Case Study: OTTO achieves faster e-commerce personalization and catalog updates with MongoDB

OTTO slashes catalog update time from 12 hours to 15 minutes with MongoDB

OTTO, a leading German online retailer for fashion and lifestyle goods, faced significant challenges with its legacy systems. The company, which receives over two million daily site visitors, found that updating its massive product catalog of two million items was slow, taking up to 12 hours. This hindered its ability to quickly personalize the shopping experience and react to market changes in real time, which was critical for maintaining a competitive edge. To overcome this, OTTO turned to MongoDB for a solution.

By implementing MongoDB's flexible data model, OTTO was able to dramatically accelerate its catalog updates and site personalization. The solution slashed catalog update times from 12 hours to just 15 minutes. MongoDB also enabled incredibly fast reads and real-time analytics on customer behavior, allowing OTTO to deliver a unique and personalized experience for each visitor across all devices. Furthermore, MongoDB fostered development agility, enabling multiple autonomous teams to innovate quickly and risk-free. This technological transformation provided by MongoDB resulted in boosted engagement, revenue, and superior customer service for OTTO.

OTTO