Case Study: SiCepat Ekspres scales to 40 million packages a month with MongoDB Atlas

SiCepat Ekspres scales to 40 million packages a month with MongoDB Atlas

SiCepat Ekspres, a leading Indonesian logistics firm, faced significant challenges scaling its operations to handle explosive e-commerce growth. Their existing relational database infrastructure caused performance issues and hindered their ability to innovate quickly. To support their goal of managing complex, real-time logistics data for millions of packages, they turned to the vendor MongoDB and its MongoDB Atlas platform.

By implementing MongoDB's modern database platform, including MongoDB Atlas and MongoDB Realm, SiCepat achieved seamless scaling. The solution resulted in a quadrupling of delivery capacity to two million packages per day and a reduction in data processing time by over 98%, from three hours to just two minutes. MongoDB enabled the company to reliably handle 40 million monthly deliveries, supporting its transformation into an end-to-end logistics powerhouse.

SiCepat Ekspres