Case Study: Kata.ai improves chatbot analytics and customer insights with Holistics

Delivering and extracting chatbot data to reap behavioral insights for AI

Kata.ai, an Indonesian conversational AI company, needed a better way to manage and analyze messy chatbot data at scale. As it processed around 9 million messages per day for enterprise clients, the team struggled to extract behavioral insights, train its chatbot more effectively, and create clear reports for both internal teams and customers. Kata.ai used Holistics as its business intelligence platform to help track conversational data and product metrics.

With Holistics, Kata.ai connected messaging databases to build dashboards, parse chat messages by intent, and share client-specific analytics through secure access permissions and filters. The team also automated delivery of reports to Slack and Google Sheets, helping them monitor active users, sessions, campaign performance, and other KPIs more efficiently. By using Holistics, Kata.ai improved customer reporting, supported chatbot training, and gained the flexibility to evolve its analytics pipeline without locking into one technology stack.

Kata.ai

Gelar Pradipta Utama

Head of Product