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

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

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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 familiar to you? Then find out how your peers have overcome these challenges.

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Across Industries

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

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

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

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