We developed a custom property management platform with mobile apps for a UK real estate firm managing 1,200+ properties. The solution automated tenant screening, lease management, and maintenance tracking, reducing administrative workload by 50%. AI-powered features improved tenant matching and rent collection, while real-time analytics helped agents make data-driven decisions. Within 9 months, the client achieved 35% faster lease signings and 20% higher tenant retention.
Client Industry
Real Estate (Residential & Commercial)
Client Location
London, UK
Project Duration
7 months
Team Size
12 (Developers, UX Designers, Real Estate Specialists)
Technology Used
- React.js & Flutter for web/mobile apps
- Node.js backend with Firebase
- AI-powered tenant matching algorithms
- DocuSign API for digital contracts
- Stripe integration for rent collection
- GDPR-compliant security features
Client Background
The firm managed a growing portfolio but faced challenges with manual processes:
- Slow tenant screening (7+ days per application)
- Paper-based lease agreements causing errors
- Disorganized maintenance tracking
- Inefficient communication channels
Project Scope
- Automated Tenant Screening
Reduced approval time from 7 days to 24 hours using AI analysis of credit scores and references. - Digital Lease Management
Streamlined contract signing with e-signatures and auto-renewal reminders. - Maintenance Tracking System
Enabled tenants to submit requests with photos, tracked to resolution. - Automated Rent Collection
Scheduled payments with late-fee enforcement reduced delinquencies. - Portfolio Analytics
Real-time dashboards showing occupancy rates and financial performance.
Our Approach
- Conducted workflow analysis across all departments
- Designed mobile-first experience for on-the-go access
- Built compliance with UK rental laws into core features
- Piloted at select branches before full rollout
Key Features
- AI tenant matching based on preferences
- Virtual tour integration for listings
- Predictive maintenance cost alerts
- Chatbot for instant tenant support
- Market-based rent price recommendations
Challenges Solved
- Eliminated manual paperwork bottlenecks
- Improved tenant-landlord communication
- Reduced late payments through automation
- Centralized previously siloed data
Business Impact
- 50% reduction in administrative workload
- 35% faster lease signing process
- 25% decrease in late rent payments
- 20% improvement in tenant satisfaction scores
- 30% quicker vacancy filling
