white paper

How Industry Leaders Improved their Forecast Accuracy with AI/ML Forecasting

Read our use cases and understand how industry leaders achieved more accuracy in planning.

PROVEN VALUE DELIVERY ACROSS 30+ INDUSTRIES

In these case studies, you’ll learn:

Industrial Manufacturing
How the use of ML algorithms improve the OEM forecast of a major global automotive supplier by 10 percentage points.
Life Sciences
How forecast accuracy at a global consumer health company improved by 10 percentage points when using leading indicators of demand.
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 ML algorithms for one of the largest Canadian retailers.

“Digital technologies make amazing things possible. We are driving innovations that will transform the art and science of management for decades to come, and that is exciting.”

Chakri Gottemukkala

CEO and Co-Founder at o9

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Why AI/ML?

What are your challenges when connecting leading indicators of demand with your internal enterprise data?
Is your current forecasting process on a weekly/monthly cycle and only supported with lagging indicators driving statistical forecasts?
Are your forecast accuracy issues causing friction between Finance, Sales and Supply Chain?
How do you know if you have the right data to use AI/ML Forecasting?