Work - Real Estate

BACKGROUND

Real estate teams were spending heavily on digital leads from portals and ads, but a large percentage of inquiries never turned into site visits.

Calls were missed during peak hours and after 7 PM.
Sales teams couldn’t consistently call back every new lead within minutes.
Prospects preferred to speak in Hindi or mixed Hindi–English, while many agents responded only in English.
There was no consistent way to capture intent, budget, and timeline from every caller.

This led to wasted marketing spend, low lead-to-visit conversion, and an unpredictable sales pipeline.

SOLUTION

Aguken AI deployed a conversational voice AI agent as a first-line caller and call receiver for all new real estate inquiries.

The AI voice agent called new leads within minutes of form submission from portals or the website.
It spoke naturally in Hindi, English, or Hinglish, depending on the customer, and followed a structured qualification script.
It captured key parameters: budget range, preferred location, configuration (1/2/3 BHK), purchase timeline, and seriousness.
For high-intent leads, the agent booked site visits or scheduled a callback with a human sales executive.
All conversations, call summaries, and lead scores were pushed into the CRM for complete visibility.

IMPACT

By automating first-contact and qualification, the developer:

Dramatically increased lead contact rates, especially outside office hours.
Saw a clear improvement in site visit bookings, as hot leads were contacted when they were most responsive.
Reduced the time sales reps spent on chasing low-intent or invalid leads, allowing them to focus on serious buyers.
Gained a consistent, structured view of every inquiry—no more scattered notes or missed details.

For a real estate business, this translates into better ROI on lead spend, a stronger pipeline of qualified site visits, and faster unit closures.

Real Estate

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