Best Supply Chain Planning Software in 2026

Supply chain planning software helps organizations decide what to make, buy, move, and hold. It sits above systems of record such as ERP, turns demand and supply data into forecasts, and supports the plans that teams execute. If an ERP records what has happened, planning software helps teams decide what should happen next.

In 2026, buyers have a wide range of options. Some platforms cover planning across a global supply network, some connect supply chain planning with finance and sales, and others focus on demand forecasting, inventory optimization, or replenishment. This guide profiles 15 platforms using the same criteria: key strengths, target audience, core capabilities, and AI features.

Pigment is presented first because this guide is published by Pigment. The remaining vendors are listed alphabetically. The list is not a ranking, and inclusion does not imply that every platform fits the same use case or company size.

Editorial and sourcing note

Product and AI statements in this article are based on the vendors’ official product pages or documentation linked beneath each profile. They describe capabilities made available or claimed by the vendor; they are not independent performance tests. “Best for” descriptions and the shortlist guidance are editorial assessments based on the documented product scope, not claims made by the vendors. Performance outcomes and implementation timelines have been omitted unless clearly attributed to a named source.

G2 and Gartner Peer Insights ratings were checked on October 10, 2026 and may change. Scores are provided as context rather than a ranking because products can have different review volumes and may be listed in different software markets. Where a rating applies to a different product or market, that limitation is stated explicitly.

What supply chain planning software does

Supply chain planning software supports the planning loop from operational data to forecasts, scenarios, and recommended supply or replenishment decisions. Depending on the product, that loop can include:

• Data preparation and ERP integration
• Demand forecasting
• Inventory optimization and safety-stock policies
• Supply, capacity, and production planning
• Scenario modeling and recommendations
• Replenishment or execution handoffs
• Performance review and forecast updates

It is useful to distinguish planning from adjacent systems. ERP platforms are commonly used as systems of record for transactions and master data, while WMS and TMS products support warehouse and transportation execution. Supply chain planning products use data from these and other systems to support forward-looking demand, supply, inventory, capacity, and replenishment decisions.

For example, if a supplier’s lead time changes, a planning team may need to update forecasts, inventory policies, supply plans, and purchase recommendations. The exact level of automation and connection to execution varies by platform and implementation.

Why supply chain planning software matters in 2026

Volatility requires continuous replanning

Demand, lead times, input costs, supplier capacity, and trade policy can change faster than a monthly or quarterly planning cycle. Planning tools help teams update assumptions, identify exceptions, and revise supply, inventory, and capacity plans as conditions change.

Forecasting is moving beyond a single number

Several vendors reviewed for this guide describe probabilistic forecasting, machine learning, or automated model selection. These approaches are designed to help planners evaluate a range of demand outcomes and set inventory or service-level policies around uncertainty rather than relying only on one forecast. (ToolsGroup; Deposco; EazyStock)

Scenario modeling connects decisions to trade-offs

Supply chain decisions affect revenue, margin, working capital, and customer service. Scenario modeling helps teams compare options such as changing suppliers, increasing safety stock, reallocating inventory, or adjusting production before committing to a plan.

AI capabilities are becoming more varied

“AI” does not describe one standard capability across the reviewed products. Depending on the vendor, it may refer to statistical and machine-learning forecasting, demand sensing, anomaly detection, natural-language analysis, recommendations, or agents that support planning work. Buyers should assess the demonstrated workflow rather than the label alone. (Blue Yonder; Pigment; Kinaxis)

Platform scope is a key dividing line

Some products are broad suites that connect demand, supply, inventory, production, and execution. Others specialize in forecasting and replenishment or connect supply chain planning with finance and commercial planning. Neither approach is inherently better; the right scope depends on the organization’s systems, processes, and internal resources.

For example, if a supplier’s lead time moves from 3 weeks to 6, a planner may need to recalculate demand coverage, safety stock, production, and purchase recommendations. The value of a planning platform is its ability to show the operational and financial impact quickly enough for the team to act.

