Analyze hotel reviews with OpenAI GPT-4o-mini and Airtable sentiment fields

🏩 Analyze hotel reviews with OpenAI and update sentiment in Airtable This workflow automatically analyzes hotel guest reviews using OpenAI and updates the sentiment, summary, and confidence score directly in Airtable. It helps hospitality teams monitor guest satisfaction, identify negative experiences quickly, and generate structured insights without manual effort.

By enriching every review with AI-generated sentiment data, teams can improve service quality, prioritize responses, and track performance trends over time.

🎯 Who’s it for This template is ideal for: - Hotel owners and hospitality businesses - Customer experience and guest relations teams - Property managers handling guest feedback - Operations teams tracking service quality - Businesses storing reviews in Airtable

It’s also useful for any business that wants to automatically analyze customer feedback stored in a database.

🔍 How it works

The workflow runs automatically whenever a new review is added to Airtable.

It: 1. Monitors Airtable for new reviews 2. Extracts and prepares the review data 3. Sends the review text to OpenAI for sentiment analysis 4. Generates: - Sentiment (Positive, Neutral, Negative) - Short summary - Confidence score 5. Flags conflicts between rating and sentiment 6. Updates the Airtable record with the results 7. Marks the review as processed to prevent duplicate analysis

This creates a fully automated sentiment processing pipeline.