Top 10 Best Assortment Planning Software of 2026

Assortment decisions in o9 sit inside a wider planning stack, so merchants can connect line reviews to demand forecasts, inventory targets, supplier constraints, and margin plans without exporting data between separate modules. The underlying graph-based data model supports granular hierarchies for SKU, store, cluster, channel, calendar, and attributes, which helps teams model localized assortments with fewer schema breaks. API coverage and data integration options support inbound operational feeds and outbound plan publication, which matters for retailers with established ERP, merchandising, and replenishment systems.

o9 also gives administrators substantial control over workflow configuration, permissions, and model changes, including RBAC structures that limit access by role, geography, or planning scope. Auditability and governed planning views support controlled plan adjustments in large organizations with many contributors. The tradeoff is implementation complexity, because the breadth of the data model and configuration surface requires strong data governance and a clear ownership model. o9 fits retailers that want assortment planning connected to enterprise planning processes rather than a lightweight single-purpose workspace.

Retailers with mature merchandising operations and complex hierarchy structures fit Blue Yonder Category Management best. Blue Yonder Category Management uses enterprise retail data across item, store, cluster, and category levels to support localized assortment decisions with shared schemas and governed workflows. The product aligns well with Blue Yonder forecasting, replenishment, and merchandise planning environments, which reduces duplicate data mapping and keeps planning outputs closer to execution. Administrative controls support role-based access, controlled configuration, and process standardization across large teams.

Blue Yonder Category Management trades ease of initial deployment for control depth and integration breadth. The data model and workflow configuration require stronger governance than lighter assortment products, especially when multiple banners and regional exceptions are involved. It fits chains that need assortment decisions tied to operational systems, auditability, and repeatable planning logic across many categories. Teams choosing between o9, Blue Yonder, and Leafio will usually prefer Blue Yonder when API coverage, enterprise data alignment, and cross-system integration matter more than speed of rollout.

Leafio positions its assortment planning capability around helping retailers build more productive product ranges at the category, store, and cluster level. The platform analyzes demand patterns, customer behavior, shelf constraints, and SKU performance to recommend which products to keep, expand, reduce, or localize. This makes it a strong fit for chains that need to move beyond one-size-fits-all assortment decisions and manage complexity across multiple formats.

A notable strength is how Leafio connects assortment decisions with adjacent retail planning needs such as forecasting and space-aware execution, which can improve real-world implementability. A tradeoff is that the platform appears best suited to retailers with enough operational data, merchandising structure, and scale to benefit from AI-driven optimization rather than very small merchants needing lightweight planning. It is especially useful when a retailer wants to rebalance category depth by store cluster before seasonal resets, format changes, or expansion into new locations.

Among assortment planning systems, RELEX Assortment Planning is most distinct for its tight coupling with forecasting, replenishment, and space decisions inside one retail data model. RELEX Assortment Planning supports cluster-based assortments, localized range decisions, lifecycle planning, and what-if analysis with demand and inventory signals feeding each recommendation.

Integration depth is a core strength, with enterprise connectors, APIs, and shared workflows that link merchandising changes to supply chain execution. Admin teams get structured configuration, role-based access controls, and governed data flows that suit large retail organizations with complex operating models.

Assortment plans are built against Oracle Retail’s merchandise hierarchy, location structure, and financial planning model, which gives Oracle Retail Assortment Planning unusually tight alignment with enterprise retail data. Oracle Retail Assortment Planning handles top-down and bottom-up planning, cluster-based assortment decisions, versioned what-if scenarios, and plan reconciliation across channels and store groups.

Integration is a core strength because the application sits within the wider Oracle Retail suite and works with shared retail schemas, batch processes, and enterprise workflows. Administration is built for controlled rollouts with role-based access, configurable approval paths, and governance suited to large merchandising organizations.

Retail teams managing assortment decisions across many categories and channels fit Anaplan for Retail Assortment Planning when integration control matters as much as planning workflow. Anaplan for Retail Assortment Planning is distinct for its connected planning model, where assortment decisions sit inside a shared data model tied to merchandise, finance, and supply planning.

Core capabilities include assortment targets, option planning, clustering, scenario comparison, and workflow across markets, stores, and channels. Its value is strongest in enterprises that need API-driven data exchange, governed model administration, role-based access controls, and auditability across a broader Anaplan planning estate.

An in-memory data model and tightly linked planning apps make Board distinct from assortment tools that rely on looser BI layers. Board combines assortment planning, merchandising analysis, budgeting, and simulation in one schema, which reduces handoffs between planning cycles and reporting views.

Integration depth is solid through REST API access, data connectors, and orchestration support for external warehouses and ERP sources. Admin coverage includes role-based access, workflow configuration, auditability, and governed application deployment across sandbox and production environments.

Within assortment planning, Centric Planning focuses on retail range decisions tied closely to merchandise and product data. Centric Planning is distinct for its connection to the wider Centric product ecosystem, which links planning inputs with PLM, sourcing, and product attributes in a shared data model.

Core capabilities cover assortment building, option and SKU planning, financial targets, scenario comparison, and role-based workflows across merchandising teams. Its value is strongest for retailers that want tighter integration, governed configuration, and structured planning data rather than a broad external API and automation layer.

Assortment planning, demand alignment, and merchandise financial planning sit at the core of SAS Intelligent Planning Suite. SAS Intelligent Planning Suite is distinct for its SAS data model, tight linkage with enterprise data pipelines, and governance controls that suit large retail organizations with strict admin requirements.

Core capabilities cover assortment planning, item clustering, localization, forecasting inputs, scenario analysis, and plan reconciliation across merchandise hierarchies. Integration depth is a major strength because SAS supports API-based connectivity, batch data exchange, role-based access control, and auditable workflows that fit established retail IT environments.

Retail teams that build collections visually across stores and catalogs fit Visual Retailing best when line planning starts with product presentation. Visual Retailing centers its workflow on assortment boards, range planning, and visual line architecture, with links to product data, attributes, and merchandising structure.

The data model appears geared to style, color, size, look, and collection relationships rather than broad enterprise planning schemas. Integration and automation depth look narrower than API-first planning suites, which makes it better suited to merchants that prioritize visual assortment decisions over heavy cross-system orchestration.