SysaiQ
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[ SYSAIQ—WORK / REALESTATE ]

Real-Estate Agency CRM

Every listing, buyer and deal in one intelligent workspace.

CRM · AI MATCHING · MAP

Real-Estate Agency CRM UI
Category
AI & automation
Related service
AI agents and chatbots
Target industries
4 industries
Languages
فارسی · English

Overview

A purpose-built CRM for real-estate agencies that unifies property listings, buyer pipelines and deal analytics in a single system. It replaces scattered spreadsheets and messaging threads with a shared source of truth, so every agent knows which client fits which property and where every deal stands.

PROBLEM

The problem

In most agencies the listings live in one place, the buyers in another and the deals in an agent's head. A good match is found by memory, a viewing is booked by phone and the pipeline value is a guess at the end of the month.

  • New listings are not compared against active buyers in time.
  • Leads go cold because no one owns the follow-up.
  • Managers cannot see which deals are genuinely likely to close.

SOLUTION

The solution

SysaiQ built the CRM around one record per property, one per buyer and one per deal, all linked. A matching engine scores every new listing against the active buyers by budget, location and stated preferences and surfaces the top candidates the moment a property goes live.

  • The buyer pipeline is a kanban with deal value on every card; stage changes update the forecast immediately.
  • Each property sits on an interactive map with neighbourhood price context, so agents pitch with data.
  • Viewings are booked from the listing itself and appear on the buyer timeline, the agent calendar and the deal record.

OUTCOME

The outcome

The agency can now introduce the right property to the right buyer as soon as it is listed, instead of relying on whoever remembers. Follow-ups have an owner and a date, viewings no longer collide, and management reads pipeline value from live stages rather than from a monthly estimate.

What makes it different

Capabilities you won't usually find in similar products

[ 01 ]

Buyer-to-property matching

Each new listing is scored against active buyers by budget, location and preferences; the top matches reach the agent the moment the property goes live.

[ 02 ]

Live deal-value forecast

Pipeline analytics weight each deal by stage and the agency's own close history to project expected commission for the month and quarter.

[ 03 ]

Map-first listings

Every property sits on an interactive map layered with neighbourhood price trends and comparable sales in the same view.

[ 04 ]

Integrated viewing scheduler

Bookings, agent availability and automated client reminders live inside the CRM, so a viewing updates the buyer timeline and the deal record at once.

Pages and screens

  1. [ 01 ]
    Listings Gallery
    Browse and filter every property with photos, price and status, as a grid or on the map.
  2. [ 02 ]
    Buyer Pipeline
    A drag-and-drop board from lead to closed, with deal value on every card.
  3. [ 03 ]
    Property Detail
    Full listing with photo gallery, map location, area price trend and matched buyers side by side.
  4. [ 04 ]
    Analytics Dashboard
    Deal-value forecasts, conversion by stage and agent performance for the month and quarter.
  5. [ 05 ]
    Viewing Scheduler
    Booked viewings tied to listings and agents, with automated reminders sent to clients.

Technical approach

  • Node.js / Express API with linked property, buyer and deal records and an audit trail on stage changes.
  • SQLite with spatial and price indexes for the map view and the comparable-sales lookups.
  • Vanilla JavaScript front end: the map, the kanban pipeline and the calendar are one application sharing a live feed.
  • OpenAI API in the matching engine: structured filters (budget, area, rooms) run in SQL first; preference text is compared through embeddings to rank the remaining candidates.
  • Automated client reminders sent through the configured SMS provider.

Target industries

Residential real-estate brokeragesCommercial property agenciesHigh-end estate firmsDevelopers with an in-house sales team

Related service

AI agents and chatbotsAbout this service

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