LG Uplus Cuts Contact Center Handling Time 7% With MongoDB Data Platform
LG Uplus, a South Korean telecommunications company, has reduced average handling time by roughly 7% and improved resource efficiency by about 30% in its AI contact center after deploying MongoDB's cloud database platform.
The company signed a memorandum of understanding with MongoDB on April 22 to modernize how it manages data for AI for Customer Support operations. The partnership addresses a core problem in customer service: agents need instant access to fragmented customer data - past consultation records, interaction histories, and conversation logs - during live calls.
What Changed in Operations
LG Uplus deployed MongoDB Atlas, a cloud-based database, to power an advisor service within its AI contact center. The system now retrieves customer history and conversation logs in real time, allowing agents to see relevant context during interactions.
After each session, the platform automatically summarizes conversations and recommends consultation codes. These automation features cut the time agents spend on post-call work.
The 30% efficiency gain and 7% reduction in handling time came from faster data access and less manual follow-up work. For a contact center handling thousands of daily interactions, those percentages translate to measurable labor cost reductions.
Broader System Modernization
Beyond the contact center, LG Uplus plans to expand MongoDB's data platform across other AI services. The company also aims to modernize legacy system architectures that create bottlenecks for AI workloads.
Traditional IT systems often struggle with performance, flexibility, and interoperability when scaled for AI Agents & Automation. LG Uplus wants to rebuild its data and application operations to handle large-scale AI reliably.
Lee Sang-yeop, CTO at LG Uplus, said the company plans to apply the contact center improvements across enterprise-wide AI services, focusing on better interpretation of customer intent and context.
Boris Bialek, vice president and global field CTO at MongoDB, said the partnership demonstrates how unified data platforms can set operational standards for enterprise AI at scale.
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