8 Best Assortment Planning Software for Retail to Consider in 2026

Getting the product mix wrong is expensive. If you carry too much of the wrong SKU, you are marking it down to clear space. Carry too little of the right one and you are handing customers to a competitor. We reviewed eight assortment planning software tools to find the ones that actually help retail teams make smarter, faster decisions about what to stock, where, and in what depth.

After researching platforms across G2, Capterra, Gartner, and vendor documentation, we focused on tools that cover the full assortment planning cycle: category strategy, SKU selection, store clustering, performance analytics, and integration with ERP and POS systems. The list covers options for mid-market retailers, large chains, and enterprise organizations with complex, multi-location operations.

LEAFIO AI Assortment Performance earned the top spot for its AI-driven category recommendations, flexible store clustering, and daily monitoring of category changes. If you manage a retail chain and want to reduce the time spent on manual analysis, the LEAFIO AI Assortment Performance module is worth a closer look.

Assortment planning software helps retailers decide which products to carry, in which stores, and at what depth. It uses sales data, demand forecasts, and category analytics to replace manual spreadsheet decisions with structured, repeatable workflows. The goal is to match your product offering to actual customer demand, category by category, store by store.

Without dedicated software, assortment decisions default to gut instinct and last season's numbers. That approach breaks down fast as SKU counts grow and store networks expand. Global retailers now manage an average of 25,000 to 45,000 SKUs per store across physical and digital channels. Managing ranges at that scale without automation means slower cycle times, more markdowns, and more lost sales.

The cost of getting it wrong shows up in five places:

• Overstocked slow-movers that tie up capital and floor space
• Gaps in fast-moving categories that push customers toward competitors
• Undifferentiated ranges that miss demand varying by geography and demographics
• Reporting delays that mean teams react weeks after problems appear
• Category managers spending hours pulling data instead of building strategy

According to market research cited by Gartner, assortment optimization reduces stockouts by 18% and improves inventory turnover by 22% on average. That kind of performance lift makes the software investment case clear for any retailer managing more than a handful of locations.

We evaluated each tool against the criteria that matter most to category managers, merchandise planners, and retail operations teams. Product documentation, demo walkthroughs, and user feedback from G2 and Capterra all fed into the scoring.

• Core functionality. Does the platform handle the full cycle: category strategy, SKU selection, store-level localization, and performance tracking? We gave higher marks to tools with SKU-level recommendations, not just high-level dashboards.
• AI depth. We looked for tools where AI actively surfaces recommendations, not just tools that display data. Continuous category analysis, automated clustering, and proactive improvement suggestions all counted positively.
• Integration capability. Assortment planning only works when the platform connects to your existing data sources. We assessed native integrations with common ERP, POS, and WMS systems and noted where custom development is typically required.
• Scalability. We considered whether the tool fits single-location retailers, regional chains, or enterprise organizations with thousands of stores.
• Ease of use and onboarding time. A platform with a 12-month implementation timeline creates risk. We looked at user reviews for consistent patterns around onboarding complexity.
• Pricing transparency. Most enterprise assortment tools do not publish list prices. We noted where pricing is available and flagged tools where the cost structure creates barriers for smaller retailers.
• User reviews from G2, Capterra, and Gartner. Verified review platforms capture real-world strengths and friction points that vendor marketing does not cover.

Here is a side-by-side view of all eight tools reviewed. Each is covered in detail below.

LEAFIO AI Assortment Performance is built for retail category managers who need to move faster than a quarterly review cycle allows. The platform monitors category performance daily, flags SKUs that are underperforming or missing, and surfaces specific recommendations based on machine learning analysis of sales dynamics, store clusters, and your chosen financial objective: sales, revenue, or gross profit.

What sets it apart from most assortment planning tools is the combination of strategic planning and operational monitoring in a single interface. Category managers can define their assortment matrix, assign SKU statuses, and track how the live product range compares to the plan, without switching between reporting tools or waiting for a BI team to pull data.

The platform sits inside the broader LEAFIO AI Retail Platform, which means assortment decisions connect directly to inventory optimization software and replenishment workflows. Products added to the range automatically feed into restocking logic. That connection removes the manual handoff between category planning and supply chain execution that creates out-of-stocks in the first period of a new assortment.

LEAFIO AI helps mid-to-large retail chains improve category availability and reduce excess inventory through AI-driven assortment recommendations and daily SKU monitoring.

Key Features:

• AI matrix recommendations: the system continuously analyzes category changes and generates improvement suggestions, highlighting which SKUs to add, remove, or promote.
• Smart store clustering: group stores by shared demand patterns to enable localized assortments without building plans for every location manually.
• Strategy automation: calculate the optimal SKU count for every assortment segment down to price tier or product type, anchored to financial targets, with a single action.
• Built-in analytics: Planned vs. Actual, SKU sales dynamics, lost sales, supplier analysis, and new product tracking are all inside the platform.
• Assortment matrix with custom statuses: flexible classification and collaborative strategy development across teams.
• Promotion and new product planning: commercial planning stays consolidated in one workflow.

