AI-powered tracking aims to eliminate gaps in warehouse inventory systems
Warehouses could soon track every pallet in real time without manual scanning, as Corvus Robotics unveils a new AI-powered device aimed at closing costly data gaps across supply chains.
The company has launched Corvus Trident, a system designed to automatically capture pallet movements from the moment goods arrive at a facility through to final dispatch. The technology was revealed at MODEX 2026 in Atlanta.
Mounted directly onto forklifts, reach trucks and other material handling equipment, the device works during normal warehouse operations, removing the need for workers to stop and scan items manually.
Many warehouse systems still rely heavily on scanning data, which can be inconsistent if processes are skipped or delayed. This often leads to inventory discrepancies, shipment errors and costly chargebacks, as records drift from what is actually happening on the warehouse floor.
Corvus says its new system is designed to eliminate those blind spots. Using onboard artificial intelligence and industrial-grade scanning, the device can read multiple barcodes at once, track pallet and equipment movement in real time, and build a continuous record of inventory flow.
The aim is to give operators full visibility from inbound delivery through storage and handling, right up to outbound shipment, allowing issues to be identified earlier and handled more efficiently.
MSI Surfaces, a major US distributor of flooring and construction materials, has already deployed the system at its headquarters in California.
“After leveraging Corvus’ drone technology over the last four years to improve rack inventory accuracy, we are excited to take the next step toward tighter inventory controls with Corvus Trident,” said Matt Zucker, team leader for Operations Strategy & Analytics at MSI.
He added that the company expects the system to deliver “data points and analysis with a level of consistency that traditional manual scanning processes and legacy systems struggle to achieve”.
Corvus Robotics chief executive Jackie Wu said many warehouses still lack a clear picture of how goods move through their facilities.
“Most facilities still rely on fragmented scan events to understand the movement of physical goods,” he said. “That leaves major gaps between what the system says should have happened and what actually did.”
He said the new system provides “a real-time view of pallet movement across the facility, starting at the dock door”, helping improve day-to-day operations while laying the groundwork for more responsive, data-driven warehouses.
The device can read pallets stacked up to three high and track movement without the need for GPS, beacons or fixed markers. It also provides real-time visual and audio feedback to operators to support safer handling.
Corvus says the system could help reduce errors, returns and disputes, while improving labour planning, traceability and audit readiness. It can be integrated into existing warehouse management systems via standard APIs or used as a standalone platform.
The launch forms part of a wider push by the company to improve inventory visibility across entire facilities. Corvus Trident focuses on tracking goods in motion, while its existing Corvus One system uses autonomous drones to carry out inventory checks in storage areas.
Together, the systems feed into the firm’s AIMS software platform, which converts warehouse data into operational insights for planning, optimisation and supply chain decision-making.
Corvus Robotics said live demonstrations of the new technology will take place at MODEX 2026, where visitors can see how the system tracks pallet movement in real time.