Implementation of “Bagwatch” by the  Airport Operations Control Staff Team at Regional Development Project Station

Overview

  • Accurate Weight Capture: Ensure precise measurement of excess baggage and appropriate charging.
  • Revenue Analysis. Compare revenue differences before and after device installation.
  • Revenue Leakage Reduction: Decrease instances of revenue loss due to uncharged excess baggage.

Solution

  • Date Range Selection: Used the departure date range from April 7th to June 9th (post-device installation).
  • SSR Purchase Date: Analysed the actual purchase dates of Special Service Requests (SSR).
  • Data Columns Utilized: Included SSR Name, SSR Purchase Channel, SSR Count, and Revenue Generated to identify passengers purchasing excess baggage either at the airport or online.
  • Day Difference Calculation: Calculated the difference between journey/departure date and SSR purchase date for deeper insights.
  • Comparative Analysis: Compared SSR Count and Revenue generated before and after device installation at the RDP Station.

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Impacts

41% increase in SSR Count when comparing the 10 days before and after the device installation.

Accurate charging for excess weight

44% increase in total revenue from all excess baggage SSRs when comparing the 10 days before and after the device installation.

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