Fashion changes quickly, what sells today might not sell at all next season. For many brands, being creative isn't enough to stay on top today. It's all about having the correct mix of products ready when customers want them, as well as having the right data and timing.

That’s why fashion brands and retailers need smarter assortment planning tools. Without guesswork or endless spreadsheets, these tools help you see what’s working, forecast what’s next, and plan collections that actually sell. They bring together sales data, market trends, and inventory insights so you can build smarter assortments.

In this post, we’ll break down 11 best assortment planning software for fashion trusted by fashion brands around the world.

Key Features of a Fashion Assortment Planning Software

• Collection and Line Planning: Organize styles by season, theme, or drop to keep your product mix balanced and on-brand. 

• SKU-Level Insights: Monitor sales by size, color, and style to adjust your assortment in response to actual demand. 

• Demand Forecasting: Plan the appropriate amounts, cut down on overstock, and satisfy consumer demand by using AI-driven forecasts. 

• Store and Channel Clustering: Change the assortments based on the type of store, the region, or the online channel for more localized planning. 

• Scenario Modeling: Try “what-if” changes, such as changing prices or discontinuing styles, and see the results right away.

• Real-Time Dashboards: Let the design, merchandising, and planning teams all work with the same live data.

• Integration with Other Systems: Sync easily with ERP, PLM, and POS systems to keep all data connected and current.

• Visual Merchandising Support: View collections visually to balance colors, sizes, and categories before finalizing assortments.

• Analytics and Reporting: Get performance data from sell-through rates to margin analysis to plan future collections and increase profits.

10 Best Assortment Planning Software for Fashion

Nūl

Nūl is a new-generation assortment planning platform built specifically for the fashion industry. It combines data science and visual planning tools to help brands design, plan, and manage collections more intelligently. The platform focuses on turning complex product, color, and size data into simple, actionable insights, teams thus plan assortments that actually match customer demand.

Key Features:

• Dynamic Assortment Snapshot: The dashboard provides a quick overview of size, color, and price distribution. You can quickly see which SKUs or colors are too few or too many.

• Size & Color Curve Analysis: Track performance by size, color, etc. to optimize your ratio and minimize stock imbalances.

• Price & Margin Distribution: Show how your products are spread out over different price ranges. This helps keep high-end and low-end items in balance.

• Product Mix Breakdown: See contribution at category level and look at specific items with sell-through rates and stock levels.

• Real-Time Data Sync: Combines sales, inventory, and marketing analytics in one place to get the whole picture before approving order purchases or inventory replenishments.

• AI-Driven Recommendations: Nūl’s agentic AI engine helps spot changes in demand early on and suggests changes to assortments based on how well they sell and market trends.

Pros:

• Visually intuitive dashboards that simplify complex data. 

• Strong balance between creativity (designing a collection) and analytics (making predictions). 

• Real-time collaboration amongst the teams that handle inventory, planning, and merchandising.

Cons: Newer platform, thus fewer long-term enterprise case studies compared to older players.

Pricing: Custom

Nūl is a new-generation assortment planning platform.

o9 Solutions

o9 Solutions is an enterprise AI-powered planning platform with a strong Assortment Planning module. Their method focuses on hyper-localized product placement, scenario simulation, and connecting with end-to-end planning. They present assortment planning as an essential part of a broader planning ecosystem (finance planning, allocation, replenishment, etc.) rather than as a stand-alone function.

Key Features:

• Hyper-localized Assortments: Use attribute-based logic and demand signals to customize assortments by region, store cluster, or micromarket. 

• AI/ML Intelligence: Use predictive analytics and ML to anticipate demand shifts and guide mix decisions.

• Scenario Simulation: Model multiple “what-if” scenarios (e.g. shifting size/colour splits, markdown strategies) and see their impacts. 

• Integrated Flow: Once assortments are set, downstream planning (allocation, replenishment) is tied in.

• Rule-based Constraints: Embed constraints (e.g. supplier minimums, lead time, fabric limits, margin thresholds) into the planning process so that any recommended assortment is possible. 

• Real-Time Feedback: Assortments can be adjusted as needed during the season by continuous updates with sales, inventory, and trend signals.

