Harness AI-powered shelf recognition, customer flow prediction, and intelligent merchandising recommendations to maximize conversions and optimize store performance.
Powered by advanced AI and computer vision technology
AI-powered computer vision instantly identifies products, tracks inventory levels, and detects out-of-stock situations across all shelves in real-time.
Advanced analytics map customer movement patterns, predict traffic flows, and identify high-engagement zones to optimize store layout and product placement.
Machine learning algorithms forecast peak hours, predict bottlenecks, and recommend staff allocation to ensure smooth customer experiences during busy periods.
Data-driven recommendations for product placement, shelf arrangement, and promotional displays that maximize visibility and drive purchase decisions.
Tailored for your retail environment
Optimize large-format stores with complex layouts and high SKU counts. Reduce stockouts and improve fresh product management.
Analyze customer dwell time near displays, optimize fitting room locations, and maximize seasonal collection visibility.
Maximize limited space efficiency, optimize impulse purchase zones, and reduce checkout queue times.
Navigate complex multi-floor layouts, optimize cross-category traffic flow, and enhance department-level analytics.
RetailTwin AI leverages state-of-the-art computer vision, deep learning, and edge computing to deliver real-time insights with enterprise-grade security and reliability.
Custom-trained neural networks for retail environments
Real-time object detection and tracking algorithms
Low-latency processing with on-premise deployment options
GDPR-compliant with anonymized customer data processing
Join leading retailers who have increased their conversion rates by an average of 47% with RetailTwin AI.
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