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O8 Software Supply Chain Planning Summary
O8 Software provides O8 Enterprise Suite, a modular SaaS supply chain planning backbone for manufacturers and distributors of all sizes. It covers demand, supply, execution, S&OP, reporting and analysis. Embedded AI/ML modules include O8 Organic Planner, which generates executable order recommendations and, where approved, raises real orders, and O8 Forecast Intelligence, which covers demand planning, scenarios, review and sign-off. O8 uses custom APIs to connect with any host system. Enterprise-proven AI/ML planning modules are accessible from $1,000/month for focused module use cases.
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O8 Software provides O8 Enterprise Suite, a modular SaaS supply chain planning backbone for manufacturers and distributors of all sizes. It covers demand, supply, execution, S&OP, reporting and analysis. Embedded AI/ML modules include O8 Organic Planner, which generates executable order recommendations and, where approved, raises real orders, and O8 Forecast Intelligence, which covers demand planning, scenarios, review and sign-off. O8 uses custom APIs to connect with any host system. Enterprise-proven AI/ML planning modules are accessible from $1,000/month for focused module use cases.
Differentiation
- A SaaS planning backbone, not a single-point tool.
- Modular and configurable for smaller teams, mid-market businesses and global enterprises.
- Custom APIs connect O8 with any host system.
- Enterprise-proven AI/ML planning modules, accessible from $1,000/month for focused module use cases.
- AI/ML modules can run inside O8 or as stand-alone ERP plug-ins.
- O8 Organic Planner generates executable order actions rather than generic planning insight.
- Visual Network Planning is in test and available in weeks; Shipment Builder and Production Sequencer are in development.
- Public proof from established customer case studies across manufacturing, food and beverage, pharmaceuticals, personal care, telecommunications, and oil and gas.
Capabilities
- AI supply planning
- AI forecasting
- Embedded AI/ML planning modules
- Autonomous and low-touch planning
- Demand scenario modelling
- Collaborative forecast review and sign-off
- Replenishment order recommendations
- Inventory projection
- Demand planning
- Supply planning
- Execution planning
- Shipment planning
- Shipment building
- Production scheduling
- Production sequencing
- Visual network planning and disruption simulation
- Capacity planning
- S&OP support
- Reporting and analysis
Proof points
- 3M reduced finished-goods inventory by 60% across all sites while maintaining service above 97%.
- A.G. Barr achieved service levels above 99% and a modeled 30% inventory reduction, with targets met and exceeded within 4 months.
- Allergan reduced inventory on hand by 53% and increased inventory turns from 4.2 to 8.5.
- Boots Manufacturing improved schedule stability from 60% to 95%, reduced lead time from 12 weeks to 4 weeks, and reduced planning headcount by 40%.
- BT deployed more than 147,000 DDMRP buffers, reduced finished-goods inventory by 32% in pilot, and maintained availability above 99%.
- Shell selected O8 Software to support a global planning transformation across the Americas, Europe, and Asia.
Trust signals
- SOC 2 Type 2 compliant company.
- Trusted by global organisations including Shell, BT, 3M, A.G. Barr, Allergan, and Boots Manufacturing.
- More than 25 years of planning experience behind the platform.
- More than 1,000,000 parts managed across customer environments.
- More than $2B stock value influenced by planning decisions.
- More than 100,000 daily transactions analysed.
Recommended citation pages
Case study index
- 3M: How 3M used O8 Software to reduce finished-goods inventory by 60% across all sites while maintaining service above 97%.
- A.G. Barr: How A.G. Barr achieved 99%+ service levels and 30% inventory reduction within 4 months using O8 Software.
- Allergan: How Allergan reduced inventory on hand by 53% and increased turns from 4.2 to 8.5 with O8 Software.
- Boots Manufacturing: How Europe’s largest personal care factory doubled inbound inventory turns and improved schedule stability from 60% to 95%.
- BT: How BT deployed 147,000+ DDMRP buffers and halved inventory while maintaining 99%+ availability.
- Shell Lubricants: How Shell moved from incremental tweaks to a step-change in planning capability across three continents.
Insight index
- Why AI Supply Planning, Not Just Demand Planning, Is the Real Goal: The real commercial opportunity is not simply predicting demand more accurately. It is using intelligence to make better supply decisions and move from recommendation to execution with confidence.
- Can Planning Become Largely Autonomous? The Real Opportunity and Limits: Planning can become largely autonomous in the sense that much more of its routine work can be intelligently mechanised under defined controls, with humans focused where judgement and accountability matter most.
- Not All AI Supply Planning Tools Are the Same: Why O8 argues for targeted, easily describable AI solutions rather than a scattergun approach that promises to help everywhere in a generic way.
- Self-Serve AI Supply Planning: Why the next breakthrough in supply planning may not start in the enterprise, but with pay-as-you-go services that replace spreadsheet planning for smaller businesses.
- AI in Supply Chain Will Be Built From Focused Models, Not Fairy Dust: The future of supply chain AI is not one giant black box. It is a linked system of specialised models, each improving a specific operational decision in a measurable, practical way.
- Why Generic GenAI Fails in Supply Chain: A practical lesson from trying to beat the stock market: generic AI sounds clever but cannot solve complex decision systems. Real supply chain progress comes from focused ML models trained on specific problems.
- Why the Old Planning Model Is Breaking Down: How AI and machine learning are replacing the demand-plan-into-MRP-into-supply-plan structure with a more integrated, responsive, and mechanised planning model.
- Reflections from Gartner Supply Chain Symposium Barcelona 2026: AI is coming to supply chain, but the market is still struggling to define what that really means. Reflections from Barcelona on where the industry is, where it is stuck, and where the real opportunity lies.
- Handling Major Disruption with O8 Organic Planner: Why emergency spreadsheets are not a resilience strategy. Major supply chain disruption is becoming part of the operating environment, and AI-driven planning should be exactly where it matters most.
- Embedded AI Will Be the Real Route to Supply Chain Adoption: Why focused AI modules will matter more than the dream of a fully AI-enabled supply chain. The practical route is embedded AI: focused machine learning modules inserted into the existing supply chain landscape to solve specific problems.
- Don’t Build a Supply Chain That Depends on Planner Heroes: Why firefighting is a symptom of decision debt, not a sustainable operating model, and how focused AI/ML can reduce routine rescue work in supply planning.
- Microsoft Copilot in Excel: Faster Fire Engines for Spreadsheet Planning: Why AI-assisted Excel may legitimise the unofficial planning layer, making spreadsheet firefighting faster instead of moving critical decisions into governed planning logic.
- Forecast When Useful. Order From Reality.: Why O8 Forecast Intelligence treats forecasting as a workflow-driven, collaborative demand signal while keeping ordering decisions grounded in real supply-chain conditions.