Case Study: Pitney Bowes achieves scalable real-time logistics with MongoDB Atlas

Pitney Bowes scales real-time logistics for 17B mail pieces a year with MongoDB

Pitney Bowes, a global logistics company processing 17 billion pieces of mail annually, faced the challenge of needing a highly reliable and scalable cloud database to support its digital transformation. They required a solution that would deliver zero downtime, built-in resilience, and multi-cloud capabilities while reducing operational overhead. To address this, they turned to vendor MongoDB and its fully-managed service, MongoDB Atlas.

By implementing MongoDB Atlas on AWS, Pitney Bowes gained a database that is easy to provision and requires little administrative attention. The solution provided non-disruptive upgrades with no downtime and became the backbone of their e-commerce logistics business, enabling real-time data access and decision-making. This resulted in a greatly reduced total cost of ownership compared to other database solutions, allowing the company to successfully scale its $1 billion-plus e-commerce business and invest in more strategic areas.

Pitney Bowes