Top 10 Best Supply Chain Network Optimization Software of 2026

Coupa Supply Chain Design, powered by the former Llamasoft technology, is a leading supply chain network optimization platform that models complex global networks to minimize costs, improve resilience, and optimize facility locations, transportation routes, and inventory strategies. It uses advanced mathematical optimization solvers to run thousands of scenarios, enabling strategic what-if analysis and long-term planning. Seamlessly integrated with Coupa's procurement and spend management suite, it leverages real-time data for dynamic decision-making and end-to-end supply chain visibility.

o9 Solutions offers an AI-powered Digital Brain platform designed for end-to-end supply chain planning and network optimization. It leverages graph-based technology, machine learning, and digital twins to model complex supply networks, forecast demand, optimize inventory, and simulate scenarios for resilient decision-making. The solution integrates sales, operations, and supply chain functions to drive agility and efficiency across global enterprises.

Kinaxis RapidResponse is a cloud-based supply chain orchestration platform specializing in concurrent planning for end-to-end network optimization. It creates a digital twin of the supply chain, enabling real-time visibility, what-if scenario simulations, and multi-tier supplier collaboration to manage volatility and disruptions. The software excels in demand sensing, inventory optimization, and capacity planning across global networks.

Blue Yonder's Supply Chain Network Optimization software, powered by the acquired LLamasoft Supply Chain Guru platform, enables enterprises to model, simulate, and optimize complex global supply chain networks for cost reduction, improved service levels, and resilience. It uses advanced mathematical optimization, AI, and machine learning to determine optimal facility locations, transportation routes, inventory positioning, and sourcing strategies. The tool supports strategic long-term planning as well as tactical what-if scenario analysis to adapt to disruptions like tariffs or demand shifts.

SAP Integrated Business Planning (IBP) is a cloud-native supply chain planning platform that excels in end-to-end optimization, including demand planning, inventory management, and advanced supply chain network design. It leverages mathematical optimization algorithms, heuristics, and AI-driven simulations to model global networks, optimize facility locations, transportation routes, and inventory strategies while accounting for constraints like costs, capacities, and risks. The solution supports real-time scenario analysis and what-if planning to enhance supply chain resilience and efficiency for complex operations.

Oracle Supply Chain Planning Cloud is a robust cloud-based platform designed for advanced supply chain planning, including network optimization to model, simulate, and optimize global supply chain networks. It leverages AI, machine learning, and advanced solvers to perform multi-echelon inventory optimization, scenario planning, and what-if analysis for cost minimization and service level improvements. Integrated within Oracle's SCM suite, it supports strategic decisions like facility location, transportation modes, and capacity planning across complex, multi-tier networks.

River Logic is a prescriptive analytics platform focused on supply chain network optimization, enabling enterprises to model complex business policies, constraints, and objectives for strategic decision-making. It optimizes network design, sourcing, production planning, inventory management, and distribution using advanced logic-based optimization. The software excels in multi-scenario simulations and what-if analysis to evaluate trade-offs across financial, operational, and sustainability goals.

Logility Voyager is an advanced supply chain planning platform specializing in network optimization, demand forecasting, inventory management, and sales & operations planning (S&OP). It enables users to model complex global supply networks, simulate scenarios for facility location, transportation routing, and capacity planning to minimize costs while maximizing service levels. Leveraging AI and machine learning, Voyager provides prescriptive analytics to support strategic decision-making across multi-echelon supply chains.

Infor Supply Chain Planning is an enterprise-grade solution that optimizes end-to-end supply chain operations, with a strong focus on network optimization through advanced modeling and simulation. It enables users to design and reconfigure supply chain networks by evaluating facility locations, transportation modes, inventory positioning, and sourcing strategies to minimize costs and enhance resilience. Leveraging AI, machine learning, and cloud-based analytics, it supports strategic, tactical, and operational planning for complex, global supply chains.

AspenTech Supply Chain Optimizer is an advanced enterprise software solution designed for optimizing complex supply chain networks, particularly in process industries like chemicals, oil & gas, and pharmaceuticals. It uses sophisticated mathematical programming and simulation to model multi-site production, inventory management, distribution, and logistics while accounting for constraints like capacity, demand variability, and sustainability factors. The tool enables strategic network design, tactical planning, and operational optimization to minimize costs and improve efficiency across global supply chains.