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Real Estate

Real estate teams receive enquiries on WhatsApp, property portals, phone calls and the website, often outside office hours. AI can help reply quickly, record every enquiry in one place and keep viewings and tenant requests on track.

These are possible applications based on common challenges, not a list of past clients. Where we run a similar working system, we show it.

1

Common challenges

  • Customer enquiries arrive from different channels, making follow-up difficult.

  • Messages that arrive late at night can wait until the next morning for a reply.

  • Arranging viewings and tracking tenant maintenance requests takes many back-and-forth messages.

2

Possible AI solutions

3

How it could work

  1. A customer sends a message on WhatsApp or the website about a property.
  2. The assistant answers from approved listing information and asks a few qualifying questions.
  3. The enquiry is saved in your CRM and a follow-up task is created for an agent.
  4. When the customer wants a viewing or asks something unusual, the conversation is handed to your team.
4

Systems it may connect to

  • WhatsApp Business
  • Website chat or enquiry form
  • Your CRM
  • Agent calendars
  • Property listings or portal feeds
5

Things to consider

  • Listing details and availability need to be kept up to date so answers stay accurate.
  • Agree which questions the assistant can answer and when it must hand over to an agent.
  • Customer contact details should be stored securely and used only for agreed purposes.
6

See something similar

No verified case study is published for this industry yet.

Internal Tool

Firasa CRM

Leads arrive automatically and follow-up tasks are created so enquiries are not forgotten.

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