Qopius provides AI‑powered computer vision robots that autonomously scan retail shelves multiple times a day, creating floor maps and geolocating each product. The system detects out‑of‑stock items and planogram violations in real time and delivers alerts and compliance reports through a web dashboard, enabling retailers to improve inventory availability and merchandising efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Retail stores often suffer from out‑of‑stock situations and planogram violations because shelf conditions are monitored manually or with infrequent visits, leading to lost sales and poor shopper experience.
Solution
Qopius uses AI‑powered computer vision to automatically scan retail shelves multiple times per day with battery‑operated, plug‑and‑play devices that navigate aisles and avoid obstacles. Each scan creates a detailed floor map, geolocates every product, and detects out‑of‑stock items and planogram compliance issues in real time. The captured data are processed in the cloud to generate actionable alerts, availability metrics, and compliance reports that can be accessed through a web dashboard. Retailers can prioritize replenishment, conduct spot checks, and optimize merchandising based on continuous, store‑level analytics, reducing lost sales and improving product availability.
Target Audience
Primary customers are large‑format retailers and supermarket chains that need continuous shelf monitoring to maintain product availability and planogram compliance across multiple stores.
Features
- Autonomous shelf‑scanning robots with obstacle‑avoidance and battery operation for frequent, unattended data capture
- AI-driven computer‑vision algorithms that identify product placement, stock levels, and planogram deviations
- Real‑time floor mapping and product geolocation for every scan, enabling precise inventory visibility
- Automated out‑of‑stock alerts and compliance notifications delivered via a web dashboard
- Integration capabilities for existing retail systems to feed analytics into replenishment workflows