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Assortment & Shelf Execution
Optimize assortment and merchandising decisions across channels with cloud-based solutions powered by AI, automation, and integrated data.
Winning on shelf—physical and digital—is no simple task. Shifting consumer preferences, increased competition, and the need for optimal store layouts and digital environments create complex challenges in managing assortments and shelf space. We provide the insights and analytics you need to tackle these challenges head-on.
Our Assortment and Shelf Execution solutions help you optimize your product mix across physical and digital stores to deliver an assortment that improves shelf productivity, satisfies shopper needs, and stands out against the competition. With our omnichannel data insights, you can analyze performance, identify opportunities, and optimize and test your shelf strategies to maintain and grow your share of space.
Optimize store and shelf layouts and flows to improve category management, space allocation, and adjacency strategies. By integrating these insights, you can create store layouts that enhance the shopping experience, making it easier for customers to find what they need and encouraging them to explore more of your offerings. Learn more about our Assortment and Shelf Execution solutions and how they can help you create a more efficient and shopper-friendly store environment.
With our Assortment & Shelf Execution solutions, you can:
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Optimize product mix across retailers or the store to improve shelf productivity through better assortment optimization.
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Analyze product performance and apply data-driven shelf optimization strategies to increase your share of shelf.
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Measure the impact of shelf scenarios.
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Support store planning and category management decisions with precise insights.
Case Study
Planograms automation: How did Grupo Ramos Increase Its Productivity With Spaceman?
Case Study
Building Success: Learn How FreshDirect Empowers Suppliers Through Data Sharing for Mutual Growth
Featured Product
Spaceman
A complete suite of applications that helps you to unlock your potential across all the steps of the Space management process.
Featured Product
Shelf Architect
Unify and streamline your assortment and space strategies with an end-to-end, integrated data solution.
NIQ’s Product Finder
Explore our Innovative product offerings to unlock the Full View™
Frequently Asked Questions
- How does category management support better retail decision-making?
AI‑powered category management enables retailers to move beyond surface‑level sales metrics and understand true category incrementality. By modeling product interactions, demand shifts, and substitution effects, AI reveals which items grow the category versus those that merely cannibalize sales. This supports smarter category strategies that balance growth, efficiency, and shopper needs across channels.
- How does assortment optimization improve category performance?
Assortment optimization powered by AI evaluates each product’s incremental contribution to the category, not just its raw sales. Predictive models simulate add, drop, and swap scenarios to quantify the impact on sales and space productivity before execution. This allows retailers to optimize product mix with confidence while minimizing operational risk.
- Why is shelf optimization critical to category success?
AI‑driven shelf optimization connects assortment decisions with space and planogram execution. By translating optimized assortments into forecast‑driven planograms, retailers can align facings, space allocation, and inventory targets with expected demand. This ensures the shelf supports both sales growth and operational efficiency.
- How do category insights uncover new growth opportunities?
AI‑generated category insights illuminate performance at the segment, brand, and item level, highlighting where incremental sales potential exists. Advanced analytics identify white spaces, over‑served segments, and emerging opportunities, enabling retailers to focus resources on the parts of the category that deliver the greatest return.
- How does a total store view enhance category management?
AI‑powered total store assortment analysis provides a cross‑category perspective, helping retailers understand how space and performance interact across departments. This macro‑level insight identifies which categories should expand, defend, or rationalize before diving into item‑level optimization. It ensures category decisions align with total store objectives.
- How does category strategy support better inventory management?
AI‑enabled inventory management strategies align assortment and shelf decisions with demand forecasts. By forecasting sales at item and shop‑week level, retailers can set smarter inventory targets that reflect optimized product mix and space allocation. This reduces replenishment friction while protecting availability and sales.
- What role does category management consulting play in execution?
AI‑driven category management consulting combines advanced analytics with retail expertise to turn insights into action. Incrementality models, simulations, and visual shelf outputs help teams build clear, data‑backed recommendations that support collaboration between retailers and suppliers and accelerate execution.
- How does product category strategy evolve with AI?
AI‑powered product category strategy evaluates how new items, innovations, and existing products interact within the assortment. Predictive models forecast the impact of innovation launches and portfolio changes, helping retailers maintain the right balance of brands, segments, and price tiers to maximize category growth.
- How can retailers bridge the gap between strategy and shelf execution?
By connecting AI‑driven assortment optimization with automated planogram execution, retailers can translate strategy into store‑specific, actionable layouts. Forecast‑based planograms ensure that recommendations are realistic, scalable, and tailored to local demand, enabling faster and more consistent execution.
- How does AI transform category management practices?
AI transforms category management by automating analysis, accelerating simulations, and guiding users toward the highest‑impact decisions. Predictive analytics and intelligent recommendations enable teams to evaluate multiple scenarios quickly, focus on incremental growth, and continuously refine category strategies as conditions change.