AI-Driven Commercial Real Estate Site Discovery - Automating hours of manual research into minutes of intelligent analysis
Industry
Timeline
Engineers
Pipeline Nodes
The Challenge
Traditional site research methods are inefficient, error-prone, and lack the automation that modern commercial real estate professionals need.
Analysts spend 6-8 hours per day manually searching across LoopNet, CBRE, JLL, and local broker websites with no integration or automation
Property information scattered across 5+ sources with missing contact details, broker information, and geographic data that requires manual consolidation
Addresses, square footage, property attributes, and contact details lack systematic verification, leading to 30%+ data inaccuracy rates
Manual processes create response delays, duplicate efforts, and significant property discovery gaps that competitors find through automation
The Real Cost of Manual Operations
Our Approach
An intelligent sequential pipeline that automates commercial real estate research from initial discovery through final qualification.
Intelligently extracts property details, broker contacts (name, title, email, phone), and rental information from research findings.
Verifies address accuracy using Google Geocoding API and enriches data with GPS coordinates and CBSA information.
Analyzes aerial and street-view imagery to verify property attributes like square footage, asset type, and premises classification.
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Sequential workflow with specialized processing at each stage
∞
Extensible architecture supporting new data sources
100%
Multi-stage QA with verification and validation
Architecture
Click on any node to explore its role and data flow
Global Config
Geography Input
Deep Research
Site Extraction
Geocode
Site Attribute Analysis
Join
Filter
QA Node
Excel Output
Workflow Log
Capabilities
A comprehensive suite of AI-powered tools to automate commercial real estate site discovery and qualification.
Searches across LoopNet, CBRE, JLL, Brixmor, and local broker websites automatically, discovering properties missed by manual searching.
Extracts complete broker information including name, title, company, direct email, and phone numbers for immediate outreach.
Validates addresses and enriches with GPS coordinates, CBSA codes, and metropolitan area data for accurate location intelligence.
Analyzes aerial and street view imagery to verify property attributes, square footage, and premises classification.
User-configurable qualification criteria with data legitimacy, recency, and criteria matching for transparent decision making.
Google Sheets integration logs all workflow executions for tracking, debugging, and maintaining an audit trail.
Built With
Enterprise-grade technologies powering scalable, intelligent multi-agent systems.
FastAPI
Python
Google Sheets
CrewAI
LangChain
OpenAI GPT-4o
OpenAI GPT-5.2
Gemini Vision API
11-node data enrichment pipeline processing sites through multiple AI-powered stages for comprehensive analysis.
Integrates Google APIs, AI research, computer vision, and geocoding services into unified workflow.
Google Sheets integration for workflow monitoring, execution tracking, and audit trails.
We design and build multi-agent AI systems tailored to your unique business needs. From architecture to deployment, we handle it all.
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