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.

UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES

In this case study you’ll learn

Turning External Signals Into Predictive Power
How combining internal data with external drivers like promotions, weather, and market data leads to better demand predictions.
Aligning Forecasts Across The Organization
How a single AI-driven forecast improves alignment between demand, commercial, and financial plans.
Moving Beyond Spreadsheet-Based Forecasting
Why legacy, Excel-driven forecasting limits accuracy and scalability - and how AI replaces it.

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

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.

whitepaper

AI/ML Forecasting: Future-Ready Thinking with o9's Digital Brain™

Forecasting, the lifeblood of an organization, has the critical role of being able to predict the future, mitigate risks, and capitalize on emerging opportunities. However, this process is being heavily impacted by the acceleration of these and other demand drivers.

This White Paper will examine how next-generation technologies such as Machine Learning (ML) and Artificial Intelligence (AI) can significantly improve a business’ forecasting accuracy, ensuring it survives and thrives rather than being left behind.

Learn more