Corvus Robotics develops autonomous indoor drones for warehouse inventory management, utilizing real-time analytics to enhance operational efficiency. Their technology addresses labor shortages and inventory discrepancies, enabling businesses to conduct cycle counts and audits more accurately and swiftly, ultimately reducing costs and preventing stockouts.
Funding
$18M 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.
SVFounders
Product
Problem
Warehouses face challenges in maintaining accurate inventory levels due to manual scanning processes, leading to discrepancies and stockouts. Traditional methods are labor-intensive, time-consuming, and often result in incomplete or delayed cycle counts, impacting operational efficiency and profitability.
Solution
Corvus Robotics offers an autonomous drone-based inventory management system that automates the scanning and tracking of warehouse inventory. The drones navigate warehouse aisles, autonomously scanning barcodes on inventory packaging without the need for external infrastructure like stickers or beacons. The system captures data more frequently and accurately than manual methods, increasing inventory accuracy from approximately 70% to over 90%. This enables real-time visibility into inventory levels, reduces labor costs, and minimizes errors, ultimately optimizing warehouse operations and preventing losses due to stockouts or misplaced items.
Target Audience
The primary target audience includes 3PL providers, manufacturers, retailers, distributors, and accounting/consulting firms seeking to improve inventory accuracy, reduce labor costs, and optimize warehouse operations.
Features
- Autonomous indoor drones equipped with advanced cameras and industrial-grade barcode scanners
- Level 4 autonomy enables drones to navigate aisles and scan barcodes without human intervention
- Real-time data capture and processing for immediate inventory updates
- Integration with existing warehouse management systems (WMS)
- Computer vision and deep learning algorithms for localization and navigation
- Automated discrepancy analysis and reporting
- Ability to operate in dark spaces and environments with unreliable Wi-Fi