Apparel, Accessories, & Footwear
Fashion assortments turn several times a season. SpaceSmart resizes category footage as the buy changes, giving newness the visibility it needs while holding sales productivity across the floor.
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SpaceSmart™
Autonomously Orchestrated Space Planning & Optimization
Only With Impact Analytics
Retailers set floor plans once a season and see the result only after one category runs out of room while another never earns the square footage it was given. AI-native SpaceSmart sizes the space each category earns. Only with Impact Analytics does every space decision remain continuously reconciled with assortment, inventory, and demand with autonomous orchestration.
Trusted by Market-Leading Global Brands
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What is SPACESMART
AI-Native Space Planning Across Every Store
SpaceSmart is AI-native retail space planning software built for autonomous retail operations. It measures how sales respond to changes in space, determines how much space each category earns, and, through autonomous orchestration, continuously aligns layouts with assortment and inventory strategies.
Demand-Informed Layouts
Autonomous Space Optimization
Human-Governed Exceptions
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The Key to Space That Reflects What Each Store Sells
Space is finite. Every foot allocated to one category comes at the expense of another. SpaceSmart evaluates categories as one connected plan, balancing sales productivity, assortment requirements, and inventory constraints to determine how much space each category truly deserves.
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AI-Native Space Elasticity Analysis
The AI space planning agent evaluates how sales respond to added or reduced shelf space, allocating each category the footage where it returns the most.
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Floor Plan Optimization
SpaceSmart optimizes department and category footage across the full floor plan, balancing sales productivity against the space each format can physically carry.
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Store-Level Optimization & Integration
SpaceSmart delivers layout recommendations at both store group and individual store level, integrating with assortment planning so space and buy decisions hold together.
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Affinity & Adjacency Intelligence
Affinity and adjacency analysis identifies which categories sell better beside one another, so layouts position related products where shoppers encounter them together.
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Space-Aware Clustering
SpaceSmart groups stores by shopper behavior, demand pattern, and physical capacity, so each cluster runs a layout suited to what that group of stores can sell.
Space Planning Adapted to Every Industry’s Dynamics
Every retail segment uses its floor differently. SpaceSmart adapts space strategy to each industry's demand patterns, assortment structure, and store formats through AI-native planning and autonomous orchestration.
CPG
Shelf position decides whether a brand is found. SpaceSmart sizes placement and facings by store cluster, growing category sales while keeping the layout executable in every location.
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Grocery
Grocery formats vary widely by neighborhood. SpaceSmart sizes category layouts and shelf flow store by store, lifting sales velocity while keeping high-turn categories within easy reach.
GET STARTED
Set the Rules and Let SpaceSmart Continuously Optimize the Floor
Set how far SpaceSmart runs on its own, from every layout reviewed to fully autonomous. At any level, it clears the routine work and brings the decisions worth your judgment to your team.
01
Build
SpaceSmart connects internal and external data to establish space, assortment, and clustering policies, while allowing teams to define the business rules and guardrails that guide autonomous decisions.
02
Deploy
Once deployed, SpaceSmart continuously learns from sales by store and category, improving space decisions through autonomous orchestration and coordinating every layout with the assortment plan around it.
03
Monitor
SpaceSmart continuously refines its elasticity and clustering models as store performance changes, improving accuracy and keeping every layout aligned with what each location actually sells.
Results from AI-Native Space Planning
SpaceSmart helps retailers increase sales productivity, reclaim underutilized space, and free planners to focus on higher-value decisions.
20–30%
Reduction in Inventory Cost
20%
Improvement in operational efficiency
5%
Increase in product availability
RELATED PRODUCTS
Build a Smarter Merchandising Suite
Explore AI-native solutions that work seamlessly with SpaceSmart™ to connect assortment, inventory, and shelf management for smarter, more profitable retail operations.
Trusted by Leading Companies
In our clients’ own words
“We conducted a comprehensive review of marketplace providers. Impact Analytics was the clear choice given their deep experience in fashion retail and their leadership in Agentic AI solutions that address the complex challenges faced by modern retailers.”
“This partnership allows us to eliminate repetitive, low-value tasks so our merchandisers can focus on understanding what is truly happening in our brand and make quicker, higher-quality decisions to get the right products in the right places for our customers.”
“The platform’s ability to deliver rapid value through dynamic module interaction and sophisticated AI forecasting will future-proof our business, ensuring that we remain at the cutting edge of retail innovation.”
Autonomous AI Agent Orchestration
Only With Impact Analytics
Rethink how your business makes decisions. Replace disconnected AI with agentic intelligence that moves every function toward the same business outcome. Discover how Impact Analytics helps you lead the shift to a fully orchestrated, autonomous enterprise.
Frequently Asked Questions
How does SpaceSmart optimize retail floor and shelf space planning?
SpaceSmart uses AI-native space elasticity, store clustering, and adjacency insights to optimize floor plans and product placement, improving space utilization, cross-selling, and overall store profitability.
What is space planning in retail?
Retail space planning is the process of allocating floor and shelf space to products based on demand, store performance, and layout insights to maximize sales, margins, and customer experience.
