Inquiries from portals, phones and email land in one place. AI responds in seconds, qualifies the customer and suggests which listing to show, with no need to hire another person.
The most common cause is response time. A customer sends an inquiry about an apartment and waits hours, sometimes a day. Meanwhile they write to two other agencies and book a viewing with the first to reply. The second cause: inquiries scattered across email, portals and phones, with no one knowing how many there are or at what stage.
An inquiry from a portal arrives in the evening and the reply goes out in the morning. Meanwhile the customer calls two other agencies and books a viewing with the first to respond.
An apartment inquiry arrives at 9:40 p.m. and the agent replies at 9:15 the next morning. Meanwhile the customer contacts two other agencies and books a viewing with the first to respond.
An agent reads every inquiry and tries to work out whether the customer is ready to buy or just looking. Without a scoring system they end up in the same pile as rental inquiries and long-sold listings.
The asking price comes from comparing a few listings and remembering how recent deals went. With many listings the analysis is shallow and the time for it limited.
Floor area, floor, fees, year built, parking, the same questions return with every inquiry. Agents answer them by hand instead of doing viewings and negotiations.
The owner wants to know how many people viewed the listing, how many inquiries came in, and what viewers said. The data has to be gathered from the system, email and personal notes, which takes hours.
We connect to portals, CRM and the inbox. The system answers an inquiry in seconds, collects customer data and passes agents only the contacts that are worth something.
The system answers a portal inquiry in seconds, whatever the hour. First contact belongs to your agency, not to a competitor who happens to be at their desk.
Budget, location, timeline and purchase purpose are pulled from the conversation. Inquiries reach agents sorted by readiness to decide, not by arrival order.
The model compares listings, past transactions and property features, and returns a range with a rationale. The agent gets a starting point for the conversation with the owner.
We connect to listing portals, CRM and the inbox. We do not replace the tools the team already uses and do not change how agents work.
Viewing statistics, inquiry counts and viewing feedback land in a report with no manual collection. The owner gets specifics, not a vague assurance that something is happening.
Contacts that did not decide immediately return to the conversation weeks later. The system reminds about them at the right moment, instead of letting them vanish into the inbox.
See how response time, lost inquiries, valuation time and admin work change after automation.
Illustrative chart. Shows the direction of change, not specific values from deployments.
Four stages from the inquiry audit to automatic owner reports. No interruption to the office and no CRM change.
Real estate automation works on three levels: inquiries handled faster, more agent time for selling, and better communication with property owners.
A reply in seconds means the customer talks to your agency first. In cities with dense competition, that is often the difference between a viewing and silence.
Repetitive questions and data entry move to the system. The agent focuses on viewings, negotiations and signing contracts, what actually earns commission.
The customer gets an immediate answer, with property details and a suggested time. They do not have to wait or ask again about the same thing they already wrote in the inquiry.
The owner sees how many people viewed the listing, how many inquiries came and what viewers said. It is then easier to discuss a price adjustment and what else can be improved.
Customers who postponed a decision return to the conversation at the right moment. The system reminds about them instead of letting them disappear into the inbox archive.
Inquiry and conversion data show where customers really come from. Decisions about ad budgets and work allocation stop being based on impressions.
Concrete use cases at sales and rental agencies and developers, from handling portal inquiries to automatic valuation and reports.
A reply in seconds, qualifying questions and a CRM entry. The agent gets a contact with budget, location and timeline described, instead of starting the conversation from scratch.
The model compares similar listings, past transactions and property features. The result is a range with a rationale, ready for the price conversation with the owner.
A customer asks about a listing at any hour and gets a concrete answer with a property link. Night-time inquiries do not wait until morning or go to a competitor.
Views, inquiry count and viewing feedback in one summary. A ready document to send, with no manual data collection from several places.
Customers who postponed a decision return to the conversation at the right moment. The system reminds about them when a listing close to their expectations appears.
The system separates customers ready to decide from those still looking. Agents start the day with conversations that have a real chance of a deal.
Yes. We connect to listing portals, your CRM system and the inbox. We do not replace the tools the team already uses and do not change how agents work. If your CRM exposes an API or data export, integration is usually a matter of a few business days, not weeks.
No, and it should not. The model gives a range with a rationale, which is a starting point for talking with the property owner. The agent's knowledge of the local market, of a specific building or how long a property has been listed, remains key. Automation speeds analysis; it does not make pricing decisions.
Faster inquiry replies and organized contacts usually show within two to three weeks of connecting portals and the inbox. Automatic valuation and owner reports need more time to gather historical data, so a full implementation usually wraps up within two months, with no interruption to the office.
Yes, though the scale of benefit grows with the number of listings and inquiries. With two agents, automation usually pays for itself on response time alone, because evening and weekend inquiries stop waiting until Monday. In small agencies the value can be even greater, because every lost hour of agent work hurts more than in a large organization.
Data remains your property and is processed only to run inquiry handling and reports. We do not sell it or share it with third parties. Processing scope, storage and retention are agreed in a data processing agreement under GDPR.
No. The system works in the background and agents get contacts in the form they are used to, usually in the CRM or a short notification. If you want to change how data is presented or the report scope, we do it on request, with no code written by your staff.
Book a free consultation and find out how AI can help.