
With only a small fraction of calls being analyzed manually, Spinny had limited visibility into customer experience and agent performance, leading to lower conversions.
Rezo's Agentic AI solution monitored customer–agent interactions, providing automated customer-reason categorization, detailed agent performance evaluation, sentiment and lead-score analysis.
Maruti's service centers were retaining customers for only 1.5 years compared to the industry average of 11 years, resulting in significant revenue leakage in a high-margin vertical.
Rezo's Agentic AI platform enabled self-service for simple queries, automated service scheduling, outreach to dormant customers, timely reminders, post-service feedback collection and upgradation calls.
Livguard was operating two separate contact centers with limited availability, creating inefficiencies in managing inbound queries and service requests that impacted operations and customer experience.
Rezo's Agentic AI system autonomously handled inbound queries, streamlined complaint registration, tracked complaint status, delivered product information and identified upsell opportunities.
With low connect rates, limited follow-ups, and a capacity of only 400 calls per day, IIT Delhi was struggling to meet its goal of enrolling 200 students in a new course within 20 days.
Rezo's Agentic AI Agents enabled personalized outreach with automated student categorization, self-managed call-volume optimization, continuous self-improvement and regular follow-ups.
Overwhelming claim-status queries, manual paperwork, and error-prone operations were causing delays for a leading insurance provider in resolving claims, ultimately impacting customer satisfaction.
Rezo's Agentic AI platform can accurately fetch claim numbers from the database, enabling autonomous information handling, personalized resolutions and reduced agent workload.
A leading Indian NBFC was struggling with low collection efficiency and needed a more personalized outreach approach to help customers make timely payments.
Rezo's Agentic AI agents analyzed existing customer data and delivered personalized interactions by selecting the optimal channels, language and timing, while conducting human-like conversations.
With only a small fraction of calls being analyzed manually, Spinny had limited visibility into customer experience and agent performance, leading to lower conversions and missed opportunities.
Rezo's Agentic AI solution monitored customeragent interactions, providing automated customer-reason categorization, detailed agent performance evaluation, sentiment and lead-score analysis.
Maruti's service centers were retaining customers for only 1.5 years compared to the industry average of 11 years, resulting in significant revenue leakage in a high-margin vertical.
Rezo's Agentic AI platform enabled self-service for simple queries, automated service scheduling, outreach to dormant customers, timely reminders, post-service feedback collection and upgradation calls.
Livguard was operating two separate contact centers with limited availability, creating inefficiencies in managing inbound queries and service requests that impacted operations and customer experience.
Rezo's Agentic AI system autonomously handled inbound queries, streamlined complaint registration, tracked complaint status, delivered product information and identified upsell opportunities.
With low connect rates, limited follow-ups, and a capacity of only 400 calls per day, IIT Delhi was struggling to meet its goal of enrolling 200 students in a new course within 20 days.
Rezo's Agentic AI Agents enabled personalized outreach with automated student categorization, self-managed call-volume optimization, continuous self-improvement and regular follow-ups.
Overwhelming claim-status queries, manual paperwork, and error-prone operations were causing delays for a leading insurance provider in resolving claims, ultimately impacting customer satisfaction.
Rezo's Agentic AI platform can accurately fetch claim numbers from the database, enabling autonomous information handling, dynamic process navigation, personalized resolutions and reduced agent workload.
A leading Indian NBFC was struggling with low collection efficiency and needed a more personalized outreach approach to help customers make timely payments.
Rezo's Agentic AI agents analyzed existing customer data and delivered personalized interactions by selecting the optimal channels, language and timing, while conducting human-like conversations.












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"We are thrilled to announce the successful automation of our voice bot call center! Rezo's efforts have not only streamlined our operations but also significantly enhanced customer experience and efficiency."
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Rezo has enabled us to digitize conversations with our customers. We have a lot of customers and we are trying to give a standard experience and automate a lot of these customer conversations. Rezo has made this possible for us and it is going quite well.



