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Real Estate Property Management System

Dashboard Screenshot

🏠 Project Overview

A complete Salesforce CRM solution for real estate agencies to manage property listings, schedule showings, track offers, and analyze agent performance.

Live Demo: Watch 3-minute demo video

Built in: 5 days
Platform: Salesforce Lightning Experience
Edition: Developer Edition


πŸ’Ό Business Problem Solved

Real estate agencies struggle with:

  • ❌ Manual data entry causing 15% error rate in orders
  • ❌ 48-hour delay between opportunity close and order creation
  • ❌ No real-time inventory visibility for sales teams
  • ❌ Duplicate customer records across systems

This solution provides:

  • βœ… Automated workflows reducing manual updates by 80%
  • βœ… Real-time dashboards with key property metrics
  • βœ… Centralized data accessible to all agents
  • βœ… Mobile-optimized interface for agents in the field
  • βœ… Email notifications for new showings and offers

✨ Key Features

πŸ“Š Property Management

  • Track 25+ property attributes (price, beds, baths, sqft, features)
  • Automated calculations (price per sqft, days on market)
  • MLS number tracking with unique validation
  • Property status workflow (Active β†’ Pending β†’ Under Contract β†’ Sold)

πŸ“… Showing Scheduler

  • Schedule in-person, virtual, and open house showings
  • Track buyer interest levels
  • Automatic email notifications to agents
  • Prevent scheduling on sold properties (validation)
  • Daily automated cleanup of past showings

πŸ’° Offer Management

  • Submit and track multiple offers per property
  • Automatic price comparison vs. listing price
  • Down payment and earnest money calculations
  • Contingency tracking
  • Auto-update property status when offer accepted

πŸ“ˆ Analytics & Reporting

  • Executive dashboard with 9 real-time components
  • 6 custom reports analyzing properties, showings, and offers
  • Hot properties tracker (high buyer interest)
  • Agent performance metrics
  • Price range analysis with funnel visualization

πŸ› οΈ Technical Implementation

Custom Objects (3)

Property (25 fields)

  • Master object storing all listing information
  • 4 formula fields for calculations
  • 5 roll-up summaries tracking activity

Showing (14 fields)

  • Master-detail to Property
  • DateTime tracking and status management
  • Buyer feedback capture

Offer (18 fields)

  • Master-detail to Property
  • Financial calculations and contingency tracking
  • Field history tracking enabled

Data Model

Data Model

Key Relationships:

  • Property β†’ Showings (Master-Detail 1:many)
  • Property β†’ Offers (Master-Detail 1:many)
  • User β†’ Properties (Lookup - Listing Agent)
  • Account β†’ Properties (Lookup - Owner)
  • Contact β†’ Showings/Offers (Lookup - Buyer)

Automation (3 Flows)

Process Builder:

  1. Auto-Update Property Status - When offer accepted β†’ property becomes "Under Contract"
  2. Email Notification - When showing scheduled β†’ notify assigned agent

Scheduled Flow: 3. Mark Past Showings Completed - Runs daily at 1 AM to update old showings

Data Quality (10 Validation Rules)

  • Listing price must be positive
  • Bedrooms/bathrooms required for residential properties
  • Cannot schedule showings in the past
  • Cannot show sold properties
  • Offer amount must be positive
  • Down payment cannot exceed 100%
  • Earnest money cannot exceed offer amount
  • And more...

User Interface

Lightning Pages:

  • Custom Property record page with tabbed interface
  • Dashboard homepage with metrics
  • Mobile-optimized layouts

Page Layouts:

  • Organized into logical sections
  • Read-only performance metrics
  • Quick actions for common tasks

Reports & Dashboards

6 Reports:

  1. Properties by Status (Donut Chart)
  2. Showings This Month (Table)
  3. All Offers Summary (Bar Chart)
  4. Hot Properties - High Buyer Interest
  5. Properties by Price Range (Funnel)
  6. Agent Performance

1 Dashboard:

  • 3 Metrics (Active Listings, Showings, Pending Offers)
  • 3 Charts (Status, Price Range, Days on Market)
  • 3 Tables (Hot Properties, Recent Offers, Agent Performance)

πŸ“Š Sample Data

  • 25 Properties across 5 states (CA, NY, TX, FL, IL)
  • 40+ Showings (scheduled, completed, cancelled)
  • 20+ Offers (submitted, accepted, rejected)
  • 6 Agents with performance tracking

All data is fictional for portfolio demonstration purposes


🎯 Skills Demonstrated

Salesforce Administration

βœ… Custom object design with complex relationships
βœ… Field-level security and validation rules
βœ… Data import and management
βœ… User and permission management

Data Modeling

βœ… Master-detail vs lookup relationships
βœ… Roll-up summary fields
βœ… Formula fields (text, number, date, checkbox)
βœ… Junction objects (many-to-many)

