Case Study: Lokalee cuts search time by 85% and boosts sales with MongoDB Atlas Search

Lokalee decreases search time by 85% and boosts sales by 37% with MongoDB

Lokalee, a provider of white-labeled booking platforms for hotels, faced a challenge when its inventory grew from 20,000 to 350,000 tickets. This rapid expansion caused search times to slow dramatically, risking user drop-off and hindering the customer experience on its platforms. To support its growth, Lokalee needed a faster, more scalable search solution integrated with its existing MongoDB Atlas database.

By implementing MongoDB Atlas Search with the help of MongoDB Professional Services, Lokalee unified its search functionality into a single, efficient endpoint. The solution decreased search times from 25 seconds to just 3-4 seconds, an 85% improvement. This enhanced user experience directly contributed to a 37% increase in sales. MongoDB's solution also streamlined developer workflows, drastically reducing issue resolution times.

Lokalee