply Chain Shaman

However, improving order-to-cash is cycles for both timing and accuracy is important to the Chief Financial Officer, so Anne is getting funding and attention. Through data analysis help the team understand the trade-off (the effective frontier) and the need for a clear definition of supply chain excellence.

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How Does Machine Learning Improve Supply Chain Performance?

Logility

Rather, it’s improving our individual and collective ability to make faster, better decisions by leveraging increased speed, accuracy and absence of bias. The expert user interacts with data, reports, and forecasts. The Influence of New and Emerging Technologies. The Next Frontier. The User Experience.

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AI Blind Spots? Here’s What Retailers May Miss About Artificial Intelligence

BlueYonder

A new survey by Blue Yonder found that almost all retail executives feel confident in their command of AI. Take one of the most powerful AI tools: predictive AI, which allows you to understand customers better and improve forecasting. And just 16% applied AI to improve the accuracy of their estimated ship dates.

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Why?

Supply Chain Shaman

Companies are stalled on improving customer service and forecast accuracy. It comes in many flavors–increase in inventory, changes in sales policies, new product lines– all add to the complexity. Most companies are surprised when we share their results on the Supply Chain Effective Frontier. 5) Alignment.

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Changing the Status Quo to Stay Ahead of the Amazon Effect

Logility

Planning teams face multiple dilemmas including promoting and supporting top line growth, containing cost, efficiently managing on-going operations and finding new ways to drive innovation. The Inventory Efficient Frontier shows that, for any status quo, it will always cost more to achieve higher service levels.

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