Top 10 Best Replenishment Planning Software of 2026

Blue Yonder Demand and Supply Planning stands out for end-to-end planning that links demand forecasting to supply execution and replenishment decisions. It supports multi-echelon inventory planning with constraint-aware optimization across sourcing, production, and distribution. The solution provides scenario planning and what-if simulation to evaluate service levels, costs, and capacity impacts for replenishment plans. It also integrates planning outputs with enterprise execution so orders and replenishment signals can flow to operational systems.

o9 Solutions stands out for turning replenishment planning into a rules and optimization workflow that supports multi-echelon, network-wide decisions. It combines demand and supply signals to generate time-phased plans, including reorder suggestions, safety stock logic, and allocation across locations. The product supports scenario analysis so teams can compare service level and cost tradeoffs before committing inventory actions. Integration depth with enterprise planning and data systems makes it suited for organizations that need consistent planning governance across regions.

Kinaxis RapidResponse stands out for AI-driven supply chain control that coordinates planning across sourcing, manufacturing, and distribution. It supports scenario planning, optimization, and real-time execution signals so replenishment decisions update when demand or supply changes. The platform emphasizes collaboration through shared views, guided workflows, and rapid what-if analysis tied to inventory and service targets. Strong exception management helps users focus on shortfalls, surpluses, and constraint-driven replenishment impacts.

SAP Integrated Business Planning for Supply Chain focuses on end-to-end replenishment planning using SAP S/4HANA integration and scenario-based optimization. It supports demand planning inputs, supply and inventory balancing, and constrained planning to align orders with capacity, transportation, and service targets. Planning results can drive order recommendations and execution handoffs across warehouses, plants, and procurement or manufacturing planning processes.

Oracle Fusion Cloud Supply Chain Planning stands out for its tight integration with Oracle Fusion Cloud ERP and its model-driven approach to replenishment decisions. It supports demand sensing, forecasting, and supply allocation inputs that feed replenishment planning across orders, inventory, and constraints. The product includes scenario planning and optimization options to balance service levels with cost and capacity limits. It is best used by organizations that need enterprise-grade planning governance and frequent plan updates across complex supply networks.

Infor Supply Planning stands out with tight integration into Infor’s ERP and planning ecosystem, which supports end to end replenishment workflows. It covers multi-echelon planning, demand and supply forecasting, and inventory optimization using service levels and constraint logic. The product emphasizes scenario planning and collaborative planning processes to align采购 and distribution decisions across networks. It can be heavy to implement and typically fits organizations running broader Infor suites rather than standalone replenishment use.

ToolsGroup A/S stands out for supply chain planning depth that focuses on optimization-driven replenishment decisions across complex networks. Its Supply Chain Planning suite supports inventory planning and forecasting workflows designed to balance service levels, costs, and constraints. The platform is geared toward enterprise planning use cases that need scenario modeling and explainable recommendations tied to SKU, location, and time buckets.

Anaplan stands out for building interconnected planning models that connect demand, supply, and inventory tradeoffs in one workspace. For replenishment planning, it supports demand forecasting inputs, inventory policies, constraint-based scenarios, and reorder logic across multi-echelon networks. Teams can automate planning cycles with scheduled runs, approvals, and version-controlled model changes. Its strength is cross-functional what-if analysis using reusable modules and relational data structures rather than only dashboarding.

Sana Commerce Planning emphasizes inventory and replenishment workflows tightly integrated with the Sana Commerce commerce stack. It supports demand sensing, rules-based replenishment logic, and multi-echelon inventory planning to drive purchase and transfer recommendations. The solution focuses on keeping stock levels aligned with service levels using configurable planning parameters rather than spreadsheets. It is best suited for companies that already run Sana Commerce and want replenishment planning operationalized inside their commerce processes.

Netstock Inventory and Replenishment Planning stands out for using demand signals and automated planning to drive replenishment decisions across complex item and location setups. It provides inventory optimization calculations, reorder recommendations, and workflow visibility for planners managing lead times, service targets, and supplier constraints. The platform integrates with common ERP and fulfillment systems to keep planning inputs aligned with on-hand and inbound inventory. It is strongest for teams that want a structured replenishment process with measurable impact on stock availability.