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Supply Chain Planning

AI-Driven Supply Chain Planning Software for Enterprises

Stop value leakage and accelerate cross-functional decisions with o9.

Amorepacific Corporation
Anheuser-Busch InBev
Asian Paints
Berger Paints India Limited
Blue Buffalo
Canadian Tire
Caterpillar
Citizen Watch America
Comcast
Crocs
Deckers Brands
Amorepacific Corporation
Anheuser-Busch InBev
Asian Paints
Berger Paints India Limited
Blue Buffalo
Canadian Tire
Caterpillar
Citizen Watch America
Comcast
Crocs
Deckers Brands
Amorepacific Corporation
Anheuser-Busch InBev
Asian Paints
Berger Paints India Limited
Blue Buffalo
Canadian Tire
Caterpillar
Citizen Watch America
Comcast
Crocs
Deckers Brands

UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES

    How to Take Control of Supply Chain Complexity

Capabilities

Why Leaders Choose
o9 Supply Planning

  • Unified Data Model Across Horizons

    Unlike legacy solutions that bolt execution tools onto disconnected planning engines, o9 is built on a unified data model. This single source of truth enables smooth transitions between planning horizons and supports structured and semi-structured inputs with varying levels of detail and frequency.

  • Flexible, Enterprise-Grade Solvers

    o9 leverages a diverse suite of solvers — including heuristics, linear programming, mixed-integer programming, and third-party solvers — to model complex supply chain networks with precision. This flexibility allows organizations to address planning problems that standard, out-of-the-box solutions cannot handle

  • Touchless Automation Engine

    AI monitors plan adjustments, corrects data deviations automatically, and reduces manual intervention across routine planning decisions.

  • Extended Value Chain Network Modeling

    Incorporates Tier 1 and Tier 2 supplier capacities and lead times into planning to proactively mitigate upstream risks.

  • Operational Execution and Scenario Planning

    o9 supports operational execution through integrated order promising, prioritization, and drag-and-drop production scheduling. Robust scenario planning enables organizations to simulate alternative supply and demand conditions, evaluate constraints, and understand cost and service impacts before committing.

  • Highly Customizable User-Friendly Platform

    Modular design, intuitive UI, and built-in collaboration tools to support planners across industries.

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.

Discover the platform

Take a Tour

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

featured insights

Related Resources
& White Papers

use cases

Explore in-depth o9's
Supply Planning Use Cases

SCP - Supply Chain Master Planning

Supply Chain Master Planning

SCP - Supply Chain Control Tower

Supply Chain Control Tower

SCP - Supply Chain Analytics

Supply Chain Analytics

SCP - Production Schelduling

Production Scheduling

SCP - Multi-echelon inventory Optimization

Multi-Echelon Inventory Optimization (MEIO)

industries

Tailored to 

every industry

FAQ
Supply Planning

Most legacy planning tools were built for a more stable era and are typically fragmented by function and time horizon - meaning a six-month forecast, a constrained supply plan, and a daily production schedule may each operate from different data sets and assumptions.

o9 is built on a unified data model, so all planning horizons share the same data and assumptions. This creates a single source of truth, enables smooth transitions between strategic and operational planning, and eliminates the manual handoffs that lead to excess inventory, missed revenue, and unfulfilled customer commitments.