GreenPal — On-Demand Lawn Care Marketplace | 10,000+ Pros, 250+ Cities
Built the full mobile platform for GreenPal — the leading US lawn care marketplace connecting homeowners with 10,000+ local lawn care professionals across 250+ cities. Two-sided marketplace with real-time job matching, GPS tracking, Stripe Connect payouts, in-app messaging, and a comprehensive review system. Processing millions in annual transactions.
Client
GreenPal
Project Value
$200,000+
Rating
The Challenge
GreenPal had a validated business concept — an on-demand lawn care marketplace modelled on Uber — but needed a mobile platform that could handle the full complexity of a two-sided marketplace at scale. The challenge was not just building a booking app; it was engineering a platform that balanced competing needs: homeowners needed frictionless booking and reliable service arrival tracking, while lawn care professionals needed job management, route optimisation, instant payment access, and earnings visibility. Critically, the platform had to work reliably in suburban and rural areas where connectivity is inconsistent — lawn pros cannot lose their active job queue because of a spotty 4G signal. On top of this, the matching algorithm needed to consider distance, availability windows, service area coverage, provider ratings, and real-time job load simultaneously.
The Goal
Deliver a production-grade two-sided marketplace app with separate optimised experiences for homeowners and service providers — real-time job matching, GPS-enabled arrival tracking, Stripe Connect integrated payouts, in-app messaging, a trust-building review system, and offline-resilient job management for lawn professionals in low-connectivity suburban and rural areas.
Solution & Implementation
1Analysis
Mapped the full transaction lifecycle across both sides of the marketplace — from homeowner's initial service request through provider matching, job acceptance, service delivery, payment, and post-service review. Identified five critical friction points in existing manual workflows: no real-time provider availability, no transparent pricing until after booking, no arrival tracking, cash-only payment with no dispute resolution, and no reputation system. Studied Uber, Handy, and Thumbtack architecture patterns and identified what made lawn care specifically different: seasonal demand spikes, variable job durations, multi-zone service areas per provider, and the need for repeat-service scheduling — not just one-off bookings.
2Designing Solution
Built two entirely separate app experiences on a shared React Native codebase: a homeowner app optimised for quick booking and passive tracking, and a lawn pro app built around active job management and earnings. The matching algorithm was designed as a weighted scoring function: provider proximity (real-time GPS), availability window fit, service area polygon overlap, current job load, and weighted rating score. Stripe Connect was selected as the payment infrastructure because its marketplace features (escrow, automatic payout splits, dispute management) handled the core marketplace trust problem without requiring custom financial logic.
3Customizing Business Logic
Built a geolocation-based provider matching engine that queries available providers within a dynamic radius, scores them on the weighted function, and presents the top three matches to the homeowner with live ETA estimates. The lawn pro job management view shows current active job with GPS navigation, upcoming jobs in priority order, earnings summary, and service area configuration. In-app messaging uses a custom thread model linking each conversation to a specific job — so context is never lost when a homeowner messages a provider. The review system captures post-service ratings and feeds back into the matching weight immediately, not after a delay.
4Scale & Optimize
Built aggressive offline resilience into the lawn pro experience: the active job queue, navigation route, and job details are cached locally so a pro can continue a job without connectivity and sync status updates when connection is restored. Stripe Connect webhook handling was built with idempotency keys and retry logic to ensure no payment event is lost during high-traffic periods. Infrastructure is on AWS with auto-scaling EC2 behind an Application Load Balancer, handling seasonal demand spikes in spring and summer without performance degradation.
Results & Impact
Transactions Processed
Active Markets
Lawn Pros On Platform
Customer Satisfaction
Year-over-Year Growth
Two-sided marketplace with separate optimised experiences: homeowner booking flow and lawn pro job management — built on a shared React Native codebase
Weighted provider matching algorithm: real-time GPS proximity, availability window fit, service area polygon overlap, job load, and rating score — computed in under 500ms
Stripe Connect marketplace integration: escrow, automatic payout splits, dispute management, and instant payouts to 10,000+ service providers without custom financial logic
Offline-resilient lawn pro experience: active job queue, navigation, and job details cached locally — syncs status updates automatically when connectivity is restored
Real-time GPS arrival tracking with geofenced job start/stop triggers — homeowners track provider location and receive notifications on arrival and completion
In-app messaging threads linked to specific jobs — conversation context is preserved throughout the homeowner-provider relationship
AWS auto-scaling infrastructure handles seasonal demand spikes (spring/summer) without performance degradation across 250+ markets
Repeat-service scheduling module allows homeowners to set recurring weekly or bi-weekly lawn care — the highest-value retention mechanic in the business model
Key Technologies
"Ortem Technologies has been instrumental in scaling GreenPal to become the #1 lawn care app in America. Their technical expertise in building marketplaces, combined with their understanding of our business model, delivered a platform that processes millions in transactions reliably."
GreenPal Inc.
GreenPal
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