Case Study: YesMadam Resolves 33K Monthly Queries with Verloop.io Conversational AI

Yes Madam Automates Resolution for 33K Queries Per Month

YesMadam, a leading salon-at-home service in India, needed to scale customer support and booking confirmations as it expanded rapidly across cities. As call-center costs grew, the company sought a way to automate L1 queries and route customer issues more efficiently. To address this, YesMadam turned to Verloop.io and its conversational AI automation for Android and iOS app support.

Verloop.io implemented an in-app chatbot flow for booking help and support, allowing customers to access options from the My Bookings section, receive API-based responses, or be transferred to a live agent when needed. The solution now handles an average of 33,375 queries per month, with a 29.5% net deflection rate, 36% positive CSAT, a 25.3% improvement in average response time, and a 181.62% increase in conversations from Q4 23 to Q1 24, helping reduce agent load and high call volumes.

YesMadam

Rajat Garg

CTO | Lead Product & Tech