What to look for when choosing supply chain planning software

Use the following criteria to compare platforms against the way your organization plans:

• Planning depth and scope. Confirm whether you need demand planning, supply planning, inventory optimization, production planning, S&OP or IBP, network design, replenishment, or a combination of these.
• Forecasting approach. Examine how the platform handles seasonality, promotions, intermittent demand, new products, short product lifecycles, and forecast uncertainty.
• Scenario modeling. Test how quickly planners can change assumptions, compare outcomes, and understand trade-offs across service, inventory, capacity, cost, and margin.
• AI capabilities and governance. Separate statistical or machine-learning forecasting from generative and agentic features. Check explainability, approval controls, permissions, auditability, and how customer data is used.
• ERP and data integration. Verify which integrations are available today, how data is refreshed, and whether the platform can work with your ERP, data warehouse, WMS, TMS, CRM, and external signals.
• Organizational fit. Match the product to the size and complexity of your network, the maturity of your planning team, and the level of configuration your organization can support.
• Implementation and adoption. Compare data preparation, integration work, administrator requirements, training, partner support, and the expected time before planners can use the system effectively.
• Total cost. Ask vendors to separate subscription, implementation, integration, training, support, and ongoing administration costs. Use the same scope and assumptions when comparing proposals.

Main supply chain planning software vendors

Ratings below were checked on September 25, 2026. They can change over time and are not always based on the same product category, review count, or reviewer profile. Follow the linked review pages and evaluate the underlying reviews rather than comparing scores alone.

Pigment: AI-native supply chain planning connected to finance and sales

G2: 4.6/5. Gartner Peer Insights: 4.7/5 in the Financial Planning Software market.

Pigment supports supply chain planning on the same platform as finance, sales, and workforce planning. Its multidimensional modeling layer can be configured for use cases such as demand, inventory, capacity, and S&OP planning.

• Key strengths: Scenario planning as a regular workflow (for example tariff, logistics, and cost what-ifs with P&L impact), flexible multidimensional modeling, one shared view across supply chain, finance, and sales, and models that planning teams can adapt themselves.
• Best for / target audience: Organizations that want to run supply chain scenarios frequently, connect supply chain plans with finance, sales, and workforce plans on one platform, and have planners build and adapt their own models.
• Core capabilities: Demand and inventory planning, capacity and supply modeling (including lead times and production constraints), S&OP, scenario simulation in isolated sandboxes, reporting, profitability analysis down to SKU level, and integrated financial and operational planning.
• AI features: Pigment offers an Analyst Agent that turns operational questions into recurring analyses and surfaces risks, a Modeler Agent that builds or extends models from a natural-language description (for example, adding a distribution center), Custom Agents, machine-learning Predictions, natural-language assistants, and an MCP Server for governed connections with external AI tools such as ChatGPT or Claude. The Planner Agent is listed as coming soon. Pigment states that customer data is kept separate and is not used to train foundation models.
• Integrations: Pigment documents connectors for systems including NetSuite, Sage Intacct, SAP, Salesforce, Workday, BigQuery, Snowflake, Google Sheets, and Excel, as well as APIs and connections through iPaaS and ETL providers.

Anaplan: connected planning with pre-built supply chain applications

G2: 4.6/5. Gartner Peer Insights: 4.5/5 in the Financial Planning Software market.

Anaplan offers supply chain planning applications on its connected planning platform, with pre-built applications for demand, inventory, production, supply, and S&OP/IBP. The applications are designed as best-practice starting points that organizations can extend or build on.

• Key strengths: Pre-built supply chain applications, connected planning across supply chain and finance, and flexible models that can be extended.
• Best for / target audience: Large enterprises with customized, high-dimensional planning across supply chain and other functions.
• Core capabilities: Demand planning and statistical forecasting, inventory planning, production planning, rough-cut capacity planning, supply planning, and S&OP/IBP.
• AI features: Anaplan Intelligence combines a deterministic calculation engine with an LLM, adds role-based AI agents, and uses a data ontology for business context.

Blue Yonder: end-to-end planning for complex supply chains

G2: 4.1/5. Gartner Peer Insights: 4.6/5.

