📞 VoiceRecovery: Automated Abandoned Booking Recovery

Turning missed bookings into confirmed rides — autonomously, at scale.

📋 Executive Summary

Challenge: Bookings are frequently abandoned at the payment stage, representing direct, recoverable revenue loss that manual follow-up teams struggle to recapture consistently and at speed.

Solution: An outbound AI voice agent that automatically calls customers who abandoned a booking, confirms their details, answers questions from a structured knowledge base, sends payment links, and escalates only when necessary — all without human intervention.

Result: Abandoned bookings are contacted within minutes, not hours. Every call follows the same high-quality, brand-consistent script. Recovery happens 24/7 with zero agent overhead.

🚨 The Problem

Luxury transportation companies invest heavily in marketing to drive bookings — but a significant percentage of customers drop off at the final payment step. The traditional response to this is a manual callback queue, which introduces three compounding problems.

Speed is the first failure point. By the time a human agent calls back, the customer has often already booked with a competitor or simply lost intent. Consistency is the second. Different agents handle objections differently, answer policy questions differently, and represent the brand differently on every call. Scale is the third. During peak seasons or high-demand events, the volume of abandoned bookings can overwhelm a small team, meaning many leads are never followed up at all.

The result is predictable: recoverable revenue left on the table, every single day.

💡 The Solution

VoiceRecovery is an outbound voice automation agent purpose-built for abandoned booking recovery in the luxury ground transportation space.

When a booking is abandoned, the agent is triggered automatically with the full booking context — pickup location, drop-off, event date, vehicle type, passenger count, and more. It places an outbound call to the customer, confirms the details on file, listens to why the booking wasn't completed, and answers questions exclusively from a structured Knowledge Base — eliminating the risk of agents guessing, estimating, or misrepresenting policy.

If the customer is ready to proceed, the agent sends the payment link directly — via the call or SMS. If the customer can't talk, it handles the interaction gracefully and ends professionally. If escalation is needed, it hands off cleanly with a clear summary. Every outcome is handled. Nothing falls through the cracks.

🏗️ High-Level Architecture

graph TD
    A([Booking Abandoned]) --> B[Trigger: Booking Data Injected]
    B --> C[Subagent: First Node\nCan the user talk?]
    C -->|Yes| D[Subagent: Confirm Details]
    C -->|No| E[Subagent: Can't Talk\nGreet & End]
    D -->|User confirms details| F[Subagent: Why Didn't Finish?]
    D -->|User asks a question| G[Subagent: Direct Question\nKnowledge Base Lookup]
    D -->|Details are wrong| H[Subagent: Change Booking Details\nTool: edit_booking]
    F -->|Need to escalate| I[Subagent: Escalate\nTool: notify_human]
    G -->|Need to escalate| I
    G -->|Send payment link| J[Subagent: Where to Send Payment Link\nTool: send_email / send_sms]
    H -->|Details updated| J
    I --> K[Subagent: Call Transferred]
    J -->|Payment confirmed| L[Subagent: Success End Call]
    L --> M[Subagent: End Call After Success]
    K --> N([End])
    E --> N
    M --> N