Case Study: LG U+ achieves 30% efficiency gains with MongoDB

LG U+ improves efficiency by 30% with MongoDB

LG U+, a major telecommunications company and subsidiary of LG Corporation, faced inefficiencies at its large customer service center due to an inflexible relational database. This system struggled with complex, unstructured data and caused delays in data retrieval, hindering the company's goal of improving consultation quality. To power a new AI tool for its agents, LG U+ needed a robust and scalable document database solution from a vendor like MongoDB.

The company implemented MongoDB Atlas and used MongoDB Atlas Vector Search to build its Agent Assist AI solution. This allowed LG U+ to manage both operational and vector data in a single system, enabling real-time AI features. The results included a 30% improvement in resource efficiency, a 7% reduction in call processing times, and seamless performance during peak hours.

LG U+