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