Automotive · Premium automotive group, Malaysia

72% show rate vs 40% baseline: outbound voice AI for a Malaysian automotive group

Customers didn't realise they were speaking to AI.Head of Digital

72%
event show rate (vs 40% baseline)
85%
intent recognition accuracy on Manglish calls
100%
call answer rate (from 60%)
24/7
coverage (from none after-hours)

The situation

A premium automotive group in Malaysia ran weekend test-drive events as a core sales motion. Confirming attendance meant sales staff spending full days on manual outbound calls — time that should have gone to selling. Show rates hovered around 40%, calls went unanswered after hours, and campaign volume was capped by human calling capacity.

What MORR deployed

Outbound voice AI with native Bahasa–English–Manglish code-switching, deployed for test-drive RSVP campaigns:

  • Persuasive confirmation calls — not robocalls: the agent handled objections, rescheduled conflicts, and confirmed calendar slots conversationally.
  • Code-switching at production quality — "Eh, Saturday tak boleh lah, Sunday can ah?" handled correctly, at 85% intent recognition accuracy on live calls.
  • Full campaign automation — thousands of calls per campaign, with every outcome logged automatically. No after-call work for staff.

The results

Show rates rose from roughly 40% to 72% — nearly doubling the yield of every event — while call answer rates hit 100% and coverage extended around the clock. Sales staff returned to selling. Customers, in the client's own words, didn't realise they were speaking to AI.

Why it worked

Global voice platforms score under 50% on Malaysian code-switched speech; MORR's proprietary Manglish NLP holds 85% in production. That gap is the difference between an AI that annoys customers and one they mistake for a colleague.

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