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Assortment Planning Reimagined: turn Data into Demand-Driven decisions
Build the Right Product Mix for Every Channel and Market

Our Demand Intelligence Solution
Stealth® AI – PLAN
In today’s fashion market, assortment decisions must be data-driven, localized, and financially aligned to balance sell-through, margin, and inventory investment.
The PLAN module empowers fashion brands with tools for Demand Planning, Merchandise & Financial Planning, and Assortment Planning, enabling informed, real-time decisions by analyzing consumer demand, market trends, and inventory needs.
Key Steps of Assortment Planning
Assortment Planning is the strategic process of defining the optimal product mix by category, channel, cluster, and location. It connects consumer demand, financial targets, and space constraints to ensure that each store and channel carries the right depth and price architecture to maximize performance.
Effective Assortment Planning requires a strategic, data-driven approach that balances customer demand, financial objectives, and operational constraints.
By adopting proven best practices, fashion and luxury companies can improve assortment accuracy, increase inventory productivity, and deliver more relevant product selections across channels and locations.

Demand-Driven Assortment Strategy
Assortment Localization by Cluster and Channel
Alignment with Financial and Strategic Goals
Attribute and Size-Level Optimization
Scenario-Based Assortment Evaluation
Continuous Assortment Performance Optimization
Our solution for assortment planning provides fashion companies with the core capabilities needed to design, optimize, and execute assortments across channels and locations. By combining advanced analytics, financial integration, and flexible planning logic, Deda Stealth enables planners to build data-driven assortments aligned with demand, inventory constraints, and strategic objectives, ensuring consistency, scalability, and improved merchandising performance.
A structured assortment framework defines the hierarchy, category roles, and product segmentation needed to build balanced assortments. This foundation ensures consistency across planning cycles and alignment with brand and merchandising strategy.
Cluster-based planning capabilities enable the creation of localized assortments tailored to specific store groups, regions, and channels. This ensures that product selections reflect local demand patterns while maintaining overall planning control.
The integration of assortment decisions with financial plans and inventory constraints provides full visibility into the revenue, margin, and investment impact of the assortment, supporting more accurate and financially aligned planning.
Artificial intelligence enhances assortment planning by analyzing historical performance, demand patterns, and product attributes to generate optimized assortment recommendations. Stealth AI supports planners in defining the ideal product mix by channel, cluster, and location, improving forecast accuracy, increasing full-price sell-through, and reducing inventory risk while accelerating decision-making.
Increased Full-Price Sell-Through
Assortments aligned with demand increase full-price sales and reduce markdown dependency
Improved Inventory Productivity
An optimized product mix maximizes inventory efficiency across channels and locations
Enhanced Customer Satisfaction
Relevant assortments ensure customers find the right products, sizes, and styles
Reduced Inventory Risk
Data-driven planning minimizes overstock and stock imbalances
Stronger Financial Performance
Financially aligned assortments improve margins and overall profitability
Faster Decision-Making
Advanced insights enable faster and more accurate assortment decisions
Strategic Assortment Targets
Consumer Demand and Performance Analysis
Define Category Roles and Space Allocation
Assortment Structure Definition
Localize by Cluster and Channel
SKU and Size Curve Planning
Monitor and Refine In-Season