Sendbird AI Cuts Lotte Homeshopping Customer Inquiries by 40% with Quality Control

Sendbird has innovated Lotte Home Shopping's Quality Assurance (QA) process with AI, proving the practical value of enterprise AI agents. The AI assistant 'Moni', created by combining Sendbird's AI Agent Platform with Anthropic's large language model Claude, has established itself as the core engine for Lotte Home Shopping's QA. Moni has automated precision-required QA tasks such as reviewing test reports, verifying certification documents, and product labeling 24/7, reducing repetitive response tasks for personnel by 40%. Notably, in the fashion sector, where rapid launch is crucial, it has achieved the remarkable feat of significantly shortening the lead time from product planning to broadcasting. This success is particularly noteworthy because the Sendbird AI agent was built to perfectly meet Lotte Home Shopping's stringent security standards, including two-factor authentication, message filtering, and customer access rights management. A Lotte Home Shopping official stated, "It was the most ideal combination in all aspects, including security, flexibility, and integration efficiency with Claude, and the Sendbird AI agent proved its excellent performance even in a QA environment that demands accurate judgment." Lotte Home Shopping is currently expanding Moni's application scope from fashion to home appliances and daily necessities categories, and is actively utilizing AI for automating regulatory review processes such as KC certification. Further expansion into areas like call centers and broadcasting production is also being considered, raising even greater expectations for the Sendbird AI agent's performance. Kim Dong-shin, CEO of Sendbird, emphasized that "this collaboration is a meaningful example demonstrating that AI agents can lead to tangible operational results in an enterprise environment."