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Real Estate Production System

Coldwell Banker Indonesia

Real Estate CRM and Listing Platform

Coldwell Banker Indonesia
15+
Active Agents
99.5%
System Uptime
3→1
Systems Consolidated
3 months
Timeline

Executive Summary

We built a role-based CRM and property listing platform for 15+ agents. It replaced spreadsheets, CMS, and CRM tools. Write-heavy admin work runs separately from read-heavy public traffic. The platform supports commercial and residential brokerage in Indonesia with 99.5% uptime.

The Problem

Coldwell Banker Indonesia ran 15+ Greater Jakarta agents on spreadsheets, a CMS, and an external CRM. Consolidation required a complex property model, media workflows for images, videos, PDFs, and watermarks, and low-latency multidimensional search. The team also had to balance normalized data against read-heavy queries within three months.

15+
Active Agents
3
Fragmented Tools
3 months
Timeline
Services Delivered
Dedicated Team

Real Estate CRM and Listing Platform

Architecture Overview

Data Layer
PostgreSQL Redis
Backend & Orchestration
Laravel Inertia.js
Frontend
Next.js (SSG)
Infrastructure
DigitalOcean Docker

Key Technical Decisions

System Design

Admin and public traffic are split and optimized independently. Laravel and a repository pattern hold domain logic. Inertia.js with React powers the admin interface without a separate API layer. Next.js SSG serves fast, SEO-ready listings. PostgreSQL uses targeted indexes, while Redis provides caching and shared state.

Key Decisions

Inertia.js balanced admin delivery speed with modern UX. Redis filled its global-state gap. Next.js SSG improved public performance and SEO, but needed manual optimization outside Vercel. Search fields were denormalized to trade extra writes for low-latency filtering.

Implementation Highlights

Application and Redis caching reduce listing-endpoint load. Denormalized tables filter location, price, type, and facilities without expensive joins. Background queues handle email, exports, and media processing, including watermarking. Indexes follow property search patterns. The admin interface is mobile-first for field agents.

Results & Validation

Achieved 99.5% uptime for the 15+ agent deployment.

Consolidated spreadsheets, CMS, and external CRM into one platform.

Centralized listings, client data, and media workflows.

Lowered backend infrastructure needs through multi-layer caching.

Delivered an operational system within three months.

Key Insights

Real estate search performance starts with data modeling. Precomputed search fields beat heavily optimized relational queries for multidimensional filtering.

Inertia.js speeds admin delivery but needs Redis when global state spans requests.

Separating write-heavy and read-heavy traffic lets each layer be optimized.

Media workflows need background queues. Synchronous image, watermark, and PDF work blocks users at scale.

Next.js can run outside Vercel with SSG and CDN configuration. That route requires explicit optimization.

Who This Applies To

Applicable to brokerages with many listings and agents, businesses consolidating operational tools, and search-heavy products that need fast public performance on cost-efficient infrastructure.

Real Estate CRM & Operations Search-Heavy Systems Media Workflows System Consolidation

Technologies Used

Backend

Laravel Inertia.js

Frontend

Next.js

Infrastructure

DigitalOcean Docker

Data & Integrations

PostgreSQL Redis

Patterns & Techniques

Repository Pattern SSG Denormalization Background Jobs Role-Based Access Image Watermarking

Tools

GitHub

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