Pricing: Custom pricing based on retailer size and scope. A free demo is available on request at leafio.ai/assortment-performance

Best for: Mid-to-large retail chains that want AI-assisted assortment performance management with daily monitoring, localized clustering, and built-in category analytics.

Request a free LEAFIO AI Assortment Performance demo

Blue Yonder Assortment Optimization is part of a broad supply chain platform used by large retailers worldwide. Its core strength is connecting assortment decisions directly to space planning, so a SKU added to a range automatically feeds into the planogram workflow. For enterprise retailers managing both product selection and shelf execution at scale, that integration reduces the gap between what is planned and what lands on the shelf.

Key Features:

• AI-powered demand forecasting integrated with assortment decisions
• Direct connection between Assortment Optimization and Space Planning modules
• SKU lifecycle management, including size optimization and buyer preference modeling
• Scenario modeling for promotional and seasonal assortment changes

Pricing: Available on request. Typically enterprise-level contracts.

Best for: Large retailers already using or evaluating Blue Yonder's broader supply chain suite.

Retailers that need similar enterprise-scale assortment capabilities but want a different balance of implementation complexity, cost, and retail specialization should also compare Blue Yonder platform alternatives.

RELEX Solutions is a unified retail planning platform with strong traction in grocery, food service, and FMCG retail. Its assortment and space planning module sits on the same data model as its demand forecasting and replenishment tools, which means assortment changes flow directly into replenishment planning without manual data reconciliation. For grocery retailers managing fresh categories and short product lifecycles, that end-to-end connection is a significant operational advantage.

Key Features:

• Store-cluster-level assortment management based on local demand signals
• Machine learning demand forecasting built into the same platform
• Planogram and space planning sharing the same unified data model
• Promotion planning and pricing aligned with assortment decisions

Pricing: Contact for pricing; no public rate card.

Best for: Grocery and FMCG retailers that want assortment, demand, and space planning on a single unified platform.

Retailers that want unified assortment, demand, and space planning with a different implementation model can also evaluate Relex Solutions' competitors.

Oracle Retail Assortment Planning is an enterprise-grade module within Oracle's retail suite. It supports localized assortment creation, space planning integration, and collaborative workflows between merchants, buyers, and planners. Oracle was named a leader in the IDC MarketScape for AI-driven Retail Assortment Planning in 2025.

Key Features:

• AI and machine learning for predictive clustering and SKU optimization
• Integration with Oracle Retail Xstore, Merchandising, and analytics tools
• Multi-channel support for complex global retail structures
• Collaborative planning workflows for merchant, buyer, and planning teams

Pricing: $100,000+ annually depending on modules, users, and scale.

Best for: Global enterprise retailers already invested in the Oracle Retail ecosystem.

SAP Assortment Planning is embedded within the SAP retail and ERP environment. For retailers already running SAP, it removes the need for a separate data layer between operational systems and assortment planning decisions. Buyers and category managers work within a familiar environment and connect assortment plans directly to procurement and inventory workflows.

Key Features:

• Collaborative assortment creation across buyer, merchant, and planner roles
• Direct ERP integration eliminating data export and import workflows
• Scenario planning and seasonal assortment management
• Support for promotions and dynamic category changes

Pricing: Contact for pricing; included within SAP Retail licensing for qualified customers.

Best for: Retailers with existing SAP deployments that want assortment planning embedded in their current ERP.

Anaplan is a connected planning platform used across finance, sales, and operations. In retail, it is most commonly applied to merchandise financial planning and scenario modeling. Its strength is linking assortment decisions directly to top-down financial targets: sales plans, margin goals, and open-to-buy budgets. For retailers that struggle to align category and finance teams on the same plan, Anaplan provides the connective tissue.

Key Features:

• Scenario planning to model different assortment configurations against financial outcomes
• Real-time data access and multi-team collaboration on shared plans
• Integration with Salesforce, Workday, Microsoft Azure, SAP, and Oracle
• AI-driven recommendations and forecast optimization within the planning workflow

Pricing: Contact for pricing; enterprise contracts.

Best for: Large retailers that need assortment planning tightly connected to financial planning across multiple business units.

Toolio is a cloud-native merchandising platform built for modern, mid-market retailers. It handles merchandise planning, assortment planning, and allocation in one environment and is specifically designed for teams moving off spreadsheets. The platform has a grid-based interface that planners recognize immediately, with enough automation underneath to materially reduce manual work. Over 95% of users reportedly adopt it successfully with minimal training.

Key Features:

• Unified merchandise, assortment, and allocation planning in a single cloud environment
• Built-in AI for data cleansing, forecast optimization, and insight surfacing
• No-code configuration for metrics, hierarchies, and workflows
• Native integration with NetSuite, Microsoft Dynamics 365, and major data platforms

Pricing: Custom pricing; contact for a quote.

