Overview

Scandit ShelfView is an advanced AI-driven shelf management solution designed to enhance in-store operations for retailers. By leveraging smart data capture technologies, ShelfView provides real-time visibility into shelf conditions, enabling retailers to optimize stock levels, ensure accurate pricing, and maintain planogram compliance. The platform integrates seamlessly with existing store infrastructure, utilizing smart devices, fixed cameras, and autonomous robotics to capture and analyze shelf data. This approach allows for scalable and cost-effective implementation across various store formats and sizes.

Features and Capabilities

• Hybrid Data Capture: Utilizes a combination of smart devices, fixed cameras, and autonomous robots to capture shelf data, offering flexibility in deployment.
• AI-Driven Insights: Employs advanced machine learning and computer vision to analyze shelf images, providing actionable insights into stock levels, pricing, and planogram adherence.
• Real-Time Alerts: Sends timely notifications to store associates about out-of-stock items, pricing discrepancies, and planogram violations, enabling prompt corrective actions.
• On-Shelf Availability Optimization: Achieves over 95% on-shelf availability by identifying and addressing critical shelf issues, leading to increased sales and reduced stockouts.
• Price and Promotion Accuracy: Ensures accurate execution of pricing and promotions by analyzing labels and signage in real-time, either via mobile devices or autonomous robots.
• Planogram Compliance: Monitors and enforces planogram adherence, ensuring products are placed according to predefined layouts for optimal merchandising.
• Scalable Integration: Offers a customizable data capture approach that adapts to any store format, size, and data frequency needed, facilitating easy integration into existing systems.
• Cloud-Based Dashboard: Provides a web-based application for reporting and analyzing shelf data, accessible from any computer with an internet connection.
• Cross-Platform Compatibility: Compatible with iOS and Android devices, allowing retailers to leverage existing hardware for data capture.