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Tracking and reporting of sales performance metrics

Purpose

 1.1. Automate collection, tracking, analysis, and reporting of airline ticket sales metrics (volume, revenue, agent performance, channel mix, refund rates, conversion rates).
 1.2. Deliver regular, error-free reports to stakeholders via scheduled notifications or dashboards.
 1.3. Support strategic decision making, real-time performance monitoring, and rapid identification of sales bottlenecks or opportunities.

Trigger Conditions

 2.1. New sales transaction recorded in ticketing back-office.
 2.2. Updates or changes to bookings (cancellations, rebookings).
 2.3. Scheduled time-based triggers (hourly, daily, weekly).
 2.4. Incoming data from GDS (Global Distribution System) feed/API.
 2.5. Threshold alerts (e.g., sudden drop in daily sales).

Platform Variants


 3.1. Salesforce
  • Feature/Setting: Configure Scheduled Flow to trigger on “Opportunity Closed – Won.”
  • Example: Set criteria in Flow Builder; use “Get Records” for tickets data.

 3.2. HubSpot
  • Feature/Setting: Use Workflow Automation with “Deal Stage Changed” as trigger.
  • Example: Map ticket data fields to custom properties; format and send to reports.

 3.3. Microsoft Power Automate
  • Feature/Setting: Recurrence trigger + Dynamics 365/Excel Online connector.
  • Example: Schedule job to pull new sales records, process, and export summary.

 3.4. Google Sheets API
  • Feature/Setting: On Edit/Append trigger.
  • Example: Script to update metrics and create charts for reporting.

 3.5. Zoho CRM
  • Feature/Setting: Workflow Rules for “Deal Won” + Custom Report Scheduler.
  • Example: Trigger report generation and email summary to management.

 3.6. Tableau
  • Feature/Setting: Scheduled Extract Refresh via Tableau Bridge API.
  • Example: Connect to live sales database, refresh and publish dashboard.

 3.7. Power BI
  • Feature/Setting: Dataflow/Streaming Dataset + Scheduled Refresh.
  • Example: Pull sales data, create real-time dashboards.

 3.8. Looker
  • Feature/Setting: Scheduled Reports via Looker API.
  • Example: Define custom metrics, send email and Slack digests.

 3.9. Monday.com
  • Feature/Setting: Automation with “Status changed” and “Create report” integration.
  • Example: Collect ticket order data and push to analytics dashboard.

 3.10. Slack
  • Feature/Setting: Incoming Webhooks for sales alerts.
  • Example: Trigger notification for team when KPIs met or sales drop.

 3.11. Zendesk Sell
  • Feature/Setting: Smart Lists with Scheduled Reporting.
  • Example: Filter closed tickets and send weekly sales metrics.

 3.12. Freshsales
  • Feature/Setting: Workflow Automation + Report Scheduler.
  • Example: Automate report generation on closed deals.

 3.13. QuickBooks
  • Feature/Setting: Sales Receipt creation event + Custom Reports.
  • Example: Use API for real-time updates in accounting reports.

 3.14. SAP Business One
  • Feature/Setting: Alerts/Approval Procedures for sales documents.
  • Example: Flag anomalies in ticket sales volume.

 3.15. Oracle NetSuite
  • Feature/Setting: Saved Search Scheduled Email.
  • Example: Automate daily issuance of ticket revenue reports.

 3.16. Google Data Studio
  • Feature/Setting: Scheduled Email delivery of dashboard.
  • Example: Connect data source and automate report sharing.

 3.17. Mailchimp
  • Feature/Setting: Automated Email Campaigns via API.
  • Example: Trigger upon sales milestones.

 3.18. Twilio
  • Feature/Setting: SMS alert via Programmable Messaging API.
  • Example: Send text to manager on daily sales over threshold.

 3.19. SendGrid
  • Feature/Setting: Automated Transactional Email API.
  • Example: Dispatch sales summary to selected departments.

 3.20. Airtable
  • Feature/Setting: Automation Trigger “Record Updated” + Scripting Block.
  • Example: Update metric dashboard and notify team.

 3.21. Pipedrive
  • Feature/Setting: Deal Stage Automation + Activity Scheduler.
  • Example: Log ticket sales by agent, automate reporting.

 3.22. Asana
  • Feature/Setting: Rules to create task upon sales milestone.
  • Example: Assign follow-up analysis to sales analyst.

Benefits

 4.1. Reduces manual effort and human error in calculating performance metrics.
 4.2. Delivers real-time insights for managers and agents.
 4.3. Accelerates response to sales trends and anomalies.
 4.4. Ensures consistency and reliability in sales tracking and reporting.
 4.5. Enhances data-driven decision-making in airline ticket sales operations.

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