Best for: Small and mid-sized retailers that want a cloud-native, easy-to-adopt platform for merchandise and assortment planning.

o9 Solutions is an AI-native enterprise planning platform with applications across supply chain, demand, and assortment management. For large omnichannel retailers managing complex multi-tier supply chains alongside assortment decisions, o9 offers a single data foundation that connects commercial planning with operational execution.

Key Features:

• AI-native Digital Brain platform connecting demand, supply, and assortment decisions
• Dynamic scenario modeling for assortment and supply chain changes
• End-to-end omnichannel visibility from planning through to fulfillment
• Support for sustainability scoring and ESG-aligned assortment decisions

Pricing: Contact for pricing; enterprise-level contracts.

Best for: Large enterprise retailers that need AI-driven assortment planning as part of a broader end-to-end supply chain platform.

Large omnichannel retailers evaluating o9 should also compare o9 Solutions competitors to understand how other platforms differ in retail specialization, implementation requirements, and time to value.

Assortment planning software is a long-term investment. Getting the selection wrong means a painful switch two years down the road. Here is how to evaluate options without getting distracted by feature lists.

1. Start with your business size and network structure. A 15-store regional chain and a 500-store national retailer have fundamentally different needs. Large enterprises often need platforms like Oracle Retail or RELEX that handle multi-tier supply chains and complex store clustering at scale. Smaller, faster-moving retailers are usually better served by platforms like LEAFIO AI or Toolio, which have shorter implementation timelines and less IT overhead.
2. Be specific about your actual pain points. Are category managers spending too much time in spreadsheets? That points to automation and AI recommendations. Are you carrying too much slow-moving stock? That points to SKU rationalization tools and lost sales analytics. Map the software's capabilities to your current failure modes before you start demos.
3. Check integration requirements early. Confirm which ERP, POS, and data systems you are running and which platforms have native connectors to them. Custom integration work adds cost and time to every implementation.
4. Evaluate scalability honestly. If you plan to grow from 50 to 200 stores in the next three years, choose a platform that scales with you. LEAFIO AI Assortment Performance is built for retail chains at varying scales and can grow alongside the business.
5. Test before you commit. Most vendors offer demos or structured pilots. Use that time to test real scenarios from your business: how does the platform handle a category with 300 SKUs across 40 clusters? How quickly can a new category manager become productive?

Retailers already running SAP, Oracle, or Microsoft Dynamics often ask whether a dedicated assortment planning tool is necessary. The short answer: it depends on how complex your category decisions actually are.

ERP modules handle basic range management well. You can define a product hierarchy, assign items to stores, and pull sales reports. That covers maybe 60% of what a category manager needs day to day. What ERP falls short on is the analytical layer: real-time SKU performance scoring, automated store clustering by demand pattern, and continuous recommendations for what to add or drop. Those require a purpose-built engine, not a configuration in your finance system.

The gap shows up most clearly when assortments need to change faster than a quarterly cycle allows. A platform like LEAFIO AI Assortment Performance monitors category performance daily and flags changes as they happen. Your SAP module does not.

A practical rule: if your category team spends more than 30% of their time pulling data and building reports rather than making decisions, a specialized assortment planning tool will pay for itself within the first year. If replenishment runs on autopilot and range changes are infrequent, your ERP may be sufficient for now.

Traditional assortment planning worked on a seasonal cycle: analyze last season, build a new range, execute, and wait for results. AI shortens that loop dramatically. Machine learning models surface SKU-level performance issues in real time, identify store clusters that are under-assorted in specific categories, and calculate optimal range depth without a planner spending a day in Excel.

Many legacy platforms have added AI features on top of older architectures. The result is often analytics dashboards that describe what happened, rather than tools that recommend what to do next. LEAFIO AI helps retail category teams reduce manual analysis time through continuous AI-driven range monitoring, so recommendations surface automatically as category data changes throughout the season. That is a meaningful operational difference for any chain managing more than 10,000 active SKUs.

For teams evaluating how far AI can automate category decisions, our comparison of the best tools for retail AI assortment optimization provides a broader view of platforms that connect assortment analysis, clustering, and downstream execution.

LEAFIO AI helps grocery and FMCG retailers accelerate assortment rollouts through a phased implementation approach that does not require months of IT work.

1. Connect your primary data sources: POS, ERP, and inventory systems.
2. Define your category hierarchy and store clustering logic before configuring the software.
3. Start with one or two categories as a pilot before rolling out across the full range.
4. Set financial objectives at the category level so the AI has clear targets to optimize toward.
5. Review AI recommendations weekly for the first few months, then move to exception-only monitoring as confidence builds.

Most retailers using LEAFIO AI inventory optimization and assortment tools report measurable improvements in category availability within the first few months. Pairing assortment data with automated replenishment removes another manual handoff from the workflow.