Customer Success Stories
Voice AI for Real Estate: Transforming Lost Leads into Opportunities for Shivalik Group
Increase in Hiring Quality
Time saved by recruiters
Shivalik is one of Gujarat’s most recognized real estate developers – a name synonymous with trust, timely delivery, and aspirational living.
Over 25 years of delivering residential and commercial projects spanning affordable to luxury segments.
A massive family of individuals trusting our expertise to develop and hand over real estate across Gujarat.
Thousands have trusted Shivalik to build their homes and continuously deliver secure, aspirational spaces.
With an established legacy and multiple flagship projects actively in market, Shivalik was not struggling to generate interest. Digital campaigns were yielding massive volume. However, the true challenge emerged in the 48 hours after the inquiry. Because after that first touch of interest - the form filled late at night, the ad clicked during a lunch break - the follow-up lagged. Without an instant response mechanism, 4,237 leads a month were simply going dark, slipping away to competitors before a sales agent could even dial their number.
Real estate leads don’t wait. They browse four projects in a weekend and book with whoever reached them first. Shivalik was often not that call.
Every day, leads flowed in from digital campaigns. But connecting with them was a different story. Sales executives were manually calling through lists - and between meetings, site visits, and documentation, large batches of leads aged out. By the time a callback happened, the lead had already visited a competitor's site.
Shivalik's buyers primarily spoke Gujarati or Hinglish in daily life. But outreach was largely in formal Hindi or English. The result: calls that felt corporate, not conversational. Leads who felt like they were being sold to, not spoken with.
Not every lead is equal. Some filled out a form out of curiosity. Others had a budget, a timeline, and were ready to visit. But without a qualification layer, the sales team was spending equal time on both - burning hours on tire-kickers while genuinely interested buyers waited too long.
Even when a lead agreed to a site visit, they often arrived with vague expectations. Without the right information upfront (floor plan, possession timeline), site visits became longer, more uncertain, and harder to close.
Here’s how Rootle’s Voice AI intercepts and qualifies leads automatically, replacing manual dials with intelligent conversations.
Rootle deployed an Agentic Voice AI solution — not a basic IVR, not a chatbot, but a fully conversational AI that acts as a natural extension of Shivalik’s sales team.
Rootle's NLP is trained specifically for the Gujarat market – not just translation, but actual dialect comprehension, regional phrasing, and code-switching the way real buyers speak.
Rootle doesn't just dial — it dials smart. Leads are prioritized based on recency, campaign source, and inquiry type. Every conversation is relevant from the first word.
The moment a lead expresses interest, Rootle triggers a pre-built WhatsApp message – project brochure, floor plan, pricing, and a visit booking link – while the call is still live.
Every call is analyzed for intent signals. Leads are routed to the sales team with full call context, so every human handoff starts warm and informed.
We knew our leads were interested – that was never the problem. The problem was reaching them in time, in the right language, with the right information. Rootle solved all three in one go. Our sales team now focuses only on people who have already said yes to a visit.
Eight weeks after deployment, Shivalik’s lead list stopped being a liability. It became a pipeline.
Outbound calls connected
Positive response rate
Confirmed site visit rate
Leads lost to delay
Native-feel outreach
Project details sent during call
| Metric | Before Rootle | With Rootle AI | Improvement |
|---|---|---|---|
| Outbound Call Connect Rate | ~40% (manual) | 81% | +2× |
| Positive Response Rate | Ad hoc | 27% of connected calls | Qualified pipeline created |
| Hot Leads (Site Visits) | Untracked | 21% of connected calls | Predictable conversion |
| Monthly Leads Lost | 4,237 | Near zero | Fully recovered |
| Language Fit | Hindi/English only | Gujarati + Hinglish | Native-feel outreach |
Every conversation is scored automatically. Sales teams start each day knowing exactly who to call first – and why. Unqualified leads are filtered out naturally.
Deep-dive into Shivalik's lead sources, project specifics, buyer personas, and language nuances. Mapping the full outreach journey.
Custom AI training on Gujarat real estate vocabulary. NLP calibration. CRM integration for lead scoring and call logging.
Full campaign launch with real-time monitoring. Sales team onboarding on the dashboard. Rootle team on standby.
Continuous NLP refinement based on real call data. Script A/B testing. Bi-weekly performance reviews, automatically.
Shivalik had the projects. They had the leads. What they didn’t have was a fast, language-native, intelligent first line of outreach that could connect before interest expired.
Speed is the first filter. The developer who calls within hours wins the site visit. Delay sends leads to competitors.
Language is trust. A conversation in Gujarati is a signal that you understand your buyer. It builds instant rapport.
Not all leads are equal. Separating the 11% who will actually show up saves hundreds of hours of manual dialing.
Information closes the visit. A buyer who arrives knowing the floor plan and pricing needs less convincing.
