DRA Homes launches Chennai's first multilingual virtual sales AI assistant
DRA Homes introduced Chennai's first multilingual virtual sales AI assistant at CREDAI Fairpro. Buyers can check property details, pricing, amenities, and book site visits in one place, in their preferred language. For sales teams, this means cleaner pipelines, faster qualification, and fewer missed opportunities.
The assistant isn't a siloed chatbot. It blends instant answers with a live handoff to human advisors, keeping deals moving without losing the personal touch.
What this means for sales teams
- 24/7 multilingual lead capture: Engage NRI buyers and local walk-ins without language friction.
- Instant qualification: Surface budget fit, location interest, and timeline before an agent steps in.
- Live inventory and pricing clarity: Fewer "let me check and get back to you" moments.
- Frictionless booking: Site visits scheduled on the spot with confirmations and reminders.
- Consistent product story: Every prospect hears the same crisp value narrative.
How it fits the funnel
- Attract: QR codes and kiosks at events, malls, and airports invite quick scans and chats.
- Engage: Multilingual prompts reduce drop-off and keep questions focused.
- Qualify: Budget, unit type, location, and financing readiness collected up front.
- Convert: Instant slots for site visits and callbacks minimize lag.
- Handoff: Smooth escalation to agents with full chat context for zero repetition.
Blending AI speed with human advice
Attendees at Fairpro gave the assistant a clear nod for faster, more transparent evaluation. Prospects get quick answers while advisors step in for nuanced concerns like financing, legal checks, or upgrade options. The result is less back-and-forth and more momentum toward a decision.
Rollout and vision
DRA Homes plans to extend the assistant to malls and airports next, meeting buyers where attention is highest. Managing Director Ranjeeth Rathod says they're aiming to, in his words, "redefining how homes are marketed, explored and purchased."
Manoj Vasudevan, Head - Sales, Marketing & CRM, adds that the platform is built around what homebuyers expect now: speed, transparency, and personalized engagement.
Playbook to pilot this in your org
- Start small: One project, one language pair, one clear CTA (book a site visit).
- Script essentials: Pricing logic, availability rules, amenity FAQs, and location travel times.
- Set guardrails: Approved language, disclaimers, and escalation triggers.
- Integrate CRM: Push every chat, tag intent and language, auto-create tasks and follow-ups.
- Onsite distribution: QR codes on hoardings, kiosks at events, NFC cards for brokers.
- Human handoff: Warm transfer to agents with full chat transcript and buyer profile.
- Feedback loop: Weekly review of missed intents, update scripts, retrain on edge cases.
KPIs that matter
- Lead capture by language and channel (event, mall, airport, web).
- Time-to-first-response and time-to-appointment.
- Qualified rate (budget fit + timeline) and appointment conversion.
- No-show rate and reschedule rate with reminder impact.
- Agent time saved per deal and revenue per agent hour.
- CSAT from post-chat and post-visit surveys.
Risks to manage
- Accuracy: Lock pricing ranges, availability, and legal info behind verified sources.
- Compliance and privacy: Clear consent, data retention rules, and audit trails.
- Bias and language quality: Test across dialects; monitor for uneven responses.
- Expectation setting: Disclaimers for estimates; route financial/legal questions to experts.
Level up your team's AI capability
If you're building a similar assistant for real-estate sales, this AI Learning Path for Real Estate Brokers covers workflows for lead capture, qualification, and site-visit automation.
Your membership also unlocks:
