How a Smart Assistant Turned a Chaotic Courier Hub into a High‑Performance Leader

Zhang Baolai, head of YTO Express’ Qingyang branch in Gansu, described the previous situation: the branch processed about 70,000 parcels a day across 14 contracted areas with over a hundred staff, yet key metrics such as on‑time signing and real‑time ticket resolution lingered around 30 points, far below the 60‑point passing line.

Because of fragmented processes and unclear responsibilities, staff often “kicked the can” when problems arose, leading to amplified errors across the whole chain.

In May, YTO’s technology team launched the “Site Manager Intelligent Assistant”, a self‑developed tool that goes beyond simple dashboards by delivering “data + responsibility + solution” pushes to managers.

Every day at 20:00 the system sends the day’s loss details, responsible persons, and remediation suggestions via private messages to the site manager; the next day at 08:00 it pushes the previous day’s financial and operational analysis for quick morning‑meeting deployment. The algorithm flags anomalies such as false signings, low signing rates, and first‑pickup timeliness, and automatically generates prioritized corrective actions.

To make data understandable for frontline staff, the system creates a “Service Quality – Site Manager Group” for each hub, gathering managers, quality control, customer service, and operation supervisors. Group members can customize which indicators and push times appear, enabling a “plug‑and‑play” experience that turns complex reports into actionable checklists.

Within two months, the branch saw a marked rise in first‑pickup and signing timeliness, a drop in false signings and loss rates, and ticket‑resolution rates approaching 100 %. The overall service quality score leapt from 30 to over 80 points, briefly reaching a perfect score, and the branch shed its “lagging” label to become a provincial top performer.

Zhang emphasized that larger volumes demand “digital eyes”, and the ongoing iteration of the intelligent assistant will continue to unlock more business scenarios, turning logistics management into a data‑driven, accountable process.