Welcome back to MongoDB’s bi-monthly roundup of customer success stories! In this series, we’ll share inspirational examples of how organizations around the globe are working with MongoDB to succeed and address critical challenges in today’s multihyphenate (fast-paced, ever-evolving, always-on) world.
This month’s theme—really, it could be every month’s theme—is adaptability.
It’s almost cliché but true: adaptability has never been more essential to business success. Factors like the increasing amount of data in the world (currently almost 200 zettabytes) and the rise of AI means that organizations everywhere have to adapt to fundamental changes—in what work looks like, how software is developed and managed, and what end-users expect.
So this issue of “Innovating With MongoDB” includes stories of MongoDB customers leveraging our database platform’s flexible schema, seamless scalability, and fully integrated AI capabilities to adapt to what’s next, and to build the agile foundations needed for real-time innovation and dynamic problem-solving.
Read on to learn how MongoDB customers like LG U+, Citizens Bank, and L’Oreal aren’t just adapting to change—they’re leading it.
LG U+
LG U+, a leader in mobile, internet, and AI transformation, operates one of Korea’s largest customer service centers, handling 3.5 million calls per month.
To tackle inefficiencies and improve consultation quality, LG U+ developed Agent Assist on MongoDB Atlas. Leveraging MongoDB Atlas Vector Search, LG U+ integrates vector and operational data, unlocking real-time insights such as customer intent detection and contextual response suggestions.
Within four months, LG U+ increased resource efficiency by 30% and reduced processing time per call by 7%, resulting in smoother interactions between agents and customers. By paving the way for intelligent AI solutions, LG U+ can deliver more reliable and personalized experiences for its customers.
Citizens Bank
Citizens Bank, a 200-year-old financial institution, undertook a significant technological transformation to address evolving fraud challenges. In 2023, the bank initiated an 18-20 month overhaul of its fragmented fraud management systems, shifting from legacy, batch-oriented processes to a comprehensive, cloud-based platform on MongoDB Atlas on AWS.
This transition enables real-time fraud detection, significantly reducing losses and false positives. Importantly, the new platform provides Citizens Bank customers with enhanced security and a smoother, more reliable banking experience. With Atlas’ flexible schema and cloud-based capabilities, Citizens Bank can quickly implement new fraud prevention strategies in minutes instead of weeks. The bank is now experimenting with MongoDB Atlas Search and generative AI to improve predictive accuracy and stay ahead of emerging fraud patterns.
Through our partnership with The Stack, learn how our customers are achieving extraordinary results with MongoDB. This exclusive content could spark the insights you need to drive your business forward.
BioIntelliSense
BioIntelliSense is revolutionizing patient monitoring. Their BioButton® wearable device continuously captures vital signs and transmits the data to the BioDashboard™. This platform allows clinicians to monitor patients, access patient information, and receive near real-time alerts about potential medical conditions.
After outgrowing its legacy SQL database, BioIntelliSense reengineered the end-to-end architecture of BioDashboard™ using MongoDB Atlas on AWS, Atlas Search, and MongoDB Time Series Collections. The new system now scales to support hundreds of thousands of concurrent patients while ensuring 100% uptime. By optimizing their use of MongoDB 8.0, BioIntelliSense also identified 25% of their spend that can be redirected to support future innovation.
Enpal
Enpal, a German start-up, is addressing climate change by developing one of Europe’s largest renewable energy networks through solar panels, batteries, and EV chargers. Beyond infrastructure, Enpal fosters a community interconnected through data from over 65,000 devices. By utilizing MongoDB Atlas with native time series collections, Enpal efficiently manages 200+ real-time data streams from these devices.
This innovative approach forms a virtual power plant that effectively supports the energy transition and is projected to reduce processing costs by nearly 60%. MongoDB enables Enpal to manage large data volumes cost-effectively while providing precise, real-time insights that empower individuals to make informed energy decisions.
Video spotlight: L’Oreal
Before you go, be sure to watch one of our recent customer videos featuring the world’s largest cosmetics company, L’Oreal.
Want to get inspired by your peers and discover all the ways we empower businesses to innovate for the future? Visit our Customer Success Stories hub to see why these customers, and so many more, build modern applications with MongoDB.
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