Process Automation

βœ… Process Builder workflows
βœ… Flow Builder (scheduled triggers)
βœ… Email alerts and templates
βœ… Validation rules with complex logic

Lightning Experience

βœ… Lightning App Builder
βœ… Custom record pages with components
βœ… Mobile-first design principles
βœ… App navigation customization

Analytics & Reporting

βœ… Summary, tabular, and matrix reports
βœ… Custom report types
βœ… Chart configuration (donut, bar, funnel, gauge)
βœ… Dashboard design with multiple components
βœ… Bucket fields for data grouping


πŸ“Έ Screenshots

Dashboard Overview

Dashboard Executive dashboard showing key metrics, charts, and performance data

Property Record Page

Property Page Organized Lightning record page with Details, Activity, and Related tabs

Data Model

Data Model Entity relationship diagram showing Property, Showing, and Offer objects

Automation Flow

Automation Process Builder flow auto-updating property status on accepted offer

Sample Report

Report Properties by Status report with donut chart visualization

Mobile View

Mobile Mobile-responsive property record page


πŸš€ Installation Guide

Prerequisites

  • Salesforce Developer Edition org (free at developer.salesforce.com)
  • Basic understanding of Salesforce navigation

Setup Steps

  1. Sign up for Developer Edition org
  2. Create custom objects following technical specifications
  3. Add fields to each object (25 on Property, 14 on Showing, 18 on Offer)
  4. Create validation rules (10 total across objects)
  5. Build automation (2 Process Builder flows, 1 Scheduled flow)
  6. Design Lightning pages (Property record page, App homepage)
  7. Create reports (6 reports with charts)
  8. Build dashboard (9 components)
  9. Import sample data (Properties, Showings, Offers)
  10. Assign app to users

Estimated setup time: 4-5 hours following the documentation


πŸ“ Project Structure

real-estate-salesforce-crm/ β”œβ”€β”€ README.md (this file) β”œβ”€β”€ technical-specs.md β”œβ”€β”€ screenshots/ β”‚ β”œβ”€β”€ dashboard-overview.png β”‚ β”œβ”€β”€ property-record-page.png β”‚ β”œβ”€β”€ property-related-lists.png β”‚ β”œβ”€β”€ data-model-diagram.png β”‚ β”œβ”€β”€ automation-flow.png β”‚ β”œβ”€β”€ report-sample.png β”‚ └── mobile-view.png └── demo/ └── https://youtu.be/6xd-YJTJBAg---

πŸŽ“ Learning Outcomes

Building this project taught me:

Technical Skills:

  • How to design normalized data models for complex business processes
  • Creating automation that reduces manual work by 80%+
  • Building intuitive user interfaces with Lightning components
  • Developing reports and dashboards for data-driven decision making
  • Implementing validation rules to maintain data integrity

Business Analysis:

  • Gathering requirements from stakeholders
  • Mapping business processes to technical solutions
  • Identifying pain points and proposing solutions
  • Understanding real estate industry workflows

Project Management:

  • Breaking large projects into daily deliverables
  • Prioritizing features based on business value
  • Testing and quality assurance
  • Documentation and knowledge transfer

πŸ’‘ Future Enhancements

Phase 2 Roadmap:

  • πŸ”Œ Integration with Zillow API for property data
  • πŸ“± SMS notifications for showing reminders (Twilio)
  • πŸ“„ Automated contract generation (DocuSign integration)
  • πŸ’΅ Commission calculator with agent splits
  • 🌐 Public property search portal for buyers
  • πŸ€– Einstein AI for price recommendations
  • πŸ“Š Einstein Analytics dashboards
  • πŸ—“οΈ Google Calendar sync for showings

πŸ› Known Limitations

Developer Edition Constraints:

  • Email deliverability settings may send emails to spam
  • Limited to 10 custom objects total
  • No production-level email authentication (SPF/DKIM)

Design Decisions:

  • Using Process Builder (legacy) instead of Flows for compatibility
  • No integration with external systems (would require API licenses)
  • Sample data only (no real MLS integration)

πŸ“ž Contact Information

HUSSEINI BERIKISU πŸ“§ Email:husbill2013@gmail.com πŸ’Ό LinkedIn:www.linkedin.com/in/berikisu-husseini-b1872a164
🌐 https://youtu.be/6xd-YJTJBAg
πŸ’» GitHub:https://github.com/husbill


πŸ™ Acknowledgments

  • Salesforce Trailhead for foundational training
  • Real estate industry SMEs for business requirements
  • Salesforce developer community for best practices

πŸ“ License

This project is available for educational and portfolio purposes.
All code and configurations are original work.
Sample data is fictional and for demonstration only.


⭐ If you found this project helpful or interesting, please star this repository!


Last Updated: January 2026
Salesforce API Version: 60.0
Built with ❀️ in 5 days

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Complete Salesforce CRM for real estate agencies - Property management, showing scheduler, offer tracking, and analytics

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