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Case study

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

  • Learn in these use cases how industry leaders can vastly improved their planning an decision-making with AI/ML forecasting

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Lands’ End
Scandinavian Tobacco Group
Nutreco
Blue Buffalo
New Balance
Electrical Components International
Pepperl+Fuchs
Amway
Comcast
Lands’ End
Scandinavian Tobacco Group
Nutreco
Blue Buffalo
New Balance
Electrical Components International
Pepperl+Fuchs
Amway
Comcast
Trusted by leaders across industry verticals

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

Our use cases dive deep into the following topics:

Our use cases dive deep into the following topics:

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 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

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

Assess the potential impact of AI/ML forecasting on your business using our use cases

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