Core Insights - The 2025 36Kr Industry Future Conference, co-hosted with the Ministry of Commerce, focuses on key themes such as artificial intelligence, low-altitude economy, advanced manufacturing, new energy, and large consumption [1] - The conference aims to discuss the collaboration between government, capital, and industry to address pain points and bottlenecks in industrial development [1] Company Overview - Star Charge has developed a comprehensive charging network and smart microgrid, covering 261 cities and over 2,800 counties in China, with more than 2 million charging piles connected, accounting for approximately one-sixth of the national public charging infrastructure [3][4] AI Applications in New Energy - AI technology is pivotal in enhancing safety, efficiency, and longevity in the charging network and energy business [3] - The company has implemented an automated recommendation and validation platform for site selection in charging network planning, which helps identify risks and avoid potential issues [4] - An AI assistant named "Station Doctor" generates detailed operational reports and task lists for charging station management, improving efficiency in operations [5] Pricing and Management Innovations - AI-driven dynamic pricing models allow for precise pricing adjustments based on various factors, achieving a pricing accuracy of up to four decimal places [5] - The company has developed AI systems for 24/7 remote management of unattended charging stations, addressing common issues such as vehicle occupation and equipment damage [6] Smart Microgrid Solutions - AI optimizes the coordination of photovoltaic, energy storage, and charging systems, enhancing operational efficiency and cost management for operators [7] - The company is involved in vehicle-to-grid (V2G) initiatives, allowing electric vehicles to support grid stability during peak demand periods [7] Overall AI Strategy - Star Charge is building an AI intelligence foundation across ten business areas, focusing on efficiency improvement, cost reduction, and the development of new productive forces [8] - The integration of AI into the energy trading system aids in decision-making for energy purchases and sales, with the potential for fully automated trading in the future [8]