Blue Yonder provides an enterprise planning suite spanning demand, supply, inventory, production, network, and order-planning workflows, with links to execution products in its broader portfolio.

• Key strengths: Broad planning coverage, network modeling, scenario analysis, and connection between planning and execution applications.
• Best for / target audience: Large retailers, manufacturers, and logistics organizations with complex, multi-tier or global supply networks.
• Core capabilities: Demand and supply planning, inventory optimization, production planning, network design, order promising, and integrated business planning.
• AI features: Blue Yonder describes predictive, generative, and agentic AI capabilities, including machine-learning forecasting, demand sensing, explainability, and planning recommendations.‍

Deposco: forecasting, inventory, and sourcing in the Bright Suite

G2 seller profile: 4.2/5. Gartner Peer Insights: No supply chain planning rating was found during this review.

Deposco provides planning through its Bright Suite, connecting demand forecasting, inventory planning, and sourcing workflows.

• Key strengths: Automated forecast-model selection, inventory optimization, sourcing workflows, and forecast review and approval controls.
• Best for / target audience: Mid-market organizations that want forecasting, inventory, and purchasing capabilities within a broader supply chain platform. This is an editorial assessment based on Deposco’s product scope and its own mid-market positioning.
• Core capabilities: Demand forecasting through Bright Forecast, inventory planning through Bright Inventory, sourcing and purchasing through Bright Source, and inventory benchmarking.
• AI features: Deposco states that Bright Forecast runs more than 12 forecasting models, including Meta Prophet and Hybrid AI, and evaluates which model fits each SKU based on demand history. Buyers should validate which capabilities are included in the proposed package.

EazyStock: forecasting and replenishment layered onto an ERP

G2: 4.4/5. Gartner Peer Insights: No rating was found during this review.

EazyStock adds demand forecasting, inventory optimization, and replenishment workflows to an existing ERP.

• Key strengths: ERP-layered deployment, automated inventory policies and replenishment recommendations, and a scope focused on inventory planning.
• Best for / target audience: Small and mid-sized distributors, wholesalers, and manufacturers that want to improve forecasting and replenishment without replacing their ERP.
• Core capabilities: Demand forecasting, inventory classification, reorder-point and safety-stock calculations, replenishment recommendations, and inventory reporting.
• AI features: EazyStock uses machine-learning forecasting and automated calculations for reorder points, safety stock, and order quantities.

Flowlity: probabilistic forecasting and inventory planning

G2: 4.9/5. Gartner Peer Insights: 4.0/5 (only 1 review).

Flowlity is a supply chain planning platform centered on probabilistic forecasting, inventory buffers, and exception-based workflows.

• Key strengths: Probabilistic forecasting, dynamic inventory buffers, exception management, and a focused planning interface.
• Best for / target audience: Mid-market retailers, industrial organizations, and distributors looking for demand, supply, and inventory planning without the breadth of a large enterprise suite.
• Core capabilities: Demand planning, inventory optimization, supply planning, S&OP, collaborative planning, and ERP integration.
• AI features: Flowlity describes its forecasting and buffer calculations as AI-driven and probabilistic. Its Co-planner MCP connects the platform with supported external AI assistants.

Kinaxis: concurrent planning and scenario analysis

G2: 4.0/5. Gartner Peer Insights: 4.4/5.

Kinaxis provides concurrent planning through its Maestro platform, allowing changes in one part of a plan to be reflected across connected demand, supply, inventory, and capacity plans.

• Key strengths: Concurrent planning, cross-functional scenario analysis, supply chain visibility, and support for complex global networks.
• Best for / target audience: Large global enterprises with complex products, networks, capacity constraints, or regulatory requirements.
• Core capabilities: Demand, supply, inventory, capacity, and S&OP planning; scenario simulation; network modeling; and disruption response.
• AI features: Kinaxis describes AI-supported forecasting, demand sensing, orchestration, recommendations, and agent capabilities across planning workflows.

