Cyngn Inc. announced results from its customer deployment with U.S. Continental ("USC"). With a sprawling 100,000-square-foot factory, USC stands as a leading private label leather and fabric care company. USC has become the trusted partner for leading brands like Michael Kors, Birkenstock, and Monster Energy that seek top-tier commercial packaging and private label care product services. USC has enjoyed tremendous growth over the three decades it's been in business. In that time, the company has become familiar with the hurdles intrinsic to manufacturing and distribution: supply chain disruptions, soaring labor costs, and the relentless pursuit of operational efficiency.
Enter Cyngn and its Enterprise Autonomy Suite ("EAS") to offer self-driving industrial vehicles with the AI-powered DriveMod tech stack, introducing novel data and analytics about how things move at customer sites. DriveMod Stockchasers began transporting pallets around USC'sCorona, California facility in early 2023, doing supply runs between two buildings. Over several months of operation, Cyngn's self-driving vehicles enhanced operational speed, fostered organizational precision, and delivered substantial cost savings. The DriveMod Stockchasers have produced 4x efficiency gain, and the introduction of EAS even enabled a former forklift operator's promotion. This success led to USC recently renewing its commercial contract to extend its deployment of DriveMod Stockchasers. eploying DriveMod-powered vehicles at U.S. Continental, involved a simple set of steps: onduct a site assessment. First, Cyngn's customer success team worked with USC's operations managers to obtain a thorough understanding of process flows and goals. In parallel, Cyngn's field engineers surveyed USC's facility to document the operational design domain ("ODD") including the lighting, lane widths, and types of obstacles the vehicles could encounter. From this, Cyngn was able to identify transporting pallets from the inventory warehouse to the production facility as the optimal use case for the deployment. uild the map. In order for an AV to operate, it must know where it is within its environment. Cyngn scanned USC's facility to create a detailed 3D representation of the physical world. DriveMod vehicles use this localization map to safely navigate within the environment with centimeter-level accuracy, which is achieved from the onboard vehicle computer and doesn't require constant internet connection or special infrastructure installations. esign the application. Once the map was created, Cyngn worked with management on application design, which included the routes the vehicle would take, the stops where pallets would be loaded and unloaded onto the vehicle, how employees would interact with the vehicles, and permissible driving zones and other operating rules. rain key personnel. Finally, before the vehicle was let loose with full autonomous operation, Cyngn trained USC employees on safe use of the vehicle and the various interfaces available to interact with the vehicles and data dashboards. Finally, the vehicle was seamlessly integrated into daily workflows.