Kai Wang Lau
About Kai Wang Lau
Kai Wang Lau is a Supply Chain Operations Associate at Flexport in Hong Kong SAR, with a background in logistics, procurement, and operations.
Title
Kai Wang Lau holds the position of Supply Chain Operations Associate, Network at Flexport in the Hong Kong Special Administrative Region. In this role, Lau plays a crucial part in optimizing and managing supply chain operations.
Professional Experience
Kai Wang Lau has accumulated extensive experience in supply chain and logistics operations. Prior to the current role as Supply Chain Operations Associate at Flexport, Lau served as an Operations Specialist at Flexport from 2019 to 2020, also in Hong Kong SAR. Earlier positions include Procurement Intern at China Mobile International Limited from 2018 to 2019, Logistics Operation Intern at Shenzhen Yuehai Global Supply Chain Co., Ltd. in 2018, and Gymnastics Coach Assistant at Kwok Tak Seng Catholic Secondary School from 2016 to 2018.
Educational Background
Kai Wang Lau has a strong academic foundation in business and supply chain management. Lau earned a Bachelor of Business Administration (Hons) - BBA in Global Supply Chain Management from 香港理工大學 from 2017 to 2019. Additionally, Lau holds an Associate's Degree in Business Administration from HKUSPACE Community College, achieved between 2015 and 2017. Furthering technical skills, Lau completed a Distance Learning Program in Introduction to Internet of Things (XEE100-008) through Stanford University School of Engineering from 2018 to 2019.
Roles and Responsibilities
In the capacity of Supply Chain Operations Associate, Network at Flexport, Kai Wang Lau is responsible for implementing operational infrastructure and procedures that enhance workflow efficiency and productivity. Furthermore, Lau participates in feedback loops to ensure client needs are met, supports account management, and consults with regional teams, product & engineering teams, and the operations excellence team. Lau also uses data metrics to identify areas for improvement in data quality and shipment milestone timeliness.