Netstock: demand and inventory planning connected to ERP

G2: 4.6/5. Gartner Peer Insights: 4.0/5.

Netstock provides demand forecasting, inventory planning, and replenishment recommendations as a layer connected to an existing ERP.

• Key strengths: Focused demand and inventory workflows, ERP connectivity, inventory classification, and replenishment recommendations.
• Best for / target audience: Small and mid-sized distributors and manufacturers that need structured forecasting and inventory planning on top of their ERP.
• Core capabilities: Demand forecasting, inventory classification, dynamic safety stock, purchase recommendations, inventory dashboards, and hierarchical demand planning.
• AI features: Netstock documents statistical forecasting, preparation of historical demand, planner refinement, exception-based workflows, and forecast-risk and forecast-bias attributes. Its published guidance also recommends comparing multiple algorithms for best-fit forecasting; buyers should confirm the exact automated methods included in the proposed product configuration.

o9 Solutions: enterprise planning built on a knowledge graph

G2: 4.2/5. Gartner Peer Insights: 4.8/5.

o9 Solutions provides integrated planning across supply chain, commercial, financial, and operational functions through its Digital Brain platform and Enterprise Knowledge Graph.

• Key strengths: Enterprise-scale integrated planning, a shared knowledge-graph architecture, cross-functional scenarios, and broad supply chain coverage.
• Best for / target audience: Large enterprises seeking to connect supply chain, commercial, and financial planning across a complex organization.
• Core capabilities: Demand, supply, inventory, capacity, master, and integrated business planning; control-tower visibility; and scenario analysis.
• AI features: o9 documents machine-learning forecasting, generative and agentic AI, and specialized planning agents grounded in its Enterprise Knowledge Graph.

OMP: Unison Planning for complex, industry-specific supply chains

G2: 4.5/5. Gartner Peer Insights: 4.6/5 in the Supply Chain Planning Solutions market.

OMP provides Unison Planning, a cloud-based, AI-enabled platform that OMP describes as covering planning from strategic to operational and from demand to supply. OMP lists customers across consumer goods, life sciences, chemicals, metals, paper, packaging, plastics, tires, and building products.

• Key strengths: Demand-to-supply planning on one platform, industry-specific planning logic, scenario generation with AI, and a generative AI assistant (OMP Companion).
• Best for / target audience: Manufacturers and consumer goods companies with complex planning needs. This is an editorial assessment based on OMP’s stated industries and positioning.
• Core capabilities: Demand planning, supply and production planning, inventory optimization, S&OP, scenario modeling, and a digital-twin approach to supply chain modeling.
• AI features: OMP describes AI-driven scenario generation, the OMP Companion generative AI assistant, and explainable AI. A third-party trade article also reports AI-powered dashboards and process mining as part of the wider platform.

SAP Integrated Business Planning: planning within the SAP ecosystem

G2: 4.3/5. Gartner Peer Insights: 4.7/5.

SAP IBP is a cloud planning product covering demand, supply, inventory, response, S&OP, and control-tower use cases, with native links to the wider SAP ecosystem and support for external data.

• Key strengths: Broad supply chain planning coverage, alignment with SAP systems, and connection between operational and financial planning processes.
• Best for / target audience: Mid-market and large organizations, particularly those already using SAP ERP or S/4HANA and able to support an enterprise implementation.
• Core capabilities: Demand, supply, inventory, response, and S&OP planning; supply chain visibility; and scenario analysis.
• AI features: SAP IBP includes statistical and machine-learning forecasting, demand sensing, pattern detection, automated outlier correction, and support for integrating custom machine-learning models.

Slimstock: lifecycle, promotion, and inventory planning

G2: 4.7/5. Gartner Peer Insights: 4.8/5.

Slimstock provides demand, supply, and inventory planning through Slim4, with workflows for promotions and product lifecycles.

