Junhao (Lawrence) Gao

• Oversaw daily warehouse operations, including inbound/outbound order processing, driver dispatch, and exception handling to ensure timely and accurate last-mile deliveries.
• Maintained order and safety in the warehouse, and communicated with cross functional teams to improve operational efficiency.
• Managed scheduling and performance of warehouse staff and sorters based on volume needs, optimizing labor allocation and maintaining operational efficiency.
• Ensured WMS system data integrity, orchestrated cross dock trunk transfers, and upheld warehouse safety, cleanliness, and equipment readiness.
• Supervised driver check-ins and ensured all packages were accurately scanned and assigned to the correct delivery routes before departure.

•Oversee and Manage a team of delivery drivers and dispatch personnel
•Monitor daily logistics operations to proactively address any disruptions or delays
•Track and analyze KPIs such as on-time delivery rates, customer satisfaction, productivity, and route optimization
•Coach, train, and evaluate team performance, promoting continuous improvement and team engagement
•Collaborate with warehouse teams to coordinate shipments, inventory, and resource allocation effectively

• Worked with warehouse, project management, and customer service teams to enhance on-time delivery rates, improving customer satisfaction and service levels.
• Implemented advanced routing solutions that reduced average delivery times by 15% and decreased late deliveries from 25% to 5% per day.
• Managed over 100 daily delivery routes, ensuring optimal route selection and efficient use of resources.
• Coordinated a fleet of over 100 vehicles, increasing utilization from 85% to 95%.
• Achieved over 95% customer satisfaction by optimizing communication processes and addressing issues promptly.
• Leveraged KPIs and real-time data for decision-making, enabling continuous operational improvements.

• Monitored key performance metrics, including on-time rates, ETA, and shift fulfillment, to improve overall delivery efficiency and reliability.
• Conducted order volume forecasting and data analysis to maintain consistent delivery performance while controlling costs.
• Coordinated cross-functional data reporting, providing stakeholders with accurate performance insights to support decision-making.