STO Express Launches 'SClaw', the Logistics Industry's First AI Agent Platform

STO Express has officially unveiled 'SClaw', the first AI agent platform in China's express delivery industry, marking the first time a logistics company has systematically introduced AI agent technology across the full chain of delivery operations.

According to STO Express, SClaw is built on large language models and agent architecture, enabling it to autonomously understand task objectives, break down operational steps, and call backend systems for execution. The platform covers multiple critical aspects of delivery operations, including intelligent sorting and scheduling, real-time transportation route optimization, automatic exception handling, and smart customer service with ticket routing.

In parcel sorting, SClaw analyzes traffic data in real time to dynamically adjust sorting strategies, reducing manual intervention. For transportation management, it combines road conditions, weather, and time requirements to automatically generate optimal route plans, triggering emergency adjustments when anomalies occur. In customer service, SClaw handles large volumes of standard inquiries, escalating complex issues to human agents.

The launch is significant for the logistics industry. Express delivery is a labor-intensive sector generating massive volumes of shipment data, routing information, and customer interactions daily. Traditional software systems require substantial human involvement for complex decision-making. By introducing autonomous decision-making through agents, SClaw has the potential to significantly improve operational efficiency and reduce labor costs.

This release also reflects how AI agent technology is moving from tech companies into real-world business scenarios in traditional industries. Verticals including logistics, manufacturing, and retail are becoming key battlegrounds for agent deployment, with industry leaders accelerating their adoption.