"The journey of a star" - the combination of artificial intelligence, big data and new energy time-sharing lease

The new energy time-sharing platform, Panda Car, is thrilled to announce a significant partnership with Alibaba Cloud. Their collaboration aims to leverage cutting-edge technologies like artificial intelligence and big data analytics to unlock the full potential of the shared travel market. By integrating intelligent software and hardware solutions, they hope to enhance operational efficiency and deliver smarter, more efficient travel experiences. Recently, a cooperative meeting took place in Beijing, bringing together key figures from both companies. Liu Da, CEO of Panda Car, and Liu Fei, General Manager of Alibaba Cloud’s IoT and High-Tech Division, were present and delivered insightful speeches. During the event, Panda Car showcased their journey from inception to success, using engaging video formats and immersive storytelling techniques. Starting operations on November 11, 2015, in just one city with 13 employees and 200 vehicles, they've grown exponentially. Within a year and a half, they became China's first new energy time-sharing project to surpass a million users. Today, they manage over 10,000 vehicles and have logged an impressive total mileage exceeding 222,457,107 kilometers. Dr. Gao Wei, CEO of Panda Car, highlighted during his presentation how the increasing number of vehicles and users presents unique challenges for offline operations. Tasks such as vehicle dispatch, inspections, insurance management, handling violations, and cleaning require innovative technological solutions to maintain operational efficiency. This is where the collaboration with Alibaba Cloud becomes crucial. Panda Car and Alibaba Cloud are exploring advanced big data analysis and AI technologies. Utilizing a PB-level real-time OLAP system capable of millisecond responses, they aim to replace manual intervention with automated intelligent scheduling. This approach has already demonstrated impressive results, boosting operational rates by 72%, profitability by 43.5%, and reducing risks by 31.3%. As Dr. Gao Wei emphasized, big data and cloud computing are indispensable for the sustainable growth of shared mobility models in the transportation sector. Together, they’ve established a sophisticated big data city analysis system. By analyzing urban operations, user demographics, traffic patterns, and consumer behavior, they aim to create precise user profiles and scene-specific labels. This will foster a shared travel data ecosystem that can reverse-engineer operations, optimize dispatching, and improve parking space utilization, power supply capacity, and urban public transport integration. Liu Fei, General Manager of Alibaba Cloud’s IoT and High-Tech Division, expressed excitement about the ongoing collaboration. He mentioned that Alibaba Cloud would accelerate the adoption of its top-tier products and services within the time-sharing and car rental sectors, ensuring a seamless experience for travelers. Alibaba Cloud’s robust infrastructure guarantees the stability and scalability of Panda Car’s rapidly expanding operations. “With Alibaba Cloud’s flexible resource allocation, we ensure that Panda Car’s growing business remains unaffected by system limitations,” Liu Fei explained. “Our big data platforms, AI capabilities, and business middleware architecture allow us to continuously refine Panda Car’s operations, tapping into user needs and optimizing product designs. By leveraging these tools, we aim to make Panda Car a leader in the smart mobility space.” Looking ahead, their partnership will delve deeper into areas such as smart energy management, real-time offline route optimization, and logistics coordination. Over the past year, they’ve collaborated closely with Ant Financial’s Sesame Credit, becoming the first platform to offer zero-deposit car rentals and integrate QR code scanning via Alipay. This latest collaboration seeks to construct an open sharing platform, promoting the continuous application of intelligent solutions and strengthening the operational and maintenance systems for car rentals. Together, they’re paving the way for a smarter, more connected future in shared mobility.

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