Pros:

• Enterprise-scale, proven in complex environments with high data volume and complexity.

• It is strong enough for real-world situations since it can add business rules, constraints, and scenario testing.

Cons: May be overkill for small or midsize fashion brands that don’t need full IBP or advanced modules.

Pricing: Custom

o9 Solutions is an enterprise AI-powered planning platform. (Source: o9 Solutions)

Centric Software

Centric Software offers a suite of solutions for fashion/retail brands, and its Assortment Planning capability is embedded under Centric Planning. The tool helps brands turn product ideas into optimized collections for financial goals and manages complexity across multiple channels and marketplaces. Centric combines AI, automation, and visualization to help planners balance between style mix, inventory, margins, and sell-through.

Key Features:

• AI-Driven Optimization: Uses predictive analytics and algorithms to help reduce overstock and underbuying.

• Scenario Modeling: Test changes to assortment mixes, price points, and inventory constraints before committing.

• Integrated Workflow Across Modules: Assortment planning is connected with demand planning, allocation, replenishment, and financial planning.

• Automation: Frees planners to focus on strategic decisions by automating repetitive computations and processes.

• Omnichannel Synchronization: Unified planning for wholesale, direct-to-consumer, brick-and-mortar, and ecommerce channels.

• Visual Boards: Visual tools to help teams see how assortments shape up, visually aligning merchandising and planning.

Pros:

• Merchandising, replenishment, allocation, and planning are all deeply integrated, keeping everyone in sync.

• Visual planning tools help non-technical teams use analytics and mix decisions.

Cons: Setup and integration may require effort and technical support.

Pricing: Custom

Centric Software offers a suite of solutions for fashion/retail brands. (Source: Centric Software)

Style Arcade

Style Arcade is a fashion-centric retail analytics and assortment planning platform. It helps merchandisers, buyers, and planners make better choices about what to stock based on visual tools, AI suggestions, and real-time data. The goal is to make it easier to get actionable insights in a more visual way and less dependent on spreadsheets.

Key Features:

• Deep Planning: Plan width, depth, margin mix, and core vs fashion styles by week, month, or season. 

• Location Customization: Change the assortments based on the store grade, size, climate, region, or collection, and then look at the visual merchandising layouts. 

• Size & Buy Calculators: Use AI tools to identify the best size curves and buy amounts based on style, color, and region. 

• Drag-and-Drop Visualization: You can use visual tools to move goods, collections, and styles around to see how assortment vs. OTB, margins, and delivery change.

• Performance Reporting: Rollup reporting by store, region, or channel; saved report templates; insights into size / color performance; aged inventory analysis. 

• Deep Tagging: Attributes and tags help detect demand variation by market and support more precise assortments. 

• Data Imports: Supports APIs and Excel/CSV uploads for product data, line sheets, stock files. Real-time connectivity to ERP/PLM is also part of the offering. 

Pros:

• Good support for store / market-level tailoring (geo / climate differentiation)..

• Clearly built by people who understand buying and merchandising pain points.

Cons: Some users report occasional issues with data accuracy, integration delays, or performance lag depending on data volume. 

Pricing: Custom

Style Arcade is a fashion-centric retail analytics and assortment planning platform. (Source: Style Arcade)

EDITED

EDITED is a retail intelligence & analytics platform that offers an Assortment module. Not a traditional “assortment planning + allocation engine,” EDITED’s strength lies in combining internal performance data (your sales, inventory, etc.) with external market/competitive data to inform assortment decisions. It helps fashion brands find gaps, compare themselves to their competitors, and identify white -space opportunities for their assortments. 

Key Features:

• Assortment Opportunity Identification: Based on internal and market signals, point out which SKUs or goods you should add, highlight, cut back on, or avoid. 

• Gap Detection: Surfaces gap in your current assortment vs the market — regions, categories, styles, or segments where competitors have presence but you don’t. 

• Competitive Benchmarking: Compare your assortment mix (by category, color, pattern, price bands) against peers / competitors. 

• Performance Overlay: Layer your performance metrics (e.g. sales, inventory, returns, margin) on top of assortment analytics to decide what’s working and what isn’t. 

• Basket/Co-Purchase Analysis: Examine which products are frequently bought together (basket affinity) and use that to influence assortment or cross-merchandising choices. 

