Real Estate CRM Platform with Custom Land Mapping is a case study about a connected system where the team combined leads, clients, properties, deals, showings, documents, analytics, and workflow automation in one interface. A distinctive part of the project was a custom mapping module for selling land plots and houses.
This project is presented in a generalized form. Some details and identifying elements are intentionally omitted due to confidentiality requirements and NDA restrictions.
Real estate CRM from lead workflows to visual land sales
The business needed more than a basic lead database. It required one working environment where leads from multiple channels, clients, properties, deals, showings, documents, analytics, and internal team workflows could all be connected.
A separate challenge was land and house sales. For that reason, the platform needed not only standard property records, but also a custom visual layer where land plots could be selected and managed directly on a map.
Project Context
The real estate agency needed a CRM platform where leads, clients, properties, and deals could be managed in one interface without losing interaction history, statuses, documents, showings, and operational tasks.
At the same time, the system had to support not only standard property sales, but also a separate workflow for land plots, where selection and sales logic were tied to a custom map rather than only to record lists.
What Was Delivered
CRM for Leads, Clients, and Deals
The platform included a connected CRM layer for managing leads, clients, and deals. It gathered incoming requests from multiple channels and supported the sales funnel from first contact to deal completion.
- lead capture from website, phone, email, messengers, and manual input;
- client profiles with full interaction history;
- sales funnel by deal stage;
- lead and deal statuses;
- comments, notes, and action history;
- follow-up and reminders for leads and deals.
Property Database
A dedicated property layer handled real estate records and matching workflows. The system made it possible to maintain property data, connect properties to clients, and match listings against customer requirements.
- property database with structured parameters;
- linking properties to clients;
- property matching for client requests;
- property filters;
- property records and statuses;
- photos and related files.
Calendars, Showings, and Agency Workflows
The platform included calendar-based workflows for agency operations: showings, meetings, tasks, reminders, and other everyday processes connected to leads, properties, and deals.
- showing calendar;
- meeting calendar;
- task calendar;
- reminders and follow-up;
- control over day-to-day team workflows.
Custom Land Mapping
One of the strongest parts of the project was a custom mapping module for selling land plots and houses. This was not a standard external map integration, but a dedicated visual layer inside the platform.
- map zooming and navigation;
- polygon-based plot visualization;
- clickable land plots;
- plot cards and plot details;
- color-based status highlighting;
- visual indication of sold and available plots;
- administrative control over mapped territories.
Analytics and Reporting
A dedicated analytics layer handled leads, sources, agents, and conversion data. Reports and metrics were important for understanding sales effectiveness and lead processing speed.
- lead reports;
- source analytics;
- agent analytics;
- deal conversion analysis;
- processing speed metrics;
- efficiency indicators and action history.
Automation and Internal Workflows
The platform also automated routine internal workflows, including reminders, follow-up steps, notifications, and other repetitive lead and deal-related operations.
Technology Architecture
The platform was built on a microservice architecture using Go for backend logic and Vue.js for user-facing interfaces. It included a CRM layer, a property management layer, an analytics layer, a mapping module, and admin workflows with role-based access control.
- Go, Vue.js;
- Kubernetes, GitLab CI/CD;
- Redis, RabbitMQ;
- ClickHouse for analytics;
- S3-compatible object storage;
- Prometheus, Grafana, and Loki.
How Redis, RabbitMQ, and ClickHouse Were Used
Redis served as a cache layer for faster CRM workflows, records, filters, and frequently accessed data. RabbitMQ handled background jobs, notifications, follow-up automation, and asynchronous internal events.
ClickHouse was used for analytics, reports, conversion metrics, lead processing speed, agent performance indicators, and other aggregated business data.
Roles, Access, and File Storage
The platform supported role-based access for the agency team. Permissions were applied across CRM workflows, properties, deals, documents, and administrative scenarios.
Photos, files, and related materials for properties and deals were stored in a centralized S3-compatible storage layer, supporting consistent access and controlled file workflows across the platform.
Business Value
For the business, the platform became more than a CRM. It provided one digital environment for real estate sales, property handling, deal coordination, and internal agency workflows.
- one connected CRM layer for leads, clients, properties, and deals;
- better visibility into the sales funnel;
- less manual follow-up and task coordination;
- more efficient property matching for client requests;
- centralized storage of documents and related materials;
- clearer analytics for leads, sources, agents, and conversion;
- a visual sales tool for land plots;
- more manageable day-to-day agency operations.
Result
Instead of relying on disconnected spreadsheets, property records, and manual coordination, the agency gained a connected CRM platform with leads, properties, deals, analytics, calendars, documents, and custom land mapping. This created a stable digital foundation for real estate sales, internal coordination, and future product development.
