On May 16th, the 2024 National Auto Parts Logistics Conference hosted by China Federation of Logistics & Purchasing's Automotive Logistics Branch will be held in Shanghai. Jiuyao Intelligence will showcase its industrial L4 autonomous driving full workflow solution, joining automotive OEMs and auto parts enterprises to discuss new directions in AI + logistics upgrades and explore the applications of autonomous driving in industrial scenarios.
With the development trend of intelligence and electrification, the variety of auto parts continues to increase, and the domestic auto parts scale keeps growing. As a key link in automotive manufacturing, parts logistics has a large demand for unmanned and intelligent operations.
As a leading enterprise in industrial autonomous driving, Jiuyao Intelligence continues to focus on automotive logistics scenarios, providing one-stop solutions for indoor and outdoor industrial vehicle autonomous driving through advanced unmanned products and technology. It helps automotive industry customers build unmanned, scalable, and normalized intelligent supply chain systems. The company has established strategic partnerships with dozens of Fortune 500 customers including those in the automotive industry, achieving over 5 million kilometers of safe autonomous driving mileage, and is the only industrial autonomous driving enterprise in China that has passed both TÜV Rheinland and TÜV SÜD safety assessments.
Jiuyao Intelligence's safe, reliable, and intelligent autonomous driving product series can cover inter-facility logistics scenarios in the automotive industry, seamlessly integrate with customer information systems, achieve intelligent scheduling and autonomous path planning, meet multi-vehicle collaborative operation needs, and feature production line docking, automatic charging, and automatic hook/unhook functions. It ensures safe driving in outdoor rain, snow, and fog conditions, significantly improves overall work efficiency, helps customers reduce costs and increase efficiency, and enhances core competitiveness of the logistics supply chain.
