Automated Revenue Forecasting Using Stripe, GPT-4, and Google Sheets

Overview

This workflow automates revenue prediction by integrating Stripe transaction data with advanced AI forecasting and seamless data storage. It leverages GPT-4 for predictive analytics and Google Sheets for accessible reporting.

Key Features

• Automated Scheduling: Runs daily to fetch the latest Stripe charges.
• AI-Powered Forecasting: Utilizes GPT-4 via OpenAI to analyze and predict future revenue trends.
• Data Enrichment: Employs embeddings and vector storage (Pinecone) for enhanced data processing.
• Structured Output: Parses and formats AI outputs for clarity and consistency.
• Centralized Storage: Saves forecasts to Supabase and Google Sheets for easy access and further analysis.

Benefits

• Time Savings: Eliminates manual data extraction and forecasting, reducing human error.
• Actionable Insights: Provides timely, data-driven revenue predictions to support business decisions.
• Scalable Automation: Easily adapts to increased data volume or additional data sources.

Use Cases

• Financial teams seeking automated, AI-driven revenue forecasts.
• SaaS businesses monitoring daily sales performance.
• E-commerce platforms aiming to optimize financial planning.

Integrations

• Stripe: For real-time sales data.
• OpenAI (GPT-4): For predictive analytics.
• Pinecone & Supabase: For data processing and storage.
• Google Sheets: For reporting and collaboration.