CASE STUDY DETAILS

TenantHub

AI-Powered PropTech Platform

ragmented Tenant & Property Management Operations

Real Estate / Property Management / PropTech / Artificial Intelligence

AI-Powered Rental Operations, Predictive Insights & Centralized Property Management

OVERVIEW

PROBLEM STATEMENT

The objective was to build a comprehensive, AI-powered PropTech management platform capable of monitoring property portfolios in real time while automating lease lifecycles, rent tracking, maintenance workflows, and predictive analytics.

  • Poor visibility into property unit vacancies and occupancy rates.
  • Manual rent collection and tedious tracking of overdue payment records.
  • Delayed maintenance request handling leading to tenant dissatisfaction and property degradation.
  • Disorganized paper-based lease agreements and document management.
  • Lack of predictive insights for rental pricing and lease renewal forecasting.
  • Fragmented communications between Landlords, Property Managers, and Tenants.
  • Time-consuming manual report generation and financial auditing.
  • Limited utilization of Artificial Intelligence in rental yield optimization.

SOLUTIONS

  • Real-time property portfolio tracking across multi-family apartments, commercial spaces, and residential complexes.
  • Comprehensive unit inventory management with vacancy, occupancy, reservation, and maintenance status tracking.
  • Dynamic unit assignment, amenity management, and floor plan details.
  • Historical occupancy analytics and vacancy rate forecasting.
  • Multi-channel rent payment tracking with receipt generation and audit trails.
  • Automatic payment status classification (Paid, Pending, Overdue, Failed).
  • Monthly revenue aggregation, pending balance calculation, and financial summary widgets.
  • Automated rent reminders and overdue penalty tracking.
  • Real-time tenant maintenance ticketing system with priority levels (Low, Medium, High, Emergency).
  • Automated technician and staff assignment based on category (Plumbing, Electrical, HVAC, Carpentry).
  • Interactive comment thread for real-time communication between tenants and maintenance staff.
  • Issue resolution workflow tracking with status transitions (Open, In Progress, Completed, Cancelled).
  • Rent Price Prediction: ML-based forecasting for optimal unit rental pricing based on location, market trends, and property amenities.
  • Lease Renewal & Churn Intelligence: Predictive models forecasting tenant renewal probabilities and early vacancy risks.
  • Maintenance Severity & Auto-Routing: AI natural language analysis of maintenance complaints for priority scoring and automated staff routing.
  • End-to-end lease lifecycle management (active, pending, expired, renewed, terminated).
  • Automated lease agreement creation, rent amount computation, and deposit tracking.
  • Digital tenant onboarding with secure user profiles and emergency contacts.
  • Expiration alert notifications (30/60/90 days prior to lease end).
  • Configured Bill of Materials (BOM).
  • Established routing requirements.
  • Aligned warehouse activities with manufacturing processes.
  • Improved coordination between warehouse and production teams.
  • Centralized digital document vault for lease agreements, ID proofs, inspection reports, and receipts.
  • Secure Active Storage file management with permission-restricted download links.
  • Document category tagging and audit trails.
  • Example queries:
  • “How many units are currently vacant?”
  • “Show all overdue rent payments for this month.”
  • “Which properties have pending maintenance requests?”
  • “Predict rent pricing for 2-bedroom units.”
  • “Summarize overall monthly revenue.”

APPROACH

SUCCESS AND IMPACT
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