Top 10 Best Assortment Optimization Software of 2026

Anaplan for Retail Assortment Planning provides assortment planning workflows that connect item attributes, store or cluster coverage, and scenario results into a single planning environment. The operational pattern fits retailers that run a range review cycle with recurring demand and space assumptions, because model calculations update instantly when planners adjust levers. Connectivity is built around import and export patterns that align with retail feed processes, including item hierarchy sync and attribute taxonomy alignment.

A key tradeoff is that the value depends on the quality of item and location master data mapped into the planning model, because incorrect attribute relationships lead to bad assortment simulation outputs. Teams get the best usage when they need a controlled workflow for space-aware assortment decisions and then hand outputs to merchandising financial planning or downstream planogram processes.

Aptos Merchandise Financial Planning and Assortment targets assortment planning tied to financial planning cycles, with simulations that translate proposed assortment moves into measurable impacts. The system supports item hierarchy sync so merchandising teams can plan at category, brand, and item levels without manually rebuilding mappings each cycle. It also fits organizations that need range rationalization workflows with structured approvals and repeatable store or cluster segmentation logic.

A key tradeoff is that accurate simulations depend on disciplined upstream data for item hierarchy sync and attribute taxonomy coverage. It fits best when a retailer runs a recurring range review cycle and needs controlled JBP handoff outputs that stay aligned with the financial planning model.

Board Retail Merchandise Planning fits teams that need assortment planning embedded in day-to-day merchandising routines such as range review cycle cadence and structured updates to item hierarchies. It supports simulation-style evaluation through scenario management, which helps planners compare planned changes across stores and clusters before committing. The tool also supports planogram integration workflows by carrying assortment decisions into space-aware merchandising views.

A key tradeoff is that assortment optimization outputs still depend on clean product and location structures, because misaligned hierarchies or store clustering create misleading scenario comparisons. Board Retail Merchandise Planning is best used when the organization already runs a consistent assortment review cycle and wants governance and repeatability across seasonal phasing.

RELEX Assortment Planning focuses on space-aware range decisions that connect store clustering, inventory constraints, and financial impacts into an iterative planning loop. The solution supports assortment optimization workflows that use planogram constraints and item hierarchy alignment to keep assumptions consistent from analysis through to review cycles.

It also provides integration and automation options that fit enterprise merchandise planning environments that need repeatable imports, controlled scenario runs, and governance-friendly outputs. For teams comparing assortment optimization tools, RELEX is distinct in how it treats location-level availability and space constraints as first-class inputs to range rationalization.

o9 Assortment Planning optimizes assortments by combining scenario planning with constraints across products, stores, and time. It focuses on range rationalization through structured item hierarchies, plan-to-plan comparisons, and merchandising constraints that affect space and availability.

The workflow is built around what-if simulations, so merchandising, forecasting, and execution teams can iterate on assortment breadth and depth-of-range without rebuilding spreadsheets. Integration depth is centered on connecting upstream demand and POS inputs to planning outputs that support downstream merchandise financial planning link handoffs.

Oracle Retail Assortment Planning targets assortment optimization teams that need integrated planning across item hierarchy, store-cluster segmentation, and downstream range execution. The workflow supports assortment simulation and range rationalization using space-aware constraints so recommendations reflect shelf and capacity limits.

Integration with Oracle Retail merchandising and planning components supports repeatable range review cycles and seasonal phasing, with inputs designed for JBP handoff. Configuration centers on enterprise governance, including role-based access and controlled publishing of assortment results into store planning processes.

ToolsGroup Retail Assortment Planning focuses on space-aware, constraint-driven assortment recommendations tied to real store capacity and merchandising rules. The workflow supports range review cycles with assortment simulation, scenario comparison, and plan-to-plan adjustments that can feed JBP handoff outputs.

Retail attribute hierarchies and store clustering enable locational decision logic so recommendations shift across store formats instead of using a single global range. Governance is handled through configuration controls around optimization inputs, rule sets, and repeatable planning runs for auditability.

Quant Retail Assortment Optimization focuses on range rationalization workflows built around retailer assortment decisions rather than generic planning templates. It supports space-aware assortment evaluation to compare candidate changes against store or cluster constraints, and it generates SKU-level recommendations for assortment breadth and depth-of-range adjustments.

The product is built for iterative range review cycles, with what-if simulation runs that account for demand transfer patterns when candidate lineups change. Integration is centered on merchant data inputs such as item hierarchies and POS-based performance signals used to drive recommendation cycles.

DotActiv Assortment Planning builds a workflow for range reviews by combining item selection rules with space-aware constraints across channels. It supports assortment simulation using attribute-based grouping, so teams can test breadth and depth-of-range changes before publishing.

Configuration focuses on merchandising hierarchies, seasonal phasing, and store-cluster segmentation to guide decisions during a range review cycle. The product is also positioned for integration with upstream item and pricing sources via its API and import formats to keep assortment edits consistent.

Focal Systems Assortment Optimization targets teams that run range rationalization and store-by-store assortment planning with strong merchandising workflow needs. It focuses on space-aware assortment decisions, including planogram and store-cluster segmentation inputs, then turns those choices into actionable item lists.

Range changes can be evaluated against demand impact patterns using substitution and demand-transfer style logic during the range review cycle. The product is typically deployed where assortment rules, merchandising calendars, and hierarchy mapping are already standardized across the enterprise.