Supply Chain Master Planning
Turn volatility into a competitive advantage by synchronizing strategy and execution across every supply chain horizon.
Supply Chain Master Planning on the o9 Digital Brain enables organizations to move beyond reactive firefighting toward integrated, data-driven decision-making. By connecting demand, supply, inventory, capacity, and financial considerations in a single planning environment, companies can anticipate disruption, optimize trade-offs, and execute confidently — even in the most unpredictable conditions.
Today’s supply chains operate in an environment defined by constant disruption.
Geopolitical tensions, trade tariffs, climate events, and ongoing talent attrition have increased uncertainty while compressing decision timelines. At the same time, organizations are expected to meet higher service levels, manage working capital more efficiently, and reduce environmental impact.
Many supply chain leaders still rely on legacy planning tools built for a more stable era. These tools are often fragmented by function and time horizon, making it difficult to translate strategic plans into operational action. Long-term decisions fail to hold as they move downstream, while short-term disruptions derail carefully constructed plans.A persistent challenge is the 0–12 week decision window, where most value is either created or lost. In this horizon, delays, manual handoffs, and missing cross-functional data frequently lead to excess inventory, missed revenue opportunities, and unfulfilled customer commitments.
From Reactive Firefighting to Proactive Planning
As volatility becomes the new normal — from the Suez Canal blockage to global semiconductor shortages — leading organizations are rethinking how they plan. Instead of reacting after disruptions occur, they are investing in unified, data-driven ecosystems that combine data, models, and decision intelligence at scale.
Supply Chain Master Planning enables this shift by aligning strategic intent with operational reality, allowing organizations to sense change early, evaluate trade-offs, and act before disruption becomes costly.
What this solution enables
Synchronized Decision Models
Supply Chain Master Planning connects planning across monthly, weekly, and daily horizons, ensuring that decisions remain consistent as they move from strategy to execution. Plans created in Integrated Business Planning (IBP) flow seamlessly into Supply Chain Master Planning and daily operational planning. By continuously monitoring plan attainment and refining handoff processes, organizations ensure that strategic decisions — such as production plans, inventory targets, and capacity commitments — are respected and maintained across planning horizons.
Extended Value Chain Planning
Modern supply chains extend far beyond the enterprise boundary. o9 provides visibility into first- and second-tier supplier constraints, enabling planners to identify upstream risks before they materialize into shortages or service failures. By modeling supplier lead times, capacities, and dependencies, organizations can proactively mitigate disruption, protect customer commitments, and maintain continuity even when volatility originates deep within the value chain.
Operational Execution and Scenario Planning
Effective planning must translate into executable action.
o9 supports operational execution through integrated order promising, prioritization, and drag-and-drop production scheduling — allowing planners to move directly from analysis to action without switching systems. At the same time, robust scenario planning enables organizations to simulate alternative supply and demand conditions, evaluate constraints, and understand cost and service impacts before committing. This shifts decision-making from identifying merely feasible plans to selecting strategies that deliver the greatest business value.
What Makes o9 Different
Unified Data Model Across Horizons
Unlike legacy solutions that bolt execution tools onto disconnected planning engines, o9 is built on a unified data model. A six-month forecast, a constrained supply plan, and a daily production schedule all operate from the same assumptions and data. 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.
Sustainability Embedded in Decision-Making
Sustainability is no longer a downstream reporting exercise — it is a planning constraint. o9 embeds sustainability metrics such as emissions, energy consumption, waste, and recycling directly into planning decisions. Planners can transparently evaluate trade-offs between profitability, service, and environmental impact while monitoring KPIs such as Scope 1 and 2 emissions in near real time.
Flexible, Enterprise-Grade Solvers
Supply chain challenges are rarely solved by a single optimization approach. 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
Industries Supported
Powered by the o9 Digital Brain
Supply Chain Master Planning runs on the o9 Digital Brain, a cloud-native platform that unifies finance, supply chain, and commercial planning.
At its core is the Enterprise Knowledge Graph (EKG), which connects structured and unstructured data to create a digital twin of the supply chain. By ingesting thousands of internal and external data sets, the platform captures how changes in supply, demand, or external conditions impact the business.
This architecture supports high-performance demand–supply matching, rapid what-if analysis, and continuous re-planning — enabling organizations to build true operational resilience.
Modular by design, enterprise by default
Supply Chain Master Planning is built to connect strategic, tactical, and operational planning into a single, continuous decision flow — ensuring plans remain aligned as they move from long-term intent to daily execution.
Core Building Blocks
Unified Data Model
Enables cross-functional teams to align on a single, shared demand forecast with transparent assumptions, reconciliation, and accountability.Horizon Integration Layer
Provides the common data model, workflows, and governance needed to connect demand, supply, financial, and strategic planning.High-Performance Optimization Solvers
A suite of heuristics, linear programming, and mixed-integer solvers models complex supply, production, and distribution constraints against business objectives.
Advanced Building Blocks
Extended Value Chain Network Modeling
Incorporates Tier 1 and Tier 2 supplier capacities and lead times into planning to proactively mitigate upstream risks.Sustainability Intelligence Module
Embeds emissions and energy metrics directly into planning decisions, enabling real-time trade-offs between cost, service, and carbon impact.Touchless Automation Engine
AI monitors plan adjustments, corrects data deviations automatically, and reduces manual intervention across routine planning decisions.
Pre-built industry templates provide packaged logic and workflows that reduce time to value while remaining fully customizable.
A digital operating model for VUCA conditions
APEX is o9’s AI-powered operating model for enterprises navigating volatility, uncertainty, complexity, and ambiguity (VUCA). It enables organizations to plan, execute, and learn as one connected system.
The o9 Digital Brain powers APEX by connecting enterprise data, knowledge, and decisions through a single intelligent model.
Collaborative Demand Planning is one of the building blocks of the Digital Brain. It contributes domain-specific capabilities into the enterprise-wide model that enables APEX from the ground up—linking this solution to decisions across the entire value chain.
→ Learn how the APEX Operating Model works
Where AI drives real decisions
Artificial intelligence enhances master planning by improving speed, resilience, and knowledge retention.
AI agents help preserve institutional knowledge by answering questions about SKU parameters, constraints, and historical decisions, or by generating executive-ready reports. This mitigates the impact of talent attrition and ensures continuity even as teams change.
Touchless automation uses AI-driven intelligence to handle routine tasks such as replenishment planning and inventory target adjustments. By monitoring where planners intervene, the system identifies opportunities to improve data quality and progressively reduce manual effort — moving toward a touchless planning environment.
→ Learn more about o9 AI innovations
Results in real-world complexity
ABinBev
AB InBev needed to connect demand, supply, inventory, and production planning across all time horizons, as existing processes relied heavily on manual spreadsheets.
By implementing the o9 Digital Brain for end-to-end planning, the company unified all functions on a single, cloud-native platform. This enabled improvements in inventory staging policies, more effective new product introduction management, and faster, more confident decision-making.
Estée Lauder
Estée Lauder faced limited ability to perform long-range planning and lacked common processes and tools to manage product innovation and introduction.
Using global demand and integrated supply planning on the AI-powered o9 platform, the company was able to respond quickly to COVID-19–related forecast takedowns. As a result, Estée Lauder successfully redeployed approximately $400 million in inventory across geographies while reducing inventory and expedite costs.
400M$
in inventory successfully redeployed across geographies
What our customers say
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Frequently Asked Questions (FAQ)
Supply chain master planning aligns demand, supply, inventory, capacity, and financial decisions across all planning horizons to ensure plans are both strategic and executable.