How YTO’s AI‑Powered Smart Routing Cuts Planning Time from 5 Days to 1

During China’s 14th Five‑Year Plan, YTO (Yuantong) unveiled a self‑developed Intelligent Routing System that integrates big‑data and artificial‑intelligence technologies to create efficient, precise algorithm models for logistics transportation.

The system fuses massive historical logistics data with real‑time traffic information, applying data‑mining and optimization algorithms to calculate and dynamically adjust optimal routes, offering drivers multi‑dimensional comparisons of price, timeliness, and other factors for both transit and direct deliveries.

It also provides rapid responses to route queries, delivering optimization suggestions that improve scheduling efficiency. A standardized data workflow and dynamic feedback mechanism continuously refine routing options, markedly enhancing operational efficiency, resource utilization, and solving traditional issues such as capacity waste and delayed responses.

Deployed across YTO’s nationwide routing planning, the system has shortened routing analysis from five days to one day, projected to save over one hundred million yuan in annual transportation costs and accelerate the logistics industry’s digital and intelligent transformation.

Beyond routing, YTO leverages AI across its ecosystem—using large‑model technologies in “YTO‑GPT”, the “Jiangang” core database, and digital tools like “Luohan”, “Xingzhe”, “Yitong”, and the management cockpit—to enable intelligent collection, transit, routing, and customer service.