RetailNext offers a cloud‑based intelligence platform that uses AI‑driven IoT sensors, high‑resolution video, and POS integration to deliver real‑time foot‑traffic, occupancy, and shopper‑journey analytics for physical retailers. The platform provides dashboards, predictive staffing recommendations, and API/BI tools that help operators optimize labor, merchandising, security, and marketing across multiple store locations.
Funding
$42M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CCFounders
Product
Problem
Physical retailers lack real-time, e‑commerce‑level visibility into foot traffic, shopper behavior, and store operations, making it difficult to optimize staffing, merchandising, security, and marketing while reducing shrink and operational costs.
Solution
RetailNext delivers a cloud‑based intelligence platform that combines AI‑driven IoT sensors, high‑resolution video, and point‑of‑sale integration to capture accurate foot traffic, occupancy, and shopper journey data across any physical location. The Aurora sensor detects people ten times per second using a patented deep‑learning algorithm, while video security provides instant, searchable footage for loss‑prevention. All data are streamed to RetailNext’s cloud where real‑time dashboards, predictive analytics, and prescriptive recommendations help operators schedule staff, control store capacity, evaluate merchandising layouts, and measure marketing effectiveness. APIs and built‑in BI tools enable seamless integration with existing enterprise systems, allowing retailers to act on insights instantly from web or mobile interfaces.
Target Audience
Primary customers are brick‑and‑mortar retailers and multi‑site operators (including shopping centers, restaurants, and retail banks) that need data‑driven insights to improve store performance, security, and marketing.
Features
- Aurora IoT sensor with patented AI deep‑learning for person detection and pass‑by traffic, delivering per‑second analytics
- Real‑time occupancy monitoring with configurable thresholds and virtual‑queue integration
- Integrated video security with high‑resolution snapshots and instant access via web and mobile for rapid investigations
- Shopper‑journey analytics that map full in‑store paths, dwell times, and conversion at product‑category level
- AI‑powered staffing recommendations and traffic forecasts to optimize labor costs
- API and BI integration for exporting data to data warehouses, POS, and workforce management systems
- Cloud‑hosted dashboard with customizable KPI visualizations, alerts, and automated reporting