Integration of reviews into analytics dashboards

Purpose

1.1. Centralize customer reviews from multiple sources into actionable analytics dashboards for Andhra restaurants.
1.2. Enable real-time performance tracking, sentiment analysis, and prompt response to customer feedback for improved engagement and loyalty.
1.3. Inform business decisions with comprehensive review data, bolstering quality control, reputation management, and service refinement.

Trigger Conditions

2.1. A new customer review is published on a chosen platform (Google, Zomato, TripAdvisor, etc.).
2.2. Scheduled aggregation intervals (e.g., every hour, daily summary).
2.3. Manual sync request by administrator via dashboard interface.

Platform Variants

3.1. Google My Business
• Feature/Setting: Reviews API; configure to fetch new reviews upon publishing.
3.2. Zomato
• Feature/Setting: Partner API Reviews Endpoint; poll at 15-min intervals for new feedback.
3.3. TripAdvisor
• Feature/Setting: Content API; connect ‘Review Feeds’ for automated pulling.
3.4. Facebook
• Feature/Setting: Graph API /ratings; subscribe via webhooks to new review events.
3.5. Instagram
• Feature/Setting: Comment Stream via Graph API; filter for restaurant hashtags and mentions.
3.6. Yelp
• Feature/Setting: Reviews Endpoint; set OAuth and automate GET requests for latest reviews.
3.7. Swiggy
• Feature/Setting: Partner Integrations; connect webhook for instant review notification.
3.8. Uber Eats
• Feature/Setting: Partner API (Reviews Event); receive JSON payloads when reviews arrive.
3.9. Amazon DynamoDB
• Feature/Setting: Store reviews as documents with timestamped keys for easy retrieval.
3.10. Slack
• Feature/Setting: Incoming Webhooks; notify team channels when critical reviews are received.
3.11. Power BI
• Feature/Setting: REST API Push Dataset; push real-time review data into dashboards.
3.12. Tableau
• Feature/Setting: Web Data Connector (WDC); schedule data import from aggregated review sources.
3.13. Looker Studio
• Feature/Setting: Community Connector with scheduled fetch of review metrics.
3.14. Zapier
• Feature/Setting: Multi-step zap for data normalization and outbound webhook to dashboards.
3.15. Microsoft Teams
• Feature/Setting: Incoming Webhook; alert managers on review sentiment below threshold.
3.16. Salesforce
• Feature/Setting: External Services Integration; log reviews as customer cases or leads.
3.17. HubSpot
• Feature/Setting: Custom Workflow Trigger; associate reviews with contact records.
3.18. Twilio SMS
• Feature/Setting: Programmable Messaging API; notify owners about urgent negative reviews.
3.19. Google Sheets
• Feature/Setting: Apps Script API; maintain a synced, structured sheet of all review data.
3.20. AWS Lambda
• Feature/Setting: Scheduled trigger; transforms incoming review payloads for analytics.
3.21. Freshdesk
• Feature/Setting: Ticket API; auto-create tickets from flagged negative reviews for follow-up.
3.22. Intercom
• Feature/Setting: Conversations API; log and route review comments to support staff.

Benefits

4.1. Immediate awareness of reputation trends from all review channels.
4.2. Proactive response to negative sentiment, enhancing guest retention.
4.3. Data-driven menu and service adjustments with transparent customer insights.
4.4. Scalable workflow reduces manual review checks and elevates staff focus.
4.5. Unified dashboard view, minimizing scattered data and improving oversight.
4.6. Deeper customer loyalty owing to responsive engagement practices.