Instant Vehicle Valuation & CRM Integration
Budget: $15 – $50 USD
ob Title: Senior Backend Architect: Automated Vehicle Valuation Engine & GHL Integration
Project Overview: We are building a car buying website that will give instant, a high-volume vehicle acquisition platform. Similiar to Peddle, Wheelzy, CarBrain, CarsforCash.com
We need a Senior Backend Engineer to design and build a proprietary "Valuation Engine." This system will take a VIN and Zip Code, calculate a guaranteed offer in real-time by pulling from multiple data sources (Scrap/Wholesale/Retail), and push the lead data into our GoHighLevel (GHL) CRM.
Scope of Work:
Valuation Engine: Build the logic for a multi-tiered pricing model.
Tier 1: Scrap floor via real-time commodity APIs (Nexus/Metals-API).
Tier 2: Wholesale data via Black Book or Manheim (MMR) APIs.
Tier 3: Custom "Heat Map" multipliers for specific regions/models.
GHL Architecture: Create a deep integration via GHL API v2 to handle lead tagging, instant SMS triggers, and title photo uploads.
Database Management: Implement a database to track all historical quotes and auction outcomes for a feedback loop.
Efficiency: The entire calculation must be optimized for 3s latency.
Required Skills:
Languages: Python (Selected), Node.js, SQL.
APIs: API Development (Selected), API Integration, RESTful Architecture, Webhooks.
Database: PostgreSQL or MongoDB.
Automation: Experience with GoHighLevel automations and Twilio API.
Bonus: Headless browser automation (Playwright/Puppeteer) for price monitoring.
Project Overview: We are building a car buying website that will give instant, a high-volume vehicle acquisition platform. Similiar to Peddle, Wheelzy, CarBrain, CarsforCash.com
We need a Senior Backend Engineer to design and build a proprietary "Valuation Engine." This system will take a VIN and Zip Code, calculate a guaranteed offer in real-time by pulling from multiple data sources (Scrap/Wholesale/Retail), and push the lead data into our GoHighLevel (GHL) CRM.
Scope of Work:
Valuation Engine: Build the logic for a multi-tiered pricing model.
Tier 1: Scrap floor via real-time commodity APIs (Nexus/Metals-API).
Tier 2: Wholesale data via Black Book or Manheim (MMR) APIs.
Tier 3: Custom "Heat Map" multipliers for specific regions/models.
GHL Architecture: Create a deep integration via GHL API v2 to handle lead tagging, instant SMS triggers, and title photo uploads.
Database Management: Implement a database to track all historical quotes and auction outcomes for a feedback loop.
Efficiency: The entire calculation must be optimized for 3s latency.
Required Skills:
Languages: Python (Selected), Node.js, SQL.
APIs: API Development (Selected), API Integration, RESTful Architecture, Webhooks.
Database: PostgreSQL or MongoDB.
Automation: Experience with GoHighLevel automations and Twilio API.
Bonus: Headless browser automation (Playwright/Puppeteer) for price monitoring.