Predict ride-share surge pricing using data analysis and AI

• Predict surge pricing for ride-share drivers to optimize earnings.
• Analyze historical ride-share data to identify pricing trends.
• Provide real-time insights into surge pricing for ride-share companies.
• Enhance decision-making for ride-share operations based on predictive analytics.

Webhook receives incoming ride-share data. Data is split into smaller chunks for processing. Embeddings are generated from the data for analysis. Processed data is inserted into a vector database for storage. Queries are made to retrieve relevant insights based on user input. Results are sent to a tool for further action or reporting.

1. 1
   Import the Ride-Share Surge Predictor workflow template.
2. 2
   Configure the webhook to receive ride-share data.
3. 3
   Set up credentials for Cohere and Supabase integrations.
4. 4
   Define the Google Sheets document for logging results.
5. 5
   Test the workflow by sending sample ride-share data.