Review aggregation and sentiment analysis

Purpose

1.1. Automatically collect customer reviews from multiple sources (Google, Yelp, Facebook, in-store surveys) related to American grocery stores.
1.2. Apply sentiment analysis to quantify and qualify review feedback, classifying reviews as positive, neutral, or negative.
1.3. Distribute insights to sales, management, and support teams for real-time action on customer experience improvement and service recovery.

Trigger Conditions

2.1. New review posted on supported platforms (Google, Yelp, Facebook, Trustpilot, etc.).
2.2. Scheduled batch aggregation (hourly/daily review collection and analysis).
2.3. API callback from in-store kiosk or survey systems when feedback is submitted.
2.4. CRM record update indicating recent customer purchase or service interaction.

Platform Variants

3.1. Google My Business API
• Feature/Setting: 'reviews.list' endpoint to fetch latest store reviews.
• Configuration: OAuth2 with 'https://www.googleapis.com/auth/business.manage'.
3.2. Yelp Fusion API
• Feature/Setting: '/businesses/{id}/reviews' fetches business reviews.
• Configuration: Yelp API Key with read permissions.
3.3. Facebook Graph API
• Feature/Setting: '/{page-id}/ratings' endpoint pulls recent ratings and comments.
• Configuration: Page access token with 'pages_read_engagement' scope.
3.4. Trustpilot Business API
• Feature/Setting: GET '/v1/business-units/{businessUnitId}/reviews'.
• Configuration: API Key in header for authentication.
3.5. Amazon Retail API
• Feature/Setting: 'GetProductReviews' for store product reviews.
• Configuration: IAM user with proper permissions.
3.6. SurveyMonkey API
• Feature/Setting: 'GET /surveys/{id}/responses' to pull customer feedback.
• Configuration: OAuth2 with appropriate survey access.
3.7. Qualtrics API
• Feature/Setting: 'ResponseExport' task to extract survey data.
• Configuration: API token and active survey ID.
3.8. Google Forms Script API
• Feature/Setting: 'forms.responses.list' to extract feedback entries.
• Configuration: OAuth2, access to form owner’s account.
3.9. Twitter Developer API
• Feature/Setting: 'GET /2/tweets/search' for store mentions/reviews.
• Configuration: Bearer token with access level 'Elevated'.
3.10. Zendesk Support API
• Feature/Setting: 'List Satisfaction Ratings' to pull feedback on support tickets.
• Configuration: API token and user role allowing ticket read.
3.11. Salesforce Service Cloud
• Feature/Setting: 'CaseComment' object trigger to detect customer reviews.
• Configuration: Connected App with read 'Cases' permission.
3.12. HubSpot Reviews Integration
• Feature/Setting: Custom review properties in the contact timeline.
• Configuration: API or workflow to detect and pull review custom objects.
3.13. Sprout Social Review Aggregation
• Feature/Setting: Review Streams for all monitored channels.
• Configuration: Platform hookup through account credentials.
3.14. ReviewTrackers API
• Feature/Setting: GET '/locations/{id}/reviews' for multi-store collection.
• Configuration: API key and location IDs mapped.
3.15. Reputation.com API
• Feature/Setting: 'reviews/list' method for review aggregation.
• Configuration: Bearer token authentication.
3.16. OpenAI API
• Feature/Setting: 'openai.Completion' for natural language sentiment scoring.
• Configuration: Sentiment analysis prompt, API Key, select suitable model (e.g., gpt-3.5-turbo).
3.17. Google Cloud Natural Language API
• Feature/Setting: 'analyzeSentiment' for automated tone detection.
• Configuration: Service account key, batch text input.
3.18. Amazon Comprehend
• Feature/Setting: 'DetectSentiment' for each review text.
• Configuration: IAM user with AWS Comprehend permissions.
3.19. MonkeyLearn
• Feature/Setting: Pretrained 'Sentiment Analysis Model' endpoint.
• Configuration: API Key and batch endpoint invocation.
3.20. IBM Watson Natural Language Understanding
• Feature/Setting: 'Analyze Sentiment' for each review payload.
• Configuration: API Key, assign review texts as input objects.

Benefits

4.1. Enables real-time reaction to negative experiences, increasing customer satisfaction.
4.2. Consolidates scattered feedback for unified reporting and actionable dashboards.
4.3. Reduces manual review monitoring effort and supports proactive store management.
4.4. Provides measurable insights to refine marketing, store layout, inventory, and staff training decisions.
4.5. Early detection of product or service issues improves brand reputation and retention.