Propenu — AI-Powered Property Management
A comprehensive property management and real estate marketplace platform with AI-powered property valuations, immersive virtual tours, automated tenant management, and data-driven market insights.
1. Project Overview
Client
Propenu
Industry
Real Estate / PropTech
Timeline
7 Months
Platform
Web + Mobile
Team Size
9 Members
Role
Full-stack Development + AI
Propenu is a real estate technology platform that connects property owners, tenants, buyers, and agents on a single unified marketplace. The platform offers AI-powered property valuations, immersive 3D virtual tours, automated tenant lifecycle management, rent collection, maintenance ticketing, and data-driven market analytics. Lobhari Technologies partnered with Propenu to architect and build the end-to-end platform from the ground up.
2. Industry Background
India's real estate market is projected to reach $1 trillion by 2030, driven by urbanization, rising incomes, and favorable demographics. However, the industry remains fragmented — property owners struggle with tenant management, buyers lack transparent pricing data, and agents rely on outdated tools.
Proptech platforms are bridging these gaps by digitizing the entire property lifecycle — from discovery and valuation to leasing, management, and sale. Propenu was conceived as an all-in-one platform that serves all stakeholders in the real estate ecosystem with intelligence and automation.
3. Business Challenges
Diverse Stakeholder Requirements
Property owners, tenants, buyers, and agents each have distinct needs — from rent collection to property discovery — all within a single platform.
AI-Powered Valuation Accuracy
Delivering reliable property valuations required integrating multiple data sources — historical transactions, location intelligence, amenities, and market trends.
Data Fragmentation & Quality
Real estate data in India is scattered across registries, brokers, and offline records — normalizing and verifying this data was a significant challenge.
User Trust & Transparency
Building a platform that both property owners and tenants trust required transparent processes, verified listings, and robust dispute resolution mechanisms.
4. Objectives & Requirements
5. Strategy & Approach
We adopted a modular development approach, building the platform in phases starting with the core marketplace and layering on AI and management features. Our strategy centered on three pillars:
Modular Platform Architecture
Microservices architecture with independent modules for listings, tenant management, payments, analytics, and AI — allowing each to scale independently.
AI-First Intelligence
ML models power property valuations, personalized recommendations, price predictions, and fraud detection — improving with every transaction.
Trust-First Design
Verified listings, transparent pricing history, owner verification badges, and escrow-based rent collection to build trust among all stakeholders.
6. Technology Stack
Frontend
Backend
AI/ML
Infra
7. Solution Architecture
The platform follows a microservices architecture deployed on AWS ECS with API Gateway for unified access. Key architectural decisions included:
- API Gateway (Kong) for rate limiting, authentication, and routing to service modules
- Elasticsearch for property search with geo-spatial queries, facet filters, and typo-tolerant search
- Separate AI microservice for property valuation, price prediction, and recommendation engine
- Event-driven architecture using SQS/SNS for async tenant lifecycle notifications
- WebRTC and Three.js for immersive 3D virtual tours with real-time collaboration
- Stripe Connect for marketplace payments, rent collection, and escrow management
8. Key Features
AI Property Search
Natural language search with geo-spatial filters, price prediction, and personalized recommendations based on user preferences.
3D Virtual Tours
Immersive 3D walkthroughs built with Three.js — potential buyers can explore properties remotely with room-by-room navigation.
AI Valuation Engine
Automated property valuations using regression models trained on historical transactions, location data, amenities, and market trends.
Tenant Lifecycle Management
End-to-end tenant management — screening, digital agreements, rent collection, renewals, and move-out — all automated.
Maintenance Ticketing
Tenants submit maintenance requests with photos; auto-assigned to vendors with SLAs, status tracking, and satisfaction ratings.
Market Analytics Dashboard
Neighborhood-level insights on price trends, rental yields, demand patterns, and comparable property analysis.
Verified Listings & Trust
Owner verification, property document validation, and transparent price history to combat fraud and misrepresentation.
Rent Collection & Escrow
Automated rent collection via UPI, cards, and bank transfers with escrow protection, late fee automation, and receipt generation.
9. UI/UX Highlights
The platform serves four distinct user personas — each with unique workflows. Key UX decisions prioritized clarity, speed, and trust:
Persona-Based Navigation
Tailored onboarding and dashboard experiences for owners, tenants, buyers, and agents — each seeing only the tools they need.
Visual Property Insights
Property pages display price trends, neighborhood scores, nearby amenities, and AI-generated summaries at a glance.
Immersive Property Discovery
Interactive map-based search with instant filters, 3D tour previews, and high-resolution media galleries optimized for fast loading.
Seamless Transaction Flow
From inquiry to lease signing — all steps happen within the platform with digital signatures, payment receipts, and status tracking.
10. Development Process
Discovery & Market Research
Comprehensive discovery with stakeholder interviews, competitive analysis of existing proptech platforms, and technical feasibility assessment.
Marketplace MVP
Core property listing, search, and user profiles built in the first 10 weeks — enabling listing creation, discovery, and inquiries.
AI & Intelligence Layer
Valuation engine trained on historical data, recommendation system built, and market analytics dashboards developed over 8 weeks.
Management & Transactions
Tenant management, maintenance ticketing, rent collection, and digital agreements added in the next phase of development.
Launch & Iteration
Beta launch with curated property listings, user feedback integration, performance optimization, and continuous feature expansion.
11. Security & Performance
Security Measures
- End-to-end encryption for all user data and financial transactions
- Aadhaar and PAN-based identity verification for property owners and tenants
- Role-based access control with granular permissions for each stakeholder type
- GDPR-compliant data handling with user consent management and data portability
- Fraud detection system flagging suspicious listings and transaction patterns
Performance Targets
- Property search results delivered in under 200ms
- 3D virtual tour initial load under 3 seconds on broadband
- 99.9% uptime with multi-AZ deployment
- Scalable to 100K+ property listings and 1M+ monthly active users
- Payment processing with sub-second confirmation via Stripe
12. Results & Impact
10K+
Properties Listed
50K+
Monthly Active Users
12 Days
Avg. Days to Lease
99.9%
Platform Uptime
13. Future Scope
- AI-generated property listing descriptions and marketing content
- Blockchain-based property title verification and transaction recording
- Property management mobile app for iOS and Android with push notifications
- Integration with government land records for automated title verification
- Commercial real estate module with lease management and CAM reconciliation
- AI-powered property photography enhancement and virtual staging
- Home services marketplace — connecting tenants with verified service providers
14. Conclusion
Propenu has successfully bridged the gap between traditional real estate practices and modern technology. By combining a powerful marketplace with AI-driven intelligence and comprehensive property management tools, the platform serves as a one-stop solution for all real estate stakeholders.
Lobhari Technologies continues to partner with Propenu on enhancing the platform with new AI capabilities, expanding to new cities, and building the mobile-native experience that the next generation of users expects.
15. Frequently Asked Questions
How does the AI property valuation work?
Our valuation engine uses XGBoost regression models trained on historical transaction data, location intelligence, property attributes, amenities, and real-time market trends — achieving 92% accuracy within the target market.
Can property owners manage multiple properties on Propenu?
Yes. Owners get a portfolio dashboard where they can manage all their properties — view occupancy, track rent payments, handle maintenance requests, and generate reports.
How are tenant payments protected?
Rent payments go through an escrow system via Stripe Connect — funds are held securely and released to the owner after the tenant confirms occupancy or on a scheduled basis.
What types of properties are supported on the platform?
Propenu supports residential (apartments, villas, independent houses), commercial (offices, retail spaces), and co-living properties — each with tailored listing and management features.
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