• Key strengths: Promotion and lifecycle planning, demand and inventory workflows, integrated S&OP, and an associated training program through Slimstock Academy.
• Best for / target audience: Retail, wholesale, distribution, and manufacturing organizations with promotion-heavy or lifecycle-sensitive product portfolios.
• Core capabilities: Demand and supply planning, replenishment, inventory optimization, S&OP and IBP, promotion planning, and product-lifecycle forecasting.
• AI features: Slimstock states that Slim4 uses AI and machine learning to analyze history, seasonality, lifecycle stages, and emerging trends, including promotions and new-product introductions.

StockIQ: SKU-level forecasting and SIOP planning

G2 seller profile: 4.5/5. Gartner Peer Insights: No rating was found during this review.

StockIQ provides demand, inventory, replenishment, supplier, and SIOP planning for product-based businesses.

• Key strengths: Granular forecasting, SIOP workflows, promotion and event modeling, supplier scorecards, and configurable reporting.
• Best for / target audience: Distributors and manufacturers managing large SKU catalogs, long lead times, promotions, or supplier-performance constraints.
• Core capabilities: Demand planning by item, site, channel, customer, and category; inventory and replenishment planning; promotion planning; supplier analysis; and SIOP dashboards.
• AI features: StockIQ describes an AI-powered forecast manager. Its documentation characterizes the StockIQ Forecast Algorithm as an in-house ensemble that combines several forecasting approaches and uses demand history, seasonality, monthly variation, and trends.

RELEX: unified retail and supply chain planning

G2 seller profile: 4.6/5. Gartner Peer Insights: 4.6/5 in Supply Chain Solution.

RELEX provides a unified supply chain and retail planning platform that RELEX says uses a single source of data to plan space, promotions, markdown, and assortments together with supply chain and operations. It is built for retailers, wholesalers, and consumer goods companies.

• Key strengths: Retail and supply chain planning on one data model, promotion, assortment, and space planning, and configuration rather than coding.
• Best for / target audience: Retailers, wholesalers, and consumer goods companies, which is RELEX’s own stated customer base.
• Core capabilities: Demand forecasting, inventory and replenishment planning, supply chain planning and S&OP, and merchandising planning including space, assortment, promotions, and markdown.
• AI features: RELEX describes the platform as backed by AI and machine learning, with digital twin modeling across planning functions.

ToolsGroup: probabilistic forecasting and inventory optimization

G2 seller profile: 4.6/5. Gartner Peer Insights: 4.4/5.

ToolsGroup provides AI-driven demand, supply, inventory, replenishment, and retail planning. Its current platform branding is Decion; some review and product pages still refer to SO99+.

• Key strengths: Probabilistic demand forecasting, multi-echelon inventory optimization, demand sensing, and service-level planning.
• Best for / target audience: Retailers, manufacturers, distributors, and aftermarket organizations managing volatile demand or complex inventory networks.
• Core capabilities: Demand and supply planning, probabilistic forecasting, inventory optimization, replenishment, service-level planning, and retail planning.
• AI features: ToolsGroup describes AI and machine-learning capabilities for probabilistic forecasting, inventory decisions, demand sensing, recommendations, and agent-supported workflows.

Supply chain planning software comparison table

Choosing your supply chain planning platform

The right platform depends on the decisions your team needs to make, the systems you already run, and the complexity your organization can support.

Start with the workflows that create the most operational or financial risk. If your main challenge is forecasting and replenishment on top of a stable ERP, a focused inventory-planning product may be sufficient. If demand, supply, capacity, finance, and commercial plans need to move together, a broader suite or cross-functional planning platform may be a better fit.

Then narrow the market using your ERP, company size, planning maturity, data readiness, and implementation capacity. A platform designed for a multinational manufacturer and a tool designed for a regional distributor may overlap on feature labels while requiring very different levels of configuration and administration.

Shortlist 3 to 5 vendors and ask each one to demonstrate the same real workflow with your data. Include difficult cases such as intermittent demand, promotions, constrained supply, long lead times, or a sudden change in a key assumption. Compare not only forecast outputs but also the planner experience, override controls, explainability, integration process, governance, and total cost.

To see how Pigment helps supply chain teams run scenarios as part of everyday planning and align supply, demand, and finance plans, request a demo.