Guest count and average spend analysis

Purpose

1.1. Automate the continuous collection, processing, and analysis of guest count and average spend per customer within Andalusian restaurants to optimize menu, staffing, and marketing, ensure precise daily revenue tracking, and provide actionable financial analytics for business growth, cost control, and customer segmentation.

Trigger Conditions

2.1. New transaction or order completion
2.2. End-of-day POS batch closure
2.3. Upload to accounting/inventory software
2.4. Scheduled interval (e.g., hourly, nightly)
2.5. Receipt of email or webhook from delivery partner
2.6. Receipt of booking/visit confirmation from reservation system

Platform Variants

3.1. Square POS
• REST API: /v2/transactions endpoint for retrieving order data and customer counts
3.2. Toast POS
• Reporting API: /api/v2/reports/sales for real-time sales and guest analysis
3.3. Lightspeed Restaurant
• API: Orders and Payments endpoints for extracting tickets and spend metrics
3.4. Oracle MICROS
• Simphony Web API: RetrieveGuestCount for guest tracking, GetCheckDetails for spend
3.5. Clover POS
• Orders API: Get latest order totals and itemized breakdown per table
3.6. Revel Systems
• Orders API: /resources/OrderSummary for daily guest/transaction aggregation
3.7. Upserve POS
• Analytics API: Pull guest traffic and check-level spend data, schedule reports
3.8. OpenTable
• Guest Center API: Reservation summary webhook for party size, arrival, and revenue
3.9. Resy
• API (Bookings): Get reservations and guest counts, connect to spend via POS cross-ref
3.10. 7shifts
• API: Retrieve shift data, correlate with sales for cost and performance metrics
3.11. QuickBooks
• API: Pull daily sales receipts, link to POS order metadata for analytical enrichment
3.12. Xero
• API: Transaction endpoint for daily revenue sync and reconciliation
3.13. Google Sheets
• Apps Script or Sheets API: Import sales ledger and build dynamic Dashboards
3.14. Power BI
• Data Connector: Import POS/Accounting exports, schedule refresh for report automation
3.15. Tableau
• Connector: Schedule extraction from data warehouse, visualize guest/spend analytics
3.16. Zapier
• Zap: Automate data flow from email, cloud POS, or spreadsheet events
3.17. Integromat
• Scenario: Fetch daily sales, parse guest count, aggregate metrics, send alerts
3.18. Slack
• Incoming Webhook: Push hourly/daily guest and spend KPI summaries to managers
3.19. Microsoft Teams
• Flow: Post analytical notifications when spend or guest anomalies detected
3.20. Mailgun
• API: Trigger email reports to stakeholders based on live analytics processing
3.21. Amazon Redshift
• Data API: Load collected metrics to cloud warehouse for historical trend analysis
3.22. Snowflake
• Connector: Automate pipeline from raw POS and reservation systems for BI workloads
3.23. HubSpot
• Workflow: Update or segment contacts based on visit frequency and spend tiers
3.24. Shopify (if retail integrated)
• Orders API: Integrate front-of-house purchases to supplement guest analytics

Benefits

4.1. Uninterrupted, error-free data gathering and reporting
4.2. Real-time insights for staffing, promotions, and cost control
4.3. Holistic revenue, guest traffic, and check-average trends across platforms
4.4. Automated alerts drive quick responses to sudden changes in performance
4.5. Reduced manual work and increased analytics accuracy for strategic decision-making