• Geographic Support: Detect regional differences in trends to localize assortments by market. 

Pros:

• Strong at market intelligence + competitive benchmarking, which other planning tools don’t emphasize.

• Less “heavy” than full ERP / planning suites, lower risk or barrier to entry if your aim is insight augmentation.

Cons: The accuracy / usefulness depends heavily on the quality of your internal data and how well EDITED’s market data covers your specific markets.

Pricing: Custom

EDITED is a retail intelligence & analytics platform. (Source: EDITED)

Toolio

Toolio is a retail planning tool that focuses on AI-powered assortment planning. It helps you combine your creative merchandising ideas with data insights. As its promise to help you "get the right mix, with breadth & depth rationalization", you can make the greatest buys from your assortment plans. Toolio focuses on visual line sheets, PLM integration, and connecting planning to execution (purchase orders and restocking).

Key Features:

• AI-Driven Mix Optimization: Use AI and historical data to propose the best mix of SKUs and keep against over-assortment. 

• Visual Line Sheets: Show product images, filter, group, and sort assortments visually (not just numbers) to support merchandising decisions. 

• Top-Down / Bottom-Up Reconciliation: Connect merchandise plans (budgets, targets) with detailed assortment plans to spot gaps and ensure alignment. 

• PLM / Style Integration & Placeholders: Pull in product styles from PLM or style bank; use placeholders in early assortment phases until final styles are confirmed. 

• Clustering: Support store clustering (based on geography, space, demand patterns) and allows assortment plans to be tailored per cluster. 

• Promotion / Markdown Impact Modeling: Use calendars for promotions and the effects of discounts in forecasting and assortment planning.

• Assortment Snapshots: Monitor the changes in assortments over time (pre-season vs in-season), filter by attributes, and see changes.

Pros:

• Good balance between merchandising visualization (line sheets, galleries) and data/analytics.

• Integration with PLM / placeholders helps early-stage planning before styles are fully finalized.

Cons: You could need additional custom logic for very specific or unusual fashion limitations (such as fabric yield constraints or extremely quick drop cycles).

Pricing: Custom

Toolio is a retail planning tool that focuses on AI-powered assortment planning. (Source: Toolio)

Increff

Increff is a retail SaaS firm that helps brands and retailers improve their operations by providing solutions for merchandising, inventory, and the supply chain. Its platform has modules for assortment planning, merchandise planning buying, allocation, replenishment, and inventory optimization.

Key Features:

• Local Demand Profiling: Build a demand profile (or “DNA”) for each store or location based on historical sales, seasonality, and attributes. It also groups stores (or locations) with similar demand or profile stores so that they can share or come up with similar assortment logic. 

• Width & Depth Optimization: Recommend how many styles (width) and how many units per style (depth) should go to each location

• True Size Set Optimization: Predict appropriate size splits within each SKU to reduce size mismatches and stockouts for popular sizes. 

• Bestseller Identification: Flag core, top-seller, or always-in-stock SKUs (“Never Out Of Stock” / NOOS) so that key performers are prioritized in allocations. 

• Attribute-Level Prediction: Analyze many product attributes (they claim up to 17 levels) when forecasting demand or recommending assortments. 

• Buying Integration: Connect assortment plans to buying decisions (such making purchase orders and reordering), as well as allocation and replenishment operations. 

• Visual Tools: Support line planning for both new and old styles, with controls to modify assortment mix.

Pros: 

• Simple, intuitive interface for quick adoption by merchandising teams.

• Proven success in boosting sell-through and inventory efficiency across major retailers.

Cons: Full execution capabilities may be limited. It may not cover every nuance of allocation, constraints, or extreme fashion workflows (unless customized).

Pricing: Custom

Increff is a retail SaaS firm that helps brands and retailers improve their operation. (Source: Increff)

Solvoyo

Solvoyo is a cloud-based platform for retail planning and analytics with a dedicated Assortment Planning solution. To help planners make better, quicker decisions in dynamic marketplaces, their approach focuses on localizing assortments, integrating merchandising and finance operations, and utilizing AI/ML. Solvoyo tackles retail operations in multi-market and omni-channel settings.

