GITNUXSOFTWARE REVIEW
Consumer & RetailTop 10 Best Retail Assortment Planning Software of 2026
Compare retail assortment planning software options and key tradeoffs for retailers planning assortments, using tools like SAP CAR.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Relex Solutions is the best overall pick for inventory planning teams making store-specific assortment calls because its optimization workflows stay linked to replenishment and availability logic, keeping governance and iterations aligned, while DotActiv fits SMB teams that want cluster-based, rule-consistent assortment planning outputs.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Relex Solutions
Assortment optimization workflows that remain connected to replenishment and inventory availability logic.
Best for: Fits when inventory planning teams need store-specific assortment decisions tied to availability and change governance.
SAP CAR
Editor pickAssortment planning aligned to SAP merchandise and store hierarchy synchronization to keep localized plans consistent.
Best for: Fits when retail teams need assortment planning tightly governed by merchandise and store hierarchy structures.
Anaplan
Editor pickAnaplan model logic provides scenario control with consistent calculations across linked planning outputs.
Best for: Fits when inventory planning teams need governed assortment calculations across complex hierarchies and repeated cycles.
Comparison Table
Relex Solutions
enterpriseUnified retail planning covering assortment, space, and demand.
Assortment optimization workflows that remain connected to replenishment and inventory availability logic.
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.
- +Strong linkage between assortment decisions and replenishment constraints
- +Automation workflows reduce manual reruns across store clusters and periods
- +Integration-oriented interfaces support merchandise hierarchy and item mapping
- +Governance tooling supports controlled change management for planning runs
- –Model setup and data governance require sustained planning discipline
- –Customization depth can increase time-to-production for complex chain structures
- –Advanced scenarios can demand specialist support to tune optimization behavior
- –Export and POS syndication workflows may require external mapping steps
Retail merchandising and allocation teams
Allocate assortment changes across store constraints
Clear store-level trade-offs
Retail space and category planners
Compare layouts with store capacity limits
Traceable layout approvals
Show 2 more scenarios
Retail demand planning teams
Create multi-store forecast baseline
Repeatable forecast baseline
Forecasts demand across stores, products, channels, and retail events to support recurring merchandising and supply inputs.
Retail workforce operations planners
Align workforce plan with store operations
Workforce plans align
Coordinates workforce requirements with store planning activities so staffing matches operational needs at the store level.
Best for: Fits when inventory planning teams need store-specific assortment decisions tied to availability and change governance.
SAP CAR
enterpriseSAP Customer Activity Repository for retail assortment and demand planning.
Assortment planning aligned to SAP merchandise and store hierarchy synchronization to keep localized plans consistent.
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.
- +Strong merchandise and store hierarchy synchronization for consistent assortment logic
- +Planning workflows support repeatable assortment change cycles across store clusters
- +Integration alignment with SAP retail data governance reduces downstream mismatch risk
- +Extensibility supports connecting assortment outputs to adjacent retail planning steps
- –Requires disciplined hierarchy setup to avoid cascading assortment errors
- –Automation breadth depends on integration scope with upstream and downstream systems
- –Iteration speed can drop when merchandising trees are large and frequently revised
Merchandise hierarchy owners
Sync assortments across merchandise structures
Consistent catalog governance
Retail planning operations teams
Run repeatable assortment change workflows
Repeatable planning runs
Show 2 more scenarios
Retail store cluster managers
Standardize assortments across clusters
Cluster-consistent assortment plans
Uses store clustering to keep localized assortments consistent with category governance across stores.
Integration-focused retail planners
Extend planning into adjacent processes
Connected planning execution
Uses integration extensibility points to connect assortment planning with adjacent retail process workflows.
Best for: Fits when retail teams need assortment planning tightly governed by merchandise and store hierarchy structures.
Anaplan
enterpriseConnected planning platform adaptable for retail assortment planning.
Anaplan model logic provides scenario control with consistent calculations across linked planning outputs.
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.
- +Single model supports assortment scenarios and linked operational planning outputs
- +Governed calculations reduce drift versus ad hoc spreadsheets
- +Extensibility supports integration-based workflows across planning systems
- +Strong handling of large hierarchy structures for stores and merchandise
- –Model governance and data mapping add setup and ongoing administration
- –Assortment optimization requires careful logic design for usable tradeoffs
- –Complexity rises with multiple teams and cross-functional ownership
- –Some workflow UX needs tighter process design than spreadsheets
Retail inventory planning teams
Run store-cluster assortment scenarios
Faster store-by-store decision cycles
Merchandising analytics teams
Attribute scoring across hierarchies
More consistent SKU selection
Show 2 more scenarios
Supply chain planning teams
Replenishment-ready plan outputs
Less rework between planning stages
Supply chain teams use model outputs as inputs for replenishment planning and operational reviews.
