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Development

Property Intelligence at Scale

Transformed fragmented real-estate data into actionable deal flow with large-scale automation, AI enrichment, and seamless Salesforce integration.

10k+
Properties Processed Daily
87%
Lead Qualification Accuracy
65%
Time to Market Reduction

The Challenge

Real estate firms struggle with fragmented data sources, manual property research, and slow qualification processes. The challenge was building an automated system that could acquire, normalize, enrich, and activate property intelligence at scale while maintaining high accuracy.

Solution

The solution delivered an AI-driven PropTech platform combining UiPath automation for data acquisition, ML models for enrichment and scoring, and Salesforce integration for CRM activation—all running on GCP with elastic scaling.

The Impact

The platform processes 10,000+ properties daily, achieves 87% lead qualification accuracy, reduced time-to-market by 65%, and generated a 3.2x increase in qualified pipeline.

Key Challenges

1

Resilient web scraping without IP blocks

2

Entity resolution for properties and owners

3

OCR and NLP accuracy under varied formats

4

Explainable AI for analyst trust

5

Real-time Salesforce sync with data integrity

6

Low-latency geospatial analytics

Our Solutions

Automated Data Acquisition

UiPath-powered scraping with intelligent rotation and delta detection.

  • Orchestrated robots with proxy rotation
  • Delta detection (etag/hash)
  • Fingerprinting defenses
  • Legal compliance (robots.txt)
Property Acquisition System

AI Enrichment Engine

Multi-model pipeline for property understanding and description generation.

  • Image-to-text for listing descriptions
  • OCR + NLP for document extraction
  • Amenity and condition detection
  • Explainable evidence citations
AI Enrichment Engine

Entity Resolution & Normalization

Sophisticated matching and deduplication with geospatial intelligence.

  • Address parser + geocoder
  • Fuzzy matching with conflict resolution
  • Deduplication with provenance tracking
  • Neighborhood analytics
Market Analytics Dashboard

CRM Activation

Bi-directional Salesforce sync with intelligent field mapping and dashboards.

  • Lead/opportunity auto-creation
  • Field mapping with validation
  • Status sync and pipeline tracking
  • Win/loss analytics
Salesforce CRM Integration

System Architecture

Cloud-native architecture on GCP with elastic scaling and comprehensive observability

Frontend & API

React investigative console

FastAPI backend services

API Gateway with WAF

Split-view comparisons

Services

Ingestion Orchestrator

Normalization/Resolver

AI Services (image2text, OCR, NLP)

Analytics Engine

Salesforce Connector

Automation & AI

UiPath Orchestrator + Robots

ML models (image, document)

Ranking algorithms

Recommendation engine

Data Platform (GCP)

Cloud SQL (PostgreSQL)

BigQuery (analytics, trends)

Cloud Storage (media, PDFs)

Pub/Sub (event streaming)

GKE (service orchestration)

Data Flow Architecture

Client Layer

User Interface

API Layer

Business Logic

Data Layer

Persistence

99.9% Uptime SLA
Sub-250ms API Latency
Horizontal Scalability

Measurable Outcomes

Daily Processing

Before
500 manual
After
10,000+
20x increase

Lead Qualification

Before
52% manual
After
87% AI
35% improvement

Time to Market

Before
14 days
After
5 days
65% reduction

Pipeline Growth

Before
Baseline
After
+3.2x
Qualified deals

Data Accuracy

Before
74%
After
94%
20% increase

Research Cost

Before
$125/property
After
$12/property
90% reduction

Technologies Used

FastAPIReactPostgreSQLBigQueryUiPathGCPKubernetesSalesforceML/AIDocker

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