See How We Transformed Retail Store Layouts Using Computer Vision
Overview – AI-Powered Store Layout Optimization
A prominent retail chain sought our expertise to enhance their store layouts across multiple locations. As their existing layouts were based on traditional merchandising strategies, they struggled to make timely decisions leading to suboptimal customer flow and missed sales opportunities. We developed a computer vision solution that analyzed in-store traffic patterns, product interactions, and customer dwell times to recommend layout adjustments.
Our approach was not just about product placements, but we created a shopping journey that guided customers intuitively through the store. This had finally led to maximizing engagement and sales potential.
Retail
Computer Vision & Spatial Analytics
Our Process – Implementing Computer Vision for Store Layout Optimization
We followed a structured approach to redesign the store layouts that guided customers effortlessly:
Data Collection & Analysis
We set up overhead cameras and sensors to capture customer movement, dwell times, and track how they interacted with the products. Data processing was done in anonymized form and analyzed to identify patterns and bottlenecks.
Heatmap Generation
Computer vision algorithms were used to generate heatmaps that strategically positioned high-margin and or promotional items in high-traffic areas
Layout Simulation
AI-driven simulations for testing various layout configurations led to exploration many ideas and prepared them for customer volumes to predict customer behavior and sales impact for each scenario.
Implementation & Monitoring
The optimized layouts were implemented in select stores, with ongoing monitoring to assess performance and make iterative improvements. Layouts stayed effective as customer habits, seasons, or inventory shift.