Enterprise data and systems teams
Integrate master and transactional inputs
Fewer manual spreadsheet handoffs
Systems teams automate data movement so hierarchy and planning inputs stay synchronized for each cycle.
Best for: Fits when inventory planning teams need governed assortment calculations across complex hierarchies and repeated cycles.
DotActiv
SMBRetail category management and assortment planning software.
Cluster-based assortment planning that applies SKU and attribute rules consistently across store groups with downstream-ready plan outputs.
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.
- +Cluster-based assortment workflows reduce repeated manual store adjustments
- +Rule-driven SKU rationalization supports repeatable range changes
- +Merchandise hierarchy alignment supports consistent localized assortment governance
- +Integration touchpoints support handoff from plan outputs to downstream execution
- –Initial workflow and hierarchy setup requires merchandising discipline
- –Complex localized width-depth scenarios can increase planning cycle time
- –Advanced scoring requires careful configuration of attribute inputs
- –External data dependencies can limit planning throughput when feeds lag
Assortment managers
Localized range updates by store cluster
Fewer exceptions and faster releases
Merchandising ops teams
SKU rationalization across hierarchies
More consistent rationalization decisions
Show 2 more scenarios
Inventory planning leaders
Initial buy plan handoff
Cleaner end-to-end planning handoffs
Turn finalized assortment outputs into buy planning inputs tied to replenishment linkage requirements.
Data integration teams
Master data and hierarchy mapping
Lower mapping maintenance overhead
Connect assortment planning inputs to external master data sources to keep merchandise hierarchy synchronized.
Best for: Fits when inventory planning teams need governed, cluster-based assortment workflows with integration to OTB and replenishment.
Aptos
enterpriseRetail merchandise planning and assortment solutions.
Planogram compliance checks run against planning outputs to flag fixture conflicts during assortment refinement, not after publication.
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.
- +Space-aware modeling links assortment choices to store layout constraints
- +Planogram compliance workflows help prevent fixture conflicts before publishing
- +Merchandise hierarchy synchronization supports controlled updates across stores
- +Automation and API integration reduce manual rework between planning stages
- –Requires strong initial configuration of rules, attributes, and store segmentation
- –Optimization cycles can become slow at very high SKU and store counts
- –Change management needs clear ownership to avoid hierarchy drift during iterations
- –Some planning steps rely on connected upstream data quality for accurate outputs
Merchandising operations teams
Validate store assortment against fixtures
Fewer fixture conflicts after publish
Inventory planning teams
Derive initial buy from assortment
More consistent launch inventory targets
Show 2 more scenarios
Retail analytics teams
Maintain hierarchy consistency across plans
Reduced rework from hierarchy drift
Apply merchandise hierarchy updates so assortment scenarios and store views stay aligned.
Systems integration teams
Connect planning with upstream and downstream systems
Faster refresh of planning data
Use API and automation hooks to sync product master and planning outputs across retail workflows.
Best for: Fits when large inventory planning teams need space-aware assortment and planogram compliance at store scale.
Retalon
enterpriseAI-powered retail planning for assortment, pricing, and inventory.
Assortment rule execution with hierarchy synchronization that keeps SKU placement consistent during plan revisions.
Retalon supports assortment planning workflows that connect product hierarchies, store or cluster segmentation, and localized buying decisions in one planning cycle.
- +Workflow-oriented assortment iterations with approval checkpoints
- +Hierarchy consistency checks reduce drift between merchandising and store views
- +Configuration-based rules support localized assortment outcomes
- +Audit-friendly change history supports cross-team review
- –Integration setup for OTB and downstream planning exports can take time
- –Complex cluster modeling requires careful upfront data mapping
- –Advanced optimization depth is narrower than systems focused on math-heavy planning
- –Large catalog performance depends on rule granularity and dataset sizing
Category managers and assortment planners
Define seasonal store mixes from clusters
Controlled seasonal assortments
Retail buyers and merchandise planners
Build buy matrices from attributes
Initial quantities reflect constraints
Show 2 more scenarios
Retail planning governance teams
Manage approvals across recurring cycles
Audit-ready planning decisions
Manages approvals, lifecycle status, rule inputs, exceptions, and publishing for recurring assortment planning workflows.
Promotion pricing and inventory teams
Coordinate promotions and markdown actions
Consistent promo and markdown plans
Coordinates promotional and markdown actions across SKU and assortment levels inside a governed pricing cycle.
Best for: Fits when retailers need controlled, hierarchy-aware assortment iterations across clustered stores.
SymphonyAI Retail CPG
enterpriseAI-driven assortment and category management for retail and CPG.
Configurable assortment planning workflows that enforce merchandising hierarchy and SKU mapping consistency during scenario execution.
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.
