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

The new energy time-sharing platform hopes that the car will reach a heavy cooperation with Alibaba Cloud, aiming to further explore the potential of the shared travel market through innovative technologies such as artificial intelligence and big data analysis applications, and explore ways to improve vehicles through intelligent software and hardware continuous matching applications. Operational efficiency.

Recently, the cooperation conference between Panda and Alibaba Cloud was held in Beijing. Liu Da, CEO of Panda Cars, and Liu Fei, General Manager of Alibaba Cloud Internet of Things and High-Tech Division attended the conference and delivered a speech.

0 to 1,000,000

At the press conference, Panda shared the entrepreneurial process from “0 to 1” with the innovative forms of video and immersive drama, and went online from 2015.11.11, from 1 city, 13 employees, 200 The car started, and became the first new energy-time leasing project in China that broke through millions of users in a year and a half. It focused on time-consuming leasing of more than 10,000 vehicles, and the accumulated mileage exceeded 222,457,107 kilometers.

Share intelligence online and offline

Dr. Gao Wei, CEO of Panda Car, introduced the guests to the audience. With the increase of vehicles and user groups, the offline operation and maintenance of shared cars is challenging and challenging. Dispatch, inspection, insurance, violations, cleaning and other matters are intertwined. Only relying on the continuous application and innovation of new technologies and new algorithms can guarantee the marginal benefits of large-scale offline operation and maintenance. It is impossible to effectively and timely deal with complex problems by increasing human and material resources.

The cooperation between the Panda car and Alibaba Cloud is also based on the exploration and cooperation of big data analysis technology and AI technology field. Based on the PB level real-time OLAP millisecond response computing system, the machine self-learning modeling is achieved instead of artificially creating intelligent scheduling. It can increase the operating rate by 72%, profitability by 43.5%, and risk mitigation by 31.3%. Gao Wei said that big data cloud computing is an essential capability for the sustainable development of the shared economy model in the transportation sector.

According to the introduction, the two sides jointly set up a big data city analysis system, and through the deep learning of the existing urban operation situation, user groups, traffic conditions, consumption information, etc., through the application of accurate portraits and scene labels, build a shared travel data ecology. Reverse the operation, guide the dispatch, better improve the parking space efficiency, power supply capacity and urban public transportation optimization and complement, create user value and operational value.

Alibaba Cloud creates uncalculated value with customers

Liu Fei, general manager of Alibaba Cloud Internet of Things and High-Tech Department, said that after the long-term and comprehensive deep cooperation between the two parties, the company will quickly promote the in-depth application of Alibaba Cloud's superior products and services in the time-sharing and rental car scenarios. A better service for travel users. Alibaba Cloud provides stable, reliable, secure and high-concurrency cloud services to help Panda expand its business nationwide and guarantee the stability and continuity of its service.

“Alibaba Cloud provides flexible resources to ensure that the fast-expanding business of the Indah car business is not affected by the business system; Alibaba Cloud's big data platform, artificial intelligence and other services can continuously optimize the business operations of the Panda car, tap user needs, optimize products. Design, etc., to enhance the competitiveness of the car with the help of big data value. Use Alibaba Cloud's unique business middle-office and data-in-a-box architecture to help real-time online of Panda's car business, including customer online, vehicle online, road online, Service online, etc., to achieve the perfect integration of the Internet and the automotive industry, to provide real-time online smart travel for end users." Liu Fei said.

It is reported that the focus of the latter cooperation will be gradually implemented in smart energy management scheduling, offline real-time path optimization, and material and transportation matching management. In the past year, the company has deep cooperation with the sesame credit of Ant Financial, which has become the first platform in the industry to realize the deposit-free car rental, and the first time-sharing project that can scan the code in the Alipay APP.

This time, Panda and Alibaba Cloud have launched an in-depth cooperation to build an open sharing platform, support the continuous application of intelligent solutions, and strengthen the ability to lease and operate O&M systems.

Business Tablet

A business tablet must have powerful business functions. At present, users use tablet products more for entertainment, and insufficient development of commercial value has become a major factor restricting the development of tablet computers. Many far-sighted terminal manufacturers have set their sights on the business tablet field.
Generally speaking, when business users choose tablet PC products, they still focus on "regular items" such as processor, battery, operating system, and built-in applications, especially office software applications, which are a good helper for business users.
First of all, there must be powerful office software such as customer management software, which can record customer data and related information anytime, anywhere. There is also a need for powerful marketing software, software marketing, reducing manual intervention, and one person can handle all the publicity and customer information.

Business Tablet,4k,5G

Jingjiang Gisen Technology Co.,Ltd , https://www.gisentech.com