Case Study: Woolworths achieves faster, more reliable e-commerce operations with MongoDB Atlas

WoolWorths cuts stock updates to under 60 seconds with MongoDB

Woolworths, Australia's largest retailer, faced significant challenges with its legacy database systems, which were stifling innovation and scale. The rigid, monolithic architecture caused issues with data staleness, scaling constraints, and a lack of agility, preventing the company from efficiently meeting growing e-commerce demands. To overcome this, Woolworths partnered with MongoDB and adopted its MongoDB Atlas database platform to build modern, API-centric services.

By implementing MongoDB Atlas with its flexible document model, Woolworths unlocked new levels of scale, flexibility, and agility. The solution powered critical services like real-time inventory, personalized promotions, and fulfillment operations. MongoDB delivered measurable results, including reducing stock update times from hours to under 60 seconds, enabling 41% of online orders to be fulfilled within two hours, and providing four years of continuous uptime, all of which enhanced value and convenience for millions of customers.

WoolWorths