- +Strong configuration-first workflow for turning merchandising rules into store-ready plans
- +Clear SKU-to-assortment mapping support for reducing manual crosswalk work
- +Scenario-based planning design for comparing changes across clusters and tiers
- +Exception handling paths that keep hierarchy alignment problems visible
- –Integration effort rises when assortment inputs live in multiple systems
- –Assortment tuning requires governance discipline to keep rules consistent
- –UI coverage for day-to-day edits is narrower than spreadsheet-heavy workflows
- –Limited evidence of end-to-end planogram compliance analytics in planning outputs
Inventory planning teams
Validate assortment plans for store needs
Less manual alignment work
Planogram and hierarchy alignment owners
Handle exceptions for alignment issues
Fewer alignment exceptions
Show 2 more scenarios
Merchandising operations analysts
Map SKUs to assortments with rules
Repeatable assortment mapping
Creates SKU-to-assortment mapping and runs configurable workflows using merchandise hierarchy and item attributes.
Retail execution coordinators
Feed outputs to downstream execution
Execution-ready planning outputs
Structures configuration and data alignment so assortment outputs transfer to downstream retail execution workflows without reconciliation.
Best for: Fits when inventory planning teams need rule-driven assortment scenarios with store-grade hierarchy alignment.
FuturMaster
enterpriseRetail demand and assortment planning with SaaS deployment.
Planning scenario management that keeps computed assortment outputs linked to the exact rule inputs used for each iteration.
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.
- +Workflow-based planning steps reduce manual rework across scenarios
- +Supports assortment building from merchandise hierarchies and attribute inputs
- +Cluster-driven logic helps standardize localized choices
- +Scenario outputs stay traceable from inputs through computed selections
- –Complex rule sets require disciplined configuration ownership
- –Deep integration with external planning ecosystems can require custom mapping
- –Large catalog performance depends on data preparation quality
- –Some refinement loops are slower without curated planning templates
Retail merchandise and allocation planners
Allocate assortments using allocation rules
Store-level allocation decisions
S&OP and finance-linked planners
Test scenarios for operational and financial review
Traceable scenario decisions
Show 2 more scenarios
Supply planners and operations teams
Evaluate supply options under constraints
Feasible plans with trade-offs
Evaluates supply options across time while accounting for capacity, lead times, dependencies, and changing demand.
Retail demand, marketing, and merchandising
Include promotions and calendar event effects
Plans reflect promo demand
Incorporates promotion effects and calendar events into demand, inventory, replenishment, and merchandising plans.
Best for: Fits when retail inventory planning teams need repeatable, rule-driven assortment workflows with cluster-based standardization.
SAS Merchandise Intelligence
enterpriseRetail assortment and merchandise planning analytics.
SAS optimization-driven assortment scenario modeling with planning-run repeatability for store-cluster decisions.
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.
- +Scenario modeling supports repeatable assortment planning runs across store clusters
- +Hierarchy and assortment alignment workflows reduce cross-store decision drift
- +Analytics and optimization are built for measurable retail planning outcomes
- +Enterprise governance fit is stronger than many planning tools in this tier
- –Implementation typically demands dedicated data engineering for clean inputs
- –User interface workflows can feel heavier than UI-first planogram tools
- –Integration depth can require SAS-centered orchestration work for non-SAS estates
- –Fewer native merchandising planning templates than some point solutions
Inventory planning analysts
Model localized assortment outcomes
Localized assortment results
Merchandising operations teams
Align hierarchies and merchandising plans
Consistent cluster assortments
Show 2 more scenarios
Planning measurement teams
Score assortment inputs against results
Measured sales and inventory impact
Prepares data, scores inputs, and reports sales and inventory effects tied to assortment planning decisions.
Governance-focused planning teams
Run repeatable enterprise planning cycles
Governed repeatable planning runs
Combines analytics execution with enterprise-grade governance so planning runs remain repeatable and auditable for inventory planning.
Best for: Fits when teams need enterprise governance for scenario-based assortment planning tied to measurable inventory effects.
ToolsGroup
enterpriseDemand forecasting and assortment planning for retail supply chains.
Constraint-driven planning that links merchandising hierarchy decisions to store-level assortment and layout compliance.
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.
- +Optimization workflows connect assortment inputs to store-ready recommendations
- +Strong hierarchy handling for store and merchandise alignment
- +Integration-oriented planning runs support enterprise data refresh cycles
- +Configuration supports repeatable planning scenarios without rebuilding logic
- –Setup requires disciplined mappings between items, hierarchies, and store clusters
- –Workflow flexibility can lag compared with systems built around spreadsheet-like editing
- –Planogram constraint coverage depends on how layout data is provisioned
- –High automation increases reliance on well-tuned business rules
Wholesale demand planners
Reconcile forecasts across product assortment levels
Consistent planning targets
Retail and CPG planning teams
Forecast demand using causal drivers
Causal-factor demand forecasts
Show 2 more scenarios
Supply chain and S&OP teams
Compare scenario trade-offs across objectives
Clear trade-off visibility
Compares planning assumptions across demand, supply, capacity, and service objectives to evaluate alternative plans.
