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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.

Clarios
Summit Materials
M. Dias Branco
CooperVision
Urban Outfitters
Acuity Brands, Inc.
Bass Pro Shops
Envu
Philips
Fonterra
Microsoft
DS Group

PROVEN VALUE DELIVERY ACROSS 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.
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