Key Features:

• Assortment Localization: Adjust which SKUs, style mixes, and timing each store or cluster receives.

• Machine Learning Forecasting: Change forecasts for factors like stockouts, promotions, weather effects, or new store openings. 

• Integrated Financial Planning: Connect assortment planning with merchandising visuals and financial analysis (e.g. margin, budget) in a unified workflow. 

• Real-Time Visibility: Approved styles, allocations, and decisions are viewable in real time, helping merchandisers, planners, and leadership stay aligned. 

• Visual Reports: Let users review collections by store segment, channel, or collection; the UI and dashboards are configurable to suit business needs. 

Pros: 

• Helps tailor assortments by store cluster or region — ideal for fashion brands in diverse markets.

• AI tools cut down manual work, flag issues early, and speed up decision-making.

Cons: Integration into existing ERP, PLM, or legacy systems may require much technical work.

Pricing: Custom

Solvoyo is a cloud-based platform for retail planning and analytics. (Source: Solvoyo)

AssortSmart (Impact Analytics)

AssortSmart is an AI-native assortment planning solution offered by Impact Analytics. Its goal is to simplify and automate the complex task of creating localized, SKU-level assortments, especially for retailers operating across diverse markets. They claim reductions in the time spent planning, improvements in inventory turns, and margin uplift.

Key Features:

• AI-Native Assortment Optimization: Uses machine learning to generate localized SKUs, balancing depth vs breadth. 

• Intelligent Clustering: Clusters stores (or markets) based on demand, sales behavior, product mix, and attributes to drive differentiated assortments.

• “What-If” Scenario Modeling: Simulate changes (e.g. shifts in size splits, new styles, discounting) to see financial / inventory impact before making final decisions. 

• Automated SKU Rationalization: Mark SKUs that aren't selling well or suggest that they be removed or replaced to keep assortments lean.

• Real-Time Adjustments: Suggest mid-season assortment changes based on changes in sales, inventories, or trend indicators.  

• Integration with Other Modules: As a part of Impact Analytics’ suite (e.g. with ForecastSmart, InventorySmart, PlanSmart), it can feed into or draw from those modules for tighter planning and execution.

Pros:

• Recognized by Gartner in the 2024 Gartner Market Guide for Retail Assortment Management as a representative vendor.

• Automates repetitive parts of the planning process.

Cons: It may not handle every part of execution (allocation, replenishment) with the same level of detail. Its strength is in planning and optimization, not logistics.

Pricing: Custom

AssortSmart is an AI-native assortment planning solution offered by Impact Analytics. (Source: AssortSmart)

RELEX

RELEX is a unified retail and supply chain planning platform with a strong Assortment Planning module. It connects assortment planning with other parts of the business from forecasting to replenishment to ensure every product mix aligns with customer demand and supply limits. The tool creates shopper-centric, store-specific assortments and utilizes attribute-based forecasting to introduce new products and optimize SKU performance.

Key Features:

• Store-specific Assortments: Customize assortments for each store or cluster to meet local demand and shopper preferences. 

• Attribute-based Forecasting: Forecasts performance of new SKUs without history using attribute similarity (category, brand, price, etc.). 

• Space + Assortment Integration: They integrate planogram / shelf / floor space constraints into assortment decisions. 

• SKU Optimization: Underperforming SKUs are identified and recommended for removal or replacement to enhance margin and turnover. 

• Unified Platform: Assortment changes directly affect replenishment and space planning modules. 

Pros:

• Named a Leader in the IDC MarketScape for AI-driven assortment planning solutions

• Recognized for handling large SKU assortments and automating complex tasks (clustering, scheduling).

Cons: Because RELEX is broad and enterprise-grade, implementation can be complex and resource-intensive.

Pricing: Custom

RELEX is a unified retail and supply chain planning platform. (Source: RELEX)

Conclusion

Assortment planning involves combining creativity and statistics to create faster, smarter judgments. Fashion patterns change every season and demand changes overnight, thus the correct software may make or break a sale.

Each of the aforementioned assortment planning software for fashion brings its own strengths. Your brand's size, goals, product variety, and planning process determine the best option. So, think carefully about these factors before choosing a solution.