Top 10 Best Retail Assortment Planning Software of 2026

Aptos centers assortment planning workflows around store clustering inputs, localized assortment design, and store-grade segmentation so different neighborhoods and banners can receive tailored ranges. It supports planogram compliance work so width-depth choices can be validated against shelf and fixture constraints during planning. Compared with many assortment tools, Aptos places more emphasis on keeping merchandise hierarchy changes consistent across planning artifacts. That governance fit is strongest when teams already have clean item, style, and location hierarchies and need controlled updates across many stores.

A notable tradeoff is that meaningful results depend on disciplined configuration of category rules, attribute definitions, and store segmentation before optimization outputs are trusted. It fits best when inventory planning teams manage frequent assortment refresh cycles and need repeatable space-aware checks rather than one-off analysis. Use it when integration depth to downstream systems and plan-to-plan consistency matter more than ad hoc spreadsheets.

Anaplan supports assortment planning at scale by letting teams build and version calculation logic tied to merchandise hierarchies and store segmentation, then reuse the same model for localized assortment scenarios. Teams can drive attribute scoring and optimization logic through structured data inputs, then publish plan outputs for review cycles and operational handoffs. Integration depth matters because Anaplan is often used as the system that connects demand signals, product master data, and planning outputs rather than a standalone assortment spreadsheet.

A tradeoff appears when teams need rapid iteration on new data sources and fields, because model governance and mapping work add front-loaded effort. Anaplan fits when retail inventory planning teams already manage complex hierarchy synchronization and want automation that applies across clusters, tiers, and repeated planning cycles instead of per-season rebuilds.

DotActiv is a fit for inventory planning teams that need consistent assortment governance across many stores, because it can manage merchandise hierarchy alignment and localized range variations in the same planning workspace. The workflow emphasis on cluster-based planning supports width-depth tradeoff decisions through repeatable configurations applied to store groups. Core outputs are designed to carry through assortment decisions into initial buy planning and ongoing replenishment linkage rather than ending at analysis dashboards.

A key tradeoff is workflow configuration effort, since rule setup for hierarchy alignment, assortment changes, and downstream mapping needs clear merchandising conventions before scale. DotActiv works best when assortment planning cycles require frequent localized adjustments for store clusters and disciplined SKU rationalization, with handoffs to OTB and replenishment processes handled through defined integrations.

SAP CAR is an SAP retail assortment planning offering that fits tightly into SAP-driven merchandise and store ecosystems, which matters for teams managing shared master data. It supports hierarchy synchronization across merchandise structures and store clustering so localized assortments can stay consistent with upstream catalog governance.

The solution also focuses on planning execution workflows for assortment changes, with extensibility points for integration into adjacent retail processes. For inventory planning teams, its key differentiator is control depth around organizational structures and the repeatability of planning runs across the retail hierarchy.

Relex Solutions performs retail assortment planning by linking store and merchandise constraints to optimization workflows for store-specific decisions. The system supports localized assortment planning tied to merchandise hierarchies and style-color-size style structures used in retail planning.

Relex also includes replenishment and inventory logic that connects initial buy plans and ongoing availability so assortment decisions reflect sell-through and supply realities. Administrators can govern planning changes with role-based access and audit-oriented traceability for configuration and workflow runs.

SAS Merchandise Intelligence supports retailer assortment planning and analytics with a strong focus on store and channel data integration for planning decisions. It provides optimization and scenario modeling for localized assortment outcomes, plus merchandising and hierarchy alignment workflows that keep plan decisions consistent across store clusters and assortments.

The product also includes data preparation, scoring, and reporting capabilities that connect assortment inputs to measurable results like sales and inventory effects. SAS Merchandise Intelligence is distinct in how it ties analytics execution to enterprise-grade governance and repeatable planning runs for inventory planning teams.

ToolsGroup differentiates itself with optimization-first assortment planning that connects merchandising inputs to executable store actions. Core capabilities include SKU and assortment recommendations, planning workflows across a merchandise hierarchy, and planogram compliance checks for layout constraints. The solution is designed for integration with enterprise systems that hold item, location, and replenishment context, plus automation via configurable rules and repeatable planning runs.

FuturMaster targets retail assortment planning with a workflow-first approach for building and maintaining store-level assortments and related constraints. Core capabilities center on importing merchandise hierarchies and attribute data, running assortment logic across clusters, and producing selection outputs aligned to planning rules.

The solution emphasizes automation of recurring planning steps like scenario iteration and assortment maintenance across time periods. Governance shows up through configuration controls that separate planning inputs, computed results, and publishing-ready outputs for downstream channels.

Retalon supports assortment planning workflows that connect product hierarchies, store or cluster segmentation, and localized buying decisions in one planning cycle.

It focuses on configuration-driven planning inputs such as item attributes and assortment rules, then produces store-ready assortment outputs aligned to merchandising structure.

Retalon is distinct for how it handles plan approvals and iteration loops across teams working on the same assortment set.

SymphonyAI Retail CPG targets inventory planning teams that need assortment decisions tied to execution inputs like merchandise hierarchies and item attributes. It focuses on building and validating assortment plans through configurable workflows that connect assortment selections to store-level needs.

Core capabilities include assortment scenario setup, SKU-to-assortment mapping, and exception handling for planogram and hierarchy alignment. The differentiator is how it structures configuration and data alignment so planning outputs can feed downstream retail execution work without manual reconciliation.