AutoNavi Launches "Shensuan Agent" AI Tool to Build End-to-End Digital Decision System for EV Chargers

Recently, AutoNavi launched "Shensuan Agent," an AI-powered intelligent agent tailored for the EV charging industry. Focused on core aspects of charging pile operations, it provides standardized intelligent decision-making tools for charging operators, automakers, and energy companies, covering critical business scenarios such as charging station site selection, pricing, and operational resource allocation. While China's charging infrastructure continues to expand rapidly, structural challenges persist: high traffic concentration and long queues at core stations contrast sharply with underutilized, idle resources at peripheral sites. Meanwhile, intense price competition plagues the industry. Historically, decisions on charger placement and pricing have lacked unified data support, leading to suboptimal investment returns and insufficient capabilities for refined operational management. Built upon AutoNavi’s spatial intelligence technology, Shensuan Agent integrates massive mobility data, nationwide charging pile distribution information, and proprietary commercial algorithm models to deliver four core capabilities—traffic insight, intelligent site selection, dynamic pricing, and market intelligence—spanning the entire lifecycle from initial planning to ongoing operations. The tool supports natural language interaction, enabling operators to query the feasibility of building stations in specific areas, with the system automatically generating quantitative analyses including traffic trends, demand density, and investment scores. In terms of service delivery, Shensuan Agent adopts a tiered implementation strategy: offering deep co-development and private deployment for branded automakers; providing large operators with established technical systems access to customizable functional modules via the MCP protocol; and delivering standardized, out-of-the-box solutions for local operators. Earlier in the first half of 2025, AutoNavi launched two products—"E-Zhantong" and "Zhuangdiantong"—catering respectively to brand clients and small-to-midsize operators. These platforms have already onboarded over 500 charging brands and more than 450,000 public charging stations, integrating the charging networks of multiple leading automakers. Its “JiChong” (Instant Charge) feature has fully streamlined the end-to-end process—from locating chargers to charging and payment—and operates under a zero-commission model. According to an AutoNavi executive responsible for charging services, China’s EV charging industry is transitioning from a phase of scale-driven construction to one focused on precision and operational efficiency. Establishing a traceable, standardized decision-making system powered by big data and AI algorithms will be pivotal to this transformation, helping alleviate issues like resource misallocation and disorderly competition.