Case Study: Multinational E-Commerce Corporation boosts chatbot resolution rates with LatentView Analytics

Multinational E-Commerce Corporation cuts chatbot escalations from 20% to 4.48% with LatentView Analytics

LatentView Analytics partnered with a multinational e-commerce corporation that was facing challenges after launching a new chatbot for its UK market. The client needed continuous monitoring and reporting on key performance metrics to improve the bot's functionality, as it was initially causing a high volume of customer service queries to be escalated to human agents.

The solution from LatentView Analytics was a performance monitoring dashboard that tracked critical metrics like engagement rates and chat disconnects. This enabled the client to analyze call escalations and classify the reasons for them, leading to a dramatic improvement in the chatbot's performance. The escalation rate dropped from 20% to 4.48%, and the resolution rate jumped to 85%, significantly optimizing customer service operations.