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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.

Coty
Gildan
T-Mobile
Roland
M. Dias Branco
Skechers
Mango
Scandinavian Tobacco Group
Olympus
ExxonMobil
Dish
Groupe SEB
Coty
Gildan
T-Mobile
Roland
M. Dias Branco
Skechers
Mango
Scandinavian Tobacco Group
Olympus
ExxonMobil
Dish
Groupe SEB
Coty
Gildan
T-Mobile
Roland
M. Dias Branco
Skechers
Mango
Scandinavian Tobacco Group
Olympus
ExxonMobil
Dish
Groupe SEB

UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES

    [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.

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
Discover our platform

Live Demo with an o9 Expert

Get a personalized walkthrough with an o9 solution specialist and see how to drive faster, smarter planning decisions across your enterprise.

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Take a Tour

See how the o9 Digital Brain unifies planning, forecasting, and execution through AI-driven intelligence.

what customers say

Driving Real
Enterprise Value

Anheuser-Busch InBev

"What really exceeded my expectation was the level of collaboration and engagement that o9 brought to the team. 400+ salespeople, managers, and directors log in to the tool, enrich the forecast, and then collaborate with our supply chain planning team."

Rodrigo Rodrigues

Vice President of Logistics

The Estee Lauder Companies Inc.

"We had a significant reduction in expedited costs. Our target was 4 to 6 million dollars. And we achieved close to 9 million dollars…"

Jay Koganti

Vice President of Supply Chain COE

Amway

"With o9 AI/ML-based forecasting in place, we’re already seeing improved forecast accuracy, stronger cross-functional collaboration, and faster, more informed decision-making—all within a centralized platform."

Gaby Gutierrez

VP of Global Supply Chain Planning

featured insights

Related Resources
& White Papers

Use Cases

Explore in-depth
o9's Demand Planning Use Cases

Demand Planning

Modular end-to-end planning platform that unifies collaborative forecasting, advanced AI/ML, and cross-functional scenario planning

DP - Demand Sensing

Demand Sensing

Rapidly identify short-term trends and market shifts to accurately predict what consumers want, when and where.

DP - NPI Planning

NPI Planning

Optimize your product portfolio range with Advanced Segmentation, Analytics, and Scenario Planning capabilities.

industries

Tailored to 

every industry

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.