Trace Id is missing

From contact centres to revenue centres

Traditional contact centres struggle with high call volumes, repetitive tasks, agent burnout, and declining customer satisfaction. Inefficient processes and missed insights lead to a cycle of inefficiency and lost growth opportunities.

Rezo.ai automated operations, enhancing efficiency and enabling agents to focus on high-value tasks. It transformed contact centers into revenue functions by improving lead conversions, uncovering actionable insights, and delivering personalised customer experiences.

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ROI at scale

Rezo.ai used a combination of Azure OpenAI with Azure Compute and Cognitive Services to enable its customers achieve scalability, cost savings, and deliver exceptional customer satisfaction.

Rezo’s SaaS solutions have delivered significant quantifiable impacts: Enhanced engagement rates by 60% and generated 20% more leads, driving business growth. 
Reduced operational overheads by 62% and agent workloads by 60%. Improved customer satisfaction scores by 40% and contained 80% of calls through automation. 
Increased agent productivity by 23%, reduced Average Handle Time (AHT) by 17%, and boosted Customer Lifetime Value (CLTV) by 25%. AI agents handle 72 million calls per month across 10+ languages, with a 92% call value extraction rate

Manish Gupta

Manish Gupta

 CEO & Co-founder

 At Rezo.ai, we believe AI can transform customer experiences by making them faster, more personal, and scalable. By combining Azure OpenAI models with our AI and NLP technologies, we’ve helped businesses manage growing customer interactions with ease. This allows them to offer meaningful, efficient service, reduce costs, and improve customer relationships for long-term success

60%
enhanced engagement rates 
20%
more leads
72
million calls per month handled by AI agents

Rezo.ai aims to unlock the full potential of AI-powered CX Cloud centers.
More details at https://www.rezo.ai

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