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AI/ML Forecasting

AI/ML Demand Forecasting Software for Enterprises

AI/ML Demand Forecasting on the o9 Digital Brain applies advanced machine learning, multi-model ensembles, and Forecast Value Add (FVA) to generate accurate, explainable, and resilient forecasts in highly volatile environments.

Enza Zaden
Constellation Brands
Navico Holdings
Molson Coors
The Mosaic Company
RHI Magnesita
Mango
Bass Pro Shops
Skechers
Citizen Watch America
IVECO Group
Ralph Lauren Corporation
Enza Zaden
Constellation Brands
Navico Holdings
Molson Coors
The Mosaic Company
RHI Magnesita
Mango
Bass Pro Shops
Skechers
Citizen Watch America
IVECO Group
Ralph Lauren Corporation
Enza Zaden
Constellation Brands
Navico Holdings
Molson Coors
The Mosaic Company
RHI Magnesita
Mango
Bass Pro Shops
Skechers
Citizen Watch America
IVECO Group
Ralph Lauren Corporation

UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES

    [guide]

    The Complete Guide to Strategic Demand Planning 2026

    Forecasting is the first step. Learn how to transform predictions into precise actions.

Key Differentiators

Why Leaders Choose o9’s AI/ML Forecasting Software

Forecast volatility is now the default. Post-pandemic disruptions, pricing shocks, promotions, weather events, and rapid channel shifts routinely distort demand patterns and erode the reliability of traditional time-series methods.

  • Model Tournaments & Ensemble Forecasting

    Continuously evaluate statistical, machine learning, and AI forecasting models to identify the best-performing approach by product, channel, and horizon. Ensemble forecasting combines multiple models to improve forecast accuracy, resilience, and adaptability in changing market conditions.

  • Advanced Feature Engineering

    Automatically incorporate demand drivers such as pricing, promotions, weather, holidays, and market signals into forecasting models. This helps organizations generate more context-aware forecasts that reflect real business dynamics rather than relying only on historical patterns.

  • Touchless Forecasting

    Automate baseline forecasting at scale while reducing the need for constant manual intervention across large product portfolios. Exception-based workflows help planners focus attention where human judgment delivers the greatest value.

  • Forecastability-Based Segmentation

    Classify products and demand streams based on volatility, intermittency, and seasonality characteristics. This enables organizations to apply differentiated forecasting strategies that are aligned to actual demand behavior.

  • Forecast Value Add Analysis

    Measure whether planner overrides and process interventions improve or reduce forecast quality compared to the statistical baseline. This creates greater transparency into planning effectiveness and supports more trusted automation.

  • Causal & Driver-Based Forecasting

    Use internal and external signals to understand the factors influencing demand changes across products and markets. Driver-based forecasting improves forecast explainability and supports more informed business decisions.

Examples of Business Value
Achieved with o9

Food & Beverage
  • Maintained accurate, real-time inventory visibility, using data-driven forecasting to predict demand.

    60%Reduction in Stock-Outs
  • By rolling out demand planning, supply network planning, multi-echelon inventory optimisation and reverse logistics capabilities.

    +53%Decrease in Inventory Losses
  • Touchless planning - the ability of systems to generate plans that require minimal human intervention.

    70-90%Touchless Planning Adoption
  • Forecast accuracy improved by more than 11 percentage points to 87%, and service levels have reached 99.5%.

    +11%Forecast Accuracy
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See how the o9 Digital Brain unifies planning, forecasting, and execution through AI-driven intelligence.

what customers say

Driving Real
Enterprise Value

featured insights

Related Resources
& White Papers

    The Complete Guide to Strategic Demand Planning 2026

    Forecasting is the first step. Learn how to transform predictions into precise actions.

    A Roadmap to Touchless Planning: Overcoming Challenges and Maximizing Potential


    Touchless planning depends on a tightly connected system of capabilities: high-quality input data, the right level of granularity, advanced AI and optimization engines, and continuous feedback mechanisms.

    These elements work together to generate accurate, explainable, and execution-ready plans, while continuously learning and improving over time.

Use Cases

Explore in-depth
o9's Demand Planning Use Cases

FAQ AI/ML Forecasting

AI/ML demand forecasting uses machine learning algorithms to identify complex patterns and demand drivers that traditional methods cannot capture, continuously learning and adapting as market conditions change.