Use case

Can AI/ML forecasting help improve your forecast accuracy rapidly?

Yes it can, learn in these use cases how industry leaders have achieved this.

Download these use cases to learn from industry leading companies who have implemented o9’s AI powered forecasting capabilities

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Across Industries

Learn how o9’s AI powered software has improved the forecasting capabilities of companies across industries.

What you will find in these use cases

Discrete Manufacturing

How o9 leveraged machine learning to improve the OEM forecast by 10 percentage points for a major global automotive supplier?

Life sciences

How the forecast accuracy improved by 10 percentage points using leading indicators of demand for a global consumer health company?

Consumer Products

How o9 improved forecast accuracy by 5-8 percentage points for a major global food producer? 

Retail

How over 230+ demand drivers were used to improve forecast accuracy leveraging machine learning algorithms for one of the largest Canadian retailers?

Consumer Products

How o9 improved forecast accuracy by 5-8 percentage points for a major global food producer? 

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Aimlforecasting usecases

Let us ask you the following questions:

  • Is connecting leading indicators of demand with your internal enterprise data proving challenging?
  • Is your current forecasting process on a weekly/monthly cycle and only supported with lagging indicators driving statistical forecasts?
  • Are forecast accuracy issues causing a lot of friction between Finance, Sales and Supply Chain?
  • Are you not sure if you have the right data to use ML/AI Forecasting?

Do these questions sound familiair to you? Then find out how your peers have overcome these challenges.

Download use cases