Inventory and replenishment planners
Recommend replenishment across locations
Visible service risks
Plans purchase or production quantities across locations while accounting for supply constraints and service goals.
Best for: Fits when inventory planning teams need optimization-driven assortment outputs with hierarchy and constraint validation.
Conclusion
After evaluating 10 retail assortment planning software, Relex Solutions stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Frequently Asked Questions About Retail Assortment Planning Software
How do Aptos, Anaplan, and DotActiv handle plan outputs to downstream replenishment workflows?
Which platforms provide scenario-based planning control for repeated assortment iterations across large hierarchies?
When does planogram compliance belong inside the assortment planning workflow instead of after publishing?
What breaks if store clustering or merchandise hierarchy synchronization is incomplete in SAP CAR and Retalon?
How do admin controls and auditability differ across Relex Solutions and SAS Merchandise Intelligence?
What integration and API capabilities matter most for connecting assortment planning to product master and hierarchy sources?
Which tools are best suited for attribute-driven assortment decisions in a style-color-size structure?
How do optimization workflows differ between Relex Solutions, ToolsGroup, and SAS Merchandise Intelligence?
What data migration issues commonly appear when onboarding a new assortment planning platform for inventory planning teams?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Retail Assortment Planning Software
We separate options in retail assortment planning by how reliably they translate merchandising inputs into store-ready outputs through the Assortment rules engine, and how deeply Automation and API surface lets you keep that logic aligned across teams. In practice, Integration depth determines whether updates stick—or get rebuilt differently store by store.
Assortment rules engine
Why it matters
An Assortment rules engine is what turns your intent into consistent picks, exclusions, and substitutions. Without clear rules, similar stores drift and buyers lose trust in the plan.
How to check
Ask for a demo that creates an assortment using at least three constraints (for example, minimum facings, category include/exclude, and a substitution fallback). Then check whether the output cites the rule(s) that drove each inclusion or exclusion.
Space-aware capacity handling
Why it matters
Space-aware capacity handling matters when you must fit depth and breadth into real shelf constraints. The best fit prevents overstuffing and reduces last-minute manual edits.
How to check
Request an example where shelf capacity changes (new fixture or store remodel). Verify the tool reruns and reports what moved or dropped, and whether it uses a transparent width-depth tradeoff rather than hidden adjustments.
Merchandise hierarchy and attribute mapping
Why it matters
Merchandise hierarchy and attribute mapping keeps assortment logic consistent when SKUs roll up by brand, department, style, color, or size. If mapping is brittle, automation breaks and reconciliation becomes manual.
How to check
In a sample workspace, load a small set of SKUs and show how attributes flow into decisions (for example, style-color-size matrix). Confirm the system flags missing attributes or unmapped hierarchy nodes during import.
Automation and API surface
Why it matters
Automation and API surface determines how quickly your data refreshes and how often the plan can be re-issued without copy-paste. Better integration breadth reduces rework across planning, buying, and rollout.
How to check
Ask what events or endpoints support update cycles (for example, bulk export of the plan, or pushing new constraints). Look for a sandbox or documented workflow where you run the same logic via API rather than only the UI.
Plan proofing and auditability
Why it matters
Plan proofing and auditability helps teams review why a SKU is in or out before rollout. When provenance is weak, it’s hard to trace changes after buyers adjust constraints.
How to check
Ask for a side-by-side comparison view between a baseline and a revised plan. Check whether each change records who/when and the driver (rule hit, capacity constraint, or attribute change).
Replenishment linkage and OTB constraints
Why it matters
Replenishment linkage and OTB constraints keep assortment planning from producing unrealistic buys or unrealistic inventory commitments. This reduces downstream firefighting when execution systems expect timing and limits.
How to check
Request a scenario that applies OTB-like constraints to initial and subsequent quantities. Verify the tool shows the limiting constraint and rebalances quantities when you adjust lead times or cap rules.
Red flags
- The output has rule-like terms but no trace of which rule actually decided each SKU.
- Capacity changes don’t re-plan cleanly, or reports hide why items moved.
- Imports run but quietly drop unmapped attributes or hierarchy links.
Fit by situation
- If your team relies on repeatable merchandising constraints across stores, prioritize Assortment rules engine.
- If shelf capacity and fixture changes drive constant churn, prioritize Space-aware capacity handling.
- If you need plan changes to propagate into buying quantities, prioritize Replenishment linkage and OTB constraints.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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