Automated Ride-Share Surge Prediction and Logging

Name: Automated Ride-Share Surge Prediction and Logging
Rating: 5 (14 reviews)
Author: Free N8N

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AI & Machine LearningAIGoogle SheetsSupabaseautomationpredictionride-sharingsurge pricingwebhook

This workflow automates ride-share surge prediction by processing incoming data, generating embeddings, querying a vector store, and logging results to Google Sheets. It leverages webhook triggers and AI tools for intelligent prediction and data management.

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About This Workflow

Overview

This n8n workflow is designed to predict ride-share surge pricing and log the predictions. It utilizes a webhook to receive incoming data, splits it into manageable chunks, and then creates embeddings using an AI model. These embeddings are stored in a Supabase vector store for efficient querying. When a query is made, the workflow retrieves relevant information, utilizes an AI agent to interpret the results and predict surge pricing, and finally logs the outcome to a Google Sheet for review and analysis.

Key Features

Real-time data ingestion via webhook.
AI-powered text splitting for efficient processing.
Vector database integration (Supabase) for intelligent data retrieval.
Agent-based prediction leveraging LLMs and memory.
Automated logging to Google Sheets for historical tracking.

How To Use

Configure the Webhook node to receive incoming ride-share data.
Set up Splitter node with appropriate chunk size and overlap.
Configure Embeddings node with your preferred AI model and credentials.
Set up Insert and Query nodes for Supabase vector store, including your index name and credentials.
Configure Tool, Memory, and Chat nodes for the AI agent.
Define the prompt and logic within the Agent node.
Configure the Sheet node to specify your Google Sheet ID and log sheet name.
Ensure all necessary credentials (Cohere, Supabase, Google Sheets, Anthropic) are set up in n8n.

Apps Used

Google Sheets

Supabase

automation

prediction

ride-sharing

surge pricing

webhook

Workflow JSON

{
  "id": "dd02dec2-0fdd-47a8-b1a2-083ffacb31af",
  "name": "Automated Ride-Share Surge Prediction and Logging",
  "nodes": 0,
  "category": "AI & Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.