Conversational AI voice agent that autonomously conducts inbound travel sales calls, qualifies leads with a conversion confidence score, and seamlessly hands off to human agents when needed.
Travel businesses were losing potential leads due to missed calls and inconsistent qualification by human agents, resulting in poor follow-up prioritization and lost revenue.
Deployed a real-time AI voice agent using Deepgram, OpenAI, and Cartesia that conducts structured yet natural sales conversations, scores leads on conversion likelihood, and escalates to human agents only when genuinely required.
Engineered an end-to-end AI-powered voice agent for a travel business that autonomously handles inbound customer calls, simulating the experience of speaking with a live travel consultant. The agent engages callers in natural conversation to gather key travel intent signals — destination preferences, travel dates, group size, budget range, and other qualifying information.
Built on a real-time voice stack using Deepgram for speech-to-text transcription, OpenAI for natural language understanding and response generation, and Cartesia for lifelike text-to-speech synthesis. The pipeline operates with low enough latency to sustain natural back-and-forth conversation without awkward delays.
Once sufficient information is collected, the system automatically generates a structured lead with a confidence score indicating the likelihood of conversion — enabling sales teams to prioritize follow-ups intelligently. If the caller requires personalized assistance or the agent detects escalation signals, the call is seamlessly transferred to a human representative in real time.
Tangible Impact
Enabled 24/7 autonomous lead capture with consistent qualification quality, reduced dependency on front-line sales staff for initial screening, and delivered prioritized lead pipelines with confidence-scored conversion estimates.
© 2024 NIKHIL
BACK TO TOP ↑