Best Supply Chain Planning Software of 2026

Use the comparison tool below to compare the top Supply Chain Planning software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    LEAFIO Reviews
    For more than 15 years, we've followed our passion for Bring Innovations Closer to Retailers. We help to earn more, make fewer mistakes and work more efficiently by using advanced software to streamline routine supply chain processes. We've helped more than 160 retail chains in 17 countries achieve efficiency. We feel the power to spread our technologies worldwide and lead retailers to a significantly new level of financial performance and transparency. LEAFIO is designed to autonomously forecast, plan demand, automate order generation, replenish on time and keep every level of the supply chain balanced in an environment of low predictability and constant change. LEAFIO provides financial performance-driven solutions. Self-regulating AI-based technologies guarantee highly accurate orders, sales growth, improvement in inventory turnover, and waste reduction. The system will automate everything for you. LEAFIO shelf space and planogram optimization module is a full-cycle macro and micro space management solution for retail companies that enables automated planogram generation and optimization, execution control, and shelf space performance improvement. 100+ retail chains experience an inside-the-solution engine.
  • 2
    GMDH Streamline Reviews
    Streamline is the world’s leading Supply Chain Planning Platform with Dynamic Simulation. We help companies make accurate decisions faster. Our product modules: Demand Forecasting - automatic demand forecasting by product and store. Forecasting seasonal and new products, holidays, promotions, and price elasticity. Inventory Planning - avoid unnecessary overstock while ensuring you have sufficient inventory levels to cover future demand on time. Production Planning - reduce the number of orders and save on transportation costs. Material Requirements Planning - plan of material requirements based on the demand forecasts of finished products and a bill of materials (BoM). Supply Planning - control over the entire supply chain. IBP (Integrated Business Planning) - account for calendar events like holidays and day-offs and promo events easily. Dynamic Simulation - use what-if scenarios to stress-test your supply chain. S&OP (Sales & Operations Planning) - align sales forecasts with operational plans across all departments within an organization. Inter-site Optimization - plan replenishment for a system of warehouses mixing distribution center function and direct supply in all combinations. AI Forecasting
  • 3
    GAINS Reviews
    GAINS's mission is to make supply chain planning more accessible. GAINS Supply Chain Performance Optimization Platform enables businesses of all sizes to move forward faster with greater agility, resilience and confidence. GAINS AI-driven cloud platform provides continuous profit and cost optimization through machine learning, proven algorithms and actionable analytics. It is applicable to global manufacturing, distribution and retail as well as service parts/maintenance operations. Innovative design combined with the GAINS Proven-Path-to-Performance (P3)SM methodology enables rapid onboarding and tangible results, including increased sales, inventory turns, and service levels at reduced operating costs in as little as 8 weeks. GAINS proudly offers digital supply chain planning expertise for industry leaders such as Graybar, Menards Honda Motors and Rockwell Automation, Stuller and Textron Aviation.
  • 4
    Intuiflow  Reviews

    Intuiflow

    Demand Driven Technologies

    Intuiflow fuses proven Demand Driven planning methods with AI/ML to identify patterns in demand more quickly, accurately, and reliably than ever before. Inventory buffers give a fast, visual overview of which materials are in demand, while intuitive recommendations ensure smooth material flow without relying on comp
  • 5
    PLAIO Reviews
    PLAIO is an advanced platform leveraging artificial intelligence to enhance visual planning and optimize supply chains specifically for the pharmaceutical sector, integrating demand, supply, manufacturing, and purchasing processes into a cohesive system that supersedes disjointed spreadsheets and manual tasks with up-to-the-minute data, sophisticated forecasting, and automated decision-making support. This platform harmonizes demand signals from various SKUs, markets, and forecasts, employing machine learning algorithms to generate precise forecasts, streamlined production schedules, and smart procurement recommendations while considering factors such as inventory levels, lead times, safety stock requirements, and supplier limitations. Additionally, PLAIO’s Manufacturing Planner offers an intuitive, drag-and-drop interface that provides clarity on batch-level production, capacity limitations, and scheduling on the shop floor, enriched with real-time feedback on campaigns and interactive optimization tools that respond to changing conditions. By centralizing these critical functions, PLAIO empowers pharmaceutical companies to make informed decisions that enhance efficiency and responsiveness in their operations.
  • 6
    ToolsGroup Reviews
    Service Optimizer 99+ (SO99+), a tool that optimizes inventory and service levels in a world where rules are often broken, helps you achieve or exceed service level expectations. ToolsGroup is focused on the ultimate goal of service-level delivery, while others focus on forecast accuracy. Our service-driven approach places inventory across the network to efficiently meet high service level goals. You can set your service levels and rest easy knowing that you will meet them with minimal inventory investment. SO99+ includes uncertainty modeling across a variety of supply chain planning functions. This includes demand forecasting, inventory replenishment, and inventory forecasting. SO99+'s probability based forecasting determines the range of outcomes and the probability that each one will occur, so it can calculate optimal inventory targets.
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