Retrieval and analytics of popular booking times

Purpose

1. Automate retrieval and analytics of popular booking times across all digital reservation channels for Hakka restaurants.

2. Automated workflow collects reservation data, analyzes frequency, trends, and detects time slots with high demand.

3. Automation includes recurrent analytics, dashboard updates, notifications, and integration with marketing and staffing tools to optimize Hakka cuisine operations.

Trigger Conditions

1. Automatedly triggers on new reservation entry, update, or scheduled intervals (hourly, daily, weekly).

2. Triggered by API call, webhook from POS/ordering system, batch data import, or reservation platform integration.

3. Manual trigger option for admins to force analytics refresh.

Platform Variants

1. Google Sheets

• Feature/Setting: API to automate retrieval of sheet reservation data; configure Scheduled Triggers for analytics every night.
  

2. OpenTable

• API: Reservations Endpoint; automate data extraction and webhooks for new bookings in Hakka restaurant segment.
  

3. Resy

• API: Bookings Export; set to automate hourly synced extraction of reservation data.
  

4. Square

• Feature: Appointments API; configure automation to pull bookings for analysis.
  

5. HubSpot

• Feature: Workflows; automate analytics with scheduled export and report generation from CRM data.
  

6. Salesforce

• API: SOQL Query Automation on Opportunities/Custom Booking Object, scheduled automation for analytics runs.
  

7. Slack

• Feature: Incoming Webhook; automate alerts of peak times based on analytic thresholds.
  

8. Zapier

• Feature: Scheduler + Webhooks; automate periodic data pulls from connected reservation apps.
  

9. Power BI

• Feature: Dataflows; automate refresh and analytics on incoming booking datasets.
  

10. Tableau

• API: Tableau Prep Conductor; automates data pipeline for real-time booking time visuals.
  

11. Mailchimp

• Feature: Automated Audiences; automate targeted marketing campaigns for various booking times.
  

12. Twilio SMS

• Feature: SMS API; automate notifications to staff or management about booking peaks.
  

13. Microsoft Teams

• Feature: Adaptive Cards; automate dashboard posting summarizing popular reservation times.
  

14. Notion

• API: Database Sync; automate extraction and visual update of booking trends.
  

15. Airtable

• Feature: Automations; schedule automated analysis on reservations table.
  

16. AWS Lambda

• Feature: Event-triggered function; automate running data analytic scripts on new reservation entries.
  

17. Google Data Studio

• Feature: Automated Data Connectors; live analytics and visualizations update with new booking data.
  

18. Shopify (with food order plugin)

• App API: automate aggregation of order times for booking analytics and cross-promotion reporting.
  

19. Segment

• Feature: Destination Functions; automate streaming of booking data for analytics downstream.
  

20. Rasa

• Feature: Custom Actions; automate chatbot analytics insights to customers on peak times.
  

21. Klaviyo

• Feature: Automated Flows; automate segmentation and messaging based on peak booking analytics.
  

22. Monday.com

• Feature: Automations; schedule analytics and dashboard presentation for Hakka restaurant managers.
  

Benefits

1. Automated analysis identifies peak reservation periods, optimizing table allocation for Hakka cuisine.

2. Supports staffing and prep logistics by automating booking trend insights.

3. Drives automatedly targeted marketing during off-peak hours, increasing revenue.

4. Reduces manual data handling through end-to-end ordering and reservation management automation.

5. Automates alerting of unusual booking patterns or spikes for proactive planning.

6. Automated analytics feedback improves menu planning, promotions, and customer experience for Hakka restaurants.