Peng Peng

Peng Peng

Inventory Optimizer, North Ap @ ExxonMobil

About Peng Peng

Peng Peng is an Inventory Optimizer at 埃克森美孚, North AP, with a background in supply chain and logistics, and a strong educational foundation in engineering.

Current Title and Role

Peng Peng is currently serving as an Inventory Optimizer at North AP for 埃克森美孚. In this position, Peng Peng leads strategic projects focused on enhancing supply chain analysis and delivering cash generation opportunities. Additionally, Peng Peng plays a vital role in implementing advanced SOP digital solutions and heads the NAP Data Science team to develop new digital analytics tools aimed at achieving COGS/OPEX savings.

Previous Work Experience

Peng Peng has an extensive background with 埃克森美孚, having previously worked as a Supply Planner from 2018 to 2019 in Taicang and as a Logistic Coordinator from 2014 to 2017, also in Taicang. Earlier in their career, Peng Peng completed internships with ETAS as a Marketing Assistant in Shanghai and with Johnson & Johnson as a Director Assistant in Shanghai.

Education and Expertise

Peng Peng holds a Master of Engineering (MEng) in Material from Shanghai Jiao Tong University, where they studied from 2009 to 2012. Prior to that, Peng Peng earned a Bachelor of Engineering (BE) in Processing of Polymer Material from Sichuan University, completing their studies from 2005 to 2009.

Role in Digital Solutions Implementation

In their current role, Peng Peng is pivotal in implementing advanced Standard Operating Procedure (SOP) digital solutions within the North AP region. This involves utilizing cutting-edge technology and data analytics to optimize inventory processes and improve operational efficiency.

Leadership in Data Science

Peng Peng leads the North AP Data Science team, focusing on the development of new digital analytics tools. These tools are designed to achieve cost savings in COGS (Cost of Goods Sold) and OPEX (Operating Expenses), contributing significantly to the company's operational efficiency and financial performance.

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