Case Study: Lotte Homeshopping improves QA efficiency and partner satisfaction with Claude and Sendbird

Lotte Homeshopping improves QA efficiency and partner satisfaction with Claude and Sendbird

Lotte Homeshopping, a major Korean home shopping operator, faced significant delays in its product launch process. Communication bottlenecks between its quality assurance teams and product partners were prolonging timelines, as partners needed to verify complex test reports and compliance documentation through slow, multi-channel exchanges.

To address this, Lotte Homeshopping implemented the Claude AI platform through the Sendbird messaging infrastructure to create an AI assistant named Moni. The solution processes an average of 53 partner questions daily, which reduced inquiries to human QA staff by 30-40%. This improved partner satisfaction and allowed the company to successfully expand the AI assistant from fashion to multiple other product categories.

Lotte Homeshopping

Oh Ju-young

Lotte Homeshopping