Corvus Robotics yesterday unveiled Corvus Trident at MODEX 2026. Trident is an AI-powered forklift attachment that can eliminate manual scanning errors by providing a continuous, real-time record of every pallet movement within the warehouse.
By integrating industrial-grade AI directly onto existing material handling equipment, the Corvus Trident addresses a critical failure point in modern logistics: the “data drift” caused by inconsistent manual scanning. As supply chains face increasing pressure for precision, this technology aims to bridge the gap between physical movement and digital records, offering a way to reduce costly shipment errors and inventory discrepancies without slowing down floor operations.
Watch how Corvus Trident works in a real warehouse
Warehouse systems depend on data generated from scanning inventory. When scans are skipped, delayed, or done inconsistently, inventory records drift from reality. The result is a familiar set of problems for operators and executives alike: chargebacks, shipment errors, inventory discrepancies, write-offs, and limited visibility into what is actually happening inside the four walls of the facility.
Corvus designed Trident to close that gap. Using onboard AI and industrial-grade scanning, Corvus Trident reads multiple barcodes simultaneously, tracks pallet and equipment movement in real-time, and creates a continuous record of inventory movement without requiring operators to stop and manually scan.
MSI Surfaces, a distributor of flooring, countertop, wall tile, and hardscaping products in North America, recently deployed Corvus Trident at its headquarters in Orange, Calif.
“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, the team leader of Operations Strategy & Analytics at MSI. “Corvus has been an excellent partner in understanding our inventory management challenges and designing technology that is expected to deliver data points and analysis with a level of consistency that traditional manual scanning processes and legacy systems struggle to achieve.”
Corvus Trident mounts directly to forklifts, reach trucks, and other material handling equipment (MHE), capturing pallet movement automatically during normal operations.
With Corvus Trident, warehouses can begin tracking pallets the moment they unload them. They can continue tracking them through the full flow of operations until the pallets leave the facility. That visibility creates a stronger system of record for receiving, movement, storage, and shipment while giving teams the data they need to act earlier and operate with greater confidence.
“Most facilities still rely on fragmented scan events to understand the movement of physical goods,” said Jackie Wu, the CEO of Corvus Robotics. “That leaves major gaps between what the system says should have happened and what actually did. Corvus Trident gives operators and supply chain leaders a real-time view of pallet movement across the facility, starting at the dock door. It improves execution on the floor today and creates the foundation for a smarter, more responsive warehouse over time.”
Corvus Trident captures data during normal warehouse workflows. It reads pallets up to three stacks high, tracks movement without GPS, beacons, or markers, and provides real-time visual and audio feedback to operators to support safer and more accurate handling.
Corvus Trident helps warehouse and supply chain teams reduce chargebacks, returns, and shipment errors, improve labor planning and productivity visibility, strengthen traceability, and create a reliable record for audits, disputes, and operational review. The system works with existing warehouse management systems through standard APIs or can operate independently, giving customers flexibility in how they deploy it.
Corvus One and Corvus Trident Together
Corvus Trident expands Corvus Robotics’ broader approach to inventory visibility across the warehouse.
The system captures inventory movement from the moment pallets enter the facility and throughout active handling across docks and operations. Corvus One, Corvus Robotics’ autonomous drone inventory system, performs autonomous cycle counts across storage locations, giving teams accurate, audit-ready visibility into inventory at rest.
Together, Corvus Trident and Corvus One provide full facility coverage and a more complete view of inventory across both movement and storage. Both systems feed AIMS, the Corvus Robotics software platform that turns facility data into actionable operational insight for labor planning, slot optimization, vendor accountability, service level performance, and broader supply chain decision making.