Customer ServiceService Operations & CX

    AI Voice Agent for Service Appointments & Feedback

    Answered. Booked. Reminded. Measured. Every service call.

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    300→500
    Calls handled / day
    180→300
    Bookings / day
    120–220
    Human calls saved / day
    24/7
    Coverage
    Voice AI AgentInbound BookingOutbound RemindersMissed-Call RecoveryNo-Show RecoveryAppointment SchedulingCSAT CaptureSentiment AnalysisCall IntelligenceSpeech-to-TextText-to-SpeechConsent CaptureCRM SyncService Orchestration
    AI Voice Agent for Service Appointments & Feedback — Answered. Booked. Reminded. Measured. Every service call. | Customer Service AI case study by Wheelson BizAI

    By the numbers

    300–500
    Service calls / day
    600–1,000
    Reminder calls / day
    180–300
    Appointments booked / day
    120–220
    Human calls saved / day
    35–60
    At-risk visits recovered / day
    1.2k→2.5k
    Feedback calls / month

    Before After

    Calls handled / day300500
    Bookings / day180300
    Callbacks closed / day80140
    Feedback calls / month1.2k2.5k

    Illustrative operating model — figures vary by market, location count and call volume.

    The service call, end to end

    High-volume service runs on the phone — booking, reminders, callbacks, feedback — and each leg leaks: overflow queues, late reminders, missed calls never returned, feedback rarely captured. One closed-loop voice engine owns the whole loop, wired into the DMS/CRM under consent and brand-voice controls.

    Inbound, outbound, and the loop between

  1. Inbound answers instantly, captures intent, matches a slot to capacity, skills and location, confirms with a recap and consent.
  2. Outbound runs reminders, confirmations and no-show recovery, and calls back every missed or abandoned call.
  3. Feedback places post-service CSAT calls and reads sentiment at a scale humans never reach.
  4. What leadership sees

    Every transcript becomes CSAT, sentiment, topic and advisor-trend data across a daily, monthly and executive view. Calls handled climb 300→500/day, bookings 180→300/day, and 120–220 human calls are saved a day — multilingual and brand-safe, dropping into any market unchanged.
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    tirth@wheelsontech.com
    AI Voice Agent for Service Appointments & Feedback | Wheelson BizAI Case Study