Supply planning translates the demand plan into a feasible production plan � what to make, when, where, and how much. Done at the right horizon (typically 3-18 months rolling), supply planning prevents the late operational surprises that come from supply plans assuming resources or materials that don't exist. The math handles finite capacity, multi-stage propagation through BOMs and routings, supplier lead times, and feasibility constraints that infinite-capacity MRP ignores.
The platforms that fit manufacturer supply planning vary by manufacturing mode (discrete, process, CPG) and integration scope. This page covers the main categories with honest fit guidance.
Horizon fits mid-market manufacturers $100M-$3B across discrete, process, and CPG modes. The supply planning module handles finite capacity, multi-stage BOM/routing propagation, customer-specific supply planning for B2B operations, and tight integration with demand � when demand changes, supply re-plans without re-keying. The decision execution layer is the operational differentiator: rather than producing reports for planners to interpret, the platform proposes specific supply actions (expedite, reallocate, build ahead, change supplier, communicate change) which planners approve or modify.
Where Horizon doesn't fit: very large multinational enterprises with multi-ERP, multi-region operations typically need enterprise platforms (Kinaxis, SAP IBP, o9). Process industries with very complex shared-facility planning often fit OMP better. Pure distribution without manufacturing components doesn't need full supply planning. We'll be specific about fit in early conversations.
Mid-market manufacturers ($100M-$3B) frequently run supply planning in spreadsheets even after investing in ERP and sometimes demand planning. The reasons: ERP MRP runs infinite-capacity and produces plans that don't account for resource constraints, demand planning tools focus on the forecast rather than translating it to production, and dedicated supply planning platforms have historically been enterprise-priced. The result is supply planning that lives in supply planner spreadsheets, with manual coordination between demand, supply, and scheduling.
This pattern is increasingly addressable. Mid-market integrated platforms (Horizon, Logility, RELEX, John Galt) deliver supply planning at scale-appropriate cost integrated with demand and scheduling. Enterprise platforms (SAP IBP, Kinaxis, o9) handle supply planning at enterprise scale. Specialists (ToolsGroup, Flowlity) handle focused use cases. The list below segments by these tiers.
Mature supply planning within IBP for Response and Supply. Native SAP integration. Best for $3B+ SAP-centric manufacturers.
Concurrent supply planning with demand and inventory updating together. 2026 Gartner MQ Leader. Best for $3B+ multinational operations.
Knowledge graph supply planning for complex global operations. Customers' Choice 2025 Gartner Peer Insights.
Established CPG and retail-heavy supply planning capability. Strong execution integration.
Process industry supply planning. Named highest 2026 Gartner MQ Process Industries.
Built for: Mid-market manufacturers $100M-$3B revenue, 1-10 plants, 500-5,000 SKUs across discrete, process, and CPG modes.
Strengths: Finite capacity supply planning integrated with demand planning. Multi-stage propagation through BOMs and routings. Customer-specific supply planning for B2B operations. Decision execution layer proposes specific supply actions to planners � expedite this PO, reallocate this capacity, build ahead for this demand surge, communicate to upstream suppliers. Configuration-driven deployment in 6-10 weeks for supply module.
Limitations: Not built for global multinational complexity or 50,000+ SKU portfolios.
Mid-market manufacturer integrated supply planning with demand. AI through Logility Expert Advisor.
Strong for CPG manufacturers needing supply planning with demand sensing integration.
Atlas Planning with integrated supply planning. Mid-market consumer goods reference base.
Supply planning integrated with probabilistic inventory optimization. Strong for operations with significant supply variability.
Probabilistic AI-driven supply planning. Best for mid-market operations as focused capability.
Three factors drive the shortlist. First, manufacturing mode: discrete favors discrete-specialist scheduling integration; process favors OMP, SAP IBP, Horizon; CPG favors Blue Yonder, RELEX, SAP IBP. Second, scale: $3B+ fits enterprise platforms; $100M-$3B fits mid-market integrated; specialists work for focused use cases. Third, integration scope: tight integration with demand (where supply re-plans when demand changes) favors integrated platforms; standalone supply planning works if demand planning is already mature in separate system.
