Case Study: GOGOX achieves real-time logistics prediction and stronger infrastructure stability with Looker

GoGoX Optimizing logistics services with real-time data prediction

GoGoX, a Hong Kong-based logistics technology company operating across Asia, needed a way to modernize its cloud infrastructure and build real-time predictive analytics without adding heavy operational burden. It turned to Looker as part of its broader Google Cloud data stack, alongside tools like BigQuery and Cloud Composer, to improve decision-making and support its logistics operations.

Looker helped GoGoX centralize and visualize data from multiple sources, making it easier to deliver timely insights to stakeholders and power predictive models. With this solution, GoGoX achieved measurable gains in its order-assignment system, including a 42% reduction in driver subsidy, a 96% increase in GGB orders served by OA drivers, and a 30% decrease in total GGB incentive spend.

GOGOX

Fu-Ming Tsai

Head of Engineering