The Qianyu platform operates on a 'Point-Line-Plane-Dynamic' framework, synthesizing vast datasets—including 80 million points of interest and 5 million kilometers of road networks—into a machine-readable system. By automating tasks like store location selection and demand heatmap generation, the platform aims to reduce workflows that previously consumed days of manual labor into near-instantaneous, traceable recommendations.

Beyond enterprise analytics, Amap is pushing spatial intelligence into consumer hardware. The company is integrating 'Eagle Eye Guardian' safety alerts into two-wheel mobility devices to provide collision warnings, while partnering with brands like Xiaomi and Ninebot to embed navigation features into smart glasses and wearables. These tools are now compatible with major operating systems, including Android, Linux, and OpenHarmony.

To support global expansion, Amap is leveraging its World Map service, which tracks over 300 million points of interest and 900 million address records. This infrastructure provides logistics and travel operators with advanced navigation capabilities, such as lane-level guidance and junction views, now adapted for international markets with multi-language support. By shifting spatial intelligence from static maps to dynamic, agent-driven workflows, Amap is positioning its technology as a foundational layer for real-world decision-making.