Contact person: Lawn Care Pricing SaaS MVP Development

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Location: Chicago, United States

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Executive Summary – Lawn Care Pricing MVP
This document should give an idea of my thought process, give you an idea of what the business model is and what is to be put together. I’ve been working at this myself for a while but I’m not that good with code. I’ve been using chatgpt, replit, and n8n workflow I build. The steps below are just the way I’ve been doing it. If you think there is better ways than what I have, that would be fine.
Vision
The MVP is a B2B SaaS tool that enables landscaping companies to embed a simple “Instant Quote” widget on their websites. Homeowners can enter their address and contact details to instantly receive a lawn size estimate and dynamic pricing quote for lawn mowing. The system uses AI, satellite imagery, and business logic to automate measurement, adjust pricing for seasonality, and enforce customer access controls (subscriptions and tokens).

The product’s purpose is to streamline customer acquisition for landscaping companies while giving them an intelligent pricing tool that reduces wasted time on manual quoting. Additionally, when a homeowner receives a quote, the system will offer an option to book service directly. A small transaction fee (percentage of the booked service) will be collected as revenue for the platform along with a subscription from the landscaping companies.
Core User Flow
1. Homeowner Interaction
- Visits landscaping company’s website.
- Sees a branded “Instant Quote Box” embedded as code.
- Enters contact information and property address.
- Clicks Get Quote.
- System shows pricing and gives the option to book service immediately.

2. Backend Workflow
- Request is sent to a proxy server (hosted on Replit in MVP) at /api/quote.
- Proxy enriches the request with the landscaper’s client_id and Authorization token.
- Proxy forwards to n8n workflow with headers + body.

3. n8n Workflow
- Step 1: Access Check – Validates token, client_id, and subscription status.
- Step 2: Geocoding – Uses Google Maps API to normalize the address and fetch latitude/longitude. Or also cross reference with an api key that gives land parcels for addresses and then the tool can take image of proper area (sometimes larger yards, or smaller ones and distinguishes the area).
- Step 3: Lawn Measurement – Integrates with satellite imagery APIs to approximate lawn square footage.
- Step 4: Pricing Logic – Calculates dynamic price with seasonality adjustments and produces a price range.
- Step 5: Booking Option – Returns booking link alongside quote data.
- Step 6: Response – Returns JSON payload including address, square footage, price quote, and booking URL.

4. Customer Display
- Website widget displays: Address, Lawn Size, Estimated Price, and a 'Book Now' button.
System Architecture
Frontend (Widget):
- Embeddable HTML/JS snippet.
- Collects homeowner info and property address.
- Displays quote + booking button.

Backend Proxy (Replit MVP):
- Endpoint: /api/quote.
- Injects landscaper authorization token.
- Forwards request to n8n.

n8n Workflow:
- Webhook entry.
- Auth check.
- Geocode + Satellite APIs.
- Lawn measurement logic.
- Price calculation.
- Booking link injection.
- Respond with JSON to frontend.
Security & Access Control
- Each landscaper receives a unique client_id and token.
- Tokens are validated by n8n.
- Only active + subscribed landscapers are authorized.
- Proxy ensures landscapers cannot bypass subscription.
Key Deliverables for MVP Developer
1. Replit Backend: Node.js/Express server with /api/quote endpoint.
2. n8n Workflow: Webhook entry, authorization check, address parsing, lawn measurement, pricing logic, and booking option.
3. Frontend Widget: Embeddable snippet for websites.
4. Client Registry: Hardcoded IDs and tokens (upgrade later to DB/Sheets).
Future Expansion
- More accurate AI lawn detection.
- Landscaper dashboard.
- Automated billing + subscription management.
- CRM integrations.
- Mobile-friendly booking." (client-provided description)