68 Circular Road, #02-01, Singapore 049422 [email protected] Global Enterprise Engineering
Real Estate & PropTech CRM Development ● 8 Weeks Timeline

PropTech AI Lead Scoring & Custom CRM

Client: Vanguard Horizon Properties
< 30 Sec Response Speed
+42% Deal Conversion
$140M+ Active Pipeline

Challenge & Objectives: Vanguard Horizon Properties

Vanguard lost 40% of inbound buyer leads due to delayed manual follow-ups and unorganized spreadsheet pipelines.

⚑ Engineering Solution for Vanguard Horizon Properties

In this comprehensive engineering case study, Nexura built a multi-tenant custom CRM with AI lead intent scoring, visual drag-and-drop pipelines, and auto-sync WhatsApp messaging, delivering modern bespoke CRM development for high-velocity brokerage teams.

πŸ’» Technology Stack Employed:
Laravel Vue.js PostgreSQL Redis OpenAI API
Case Study Q&A

Project Q&A: Real Estate AI CRM & Automation Platform

How did the custom CRM achieve sub-30-second lead response times?

We engineered an event-driven webhook pipeline connecting Meta Ads and portal webhooks directly to a Redis queue. An AI intent classifier scores the lead, parses property requirements, and triggers an automated, personalized WhatsApp/SMS conversation in seconds.

How did this platform replace Salesforce while saving software licensing costs?

By eliminating per-seat monthly license fees of $150 to $300 per agent, Vanguard Properties achieved zero recurring SaaS overhead for its expanding brokerage team while building proprietary workflow automation tailored to residential real estate sales.

How was historical lead and transaction data migrated without data loss?

We deployed an automated ETL pipeline that sanitized, de-duplicated, and mapped over 140,000 legacy CRM contacts, transaction records, and communication logs with zero operational downtime for agents.

What technologies power the real estate CRM architecture?

The platform is built on Next.js, Node.js, and PostgreSQL, leveraging OpenAPI standard specifications for external MLS/RETS data feeds and WhatsApp Business Cloud APIs.

Does Vanguard Properties own all client records and transaction data?

Yes. The brokerage owns 100% of the database and source code, deployed entirely in their private cloud infrastructure with total data isolation.

Need Similar Results for Your Vanguard Horizon Properties Platform? Our senior technical architects will engineer a custom proposal tailored to your proptech ai lead scoring & custom crm objectives.
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Real Estate & PropTech Implementation Q&A

Project Q&A: Real Estate AI CRM & Automation Platform

How did the custom CRM achieve sub-30-second lead response times?

We engineered an event-driven webhook pipeline connecting Meta Ads and portal webhooks directly to a Redis queue. An AI intent classifier scores the lead, parses property requirements, and triggers an automated, personalized WhatsApp/SMS conversation in seconds.

How did this platform replace Salesforce while saving software licensing costs?

By eliminating per-seat monthly license fees of $150 to $300 per agent, Vanguard Properties achieved zero recurring SaaS overhead for its expanding brokerage team while building proprietary workflow automation tailored to residential real estate sales.

How was historical lead and transaction data migrated without data loss?

We deployed an automated ETL pipeline that sanitized, de-duplicated, and mapped over 140,000 legacy CRM contacts, transaction records, and communication logs with zero operational downtime for agents.

What technologies power the real estate CRM architecture?

The platform is built on Next.js, Node.js, and PostgreSQL, leveraging OpenAPI standard specifications for external MLS/RETS data feeds and WhatsApp Business Cloud APIs.

Does Vanguard Properties own all client records and transaction data?

Yes. The brokerage owns 100% of the database and source code, deployed entirely in their private cloud infrastructure with total data isolation.

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