The problem
The company receives hundreds of thousands of support requests per day from consumers, merchants, and delivery workers, creating pressure on contact-center capacity.
The solution
An AI voice agent uses speech recognition, LLMs, low-latency response generation, workflow automation, and knowledge retrieval to answer common support questions and escalate more complex issues. The system functions as a scalable voice-based self-service layer, handling routine calls while routing edge cases or sensitive issues to human support.
Key results
- 100,000s/dayCalls fielded by the AI solution
- ≤2.5 secResponse latency
- Routine support capacity increased without proportional contact-center expansion