BIDT Audit

Rassure offers services for Airlines to recover the revenue loss in the Distribution Cost of the Airlines.

There are 2 components to the service:

  • BIDT service
  • Distribution Watch

The advantages of the BIDT service are as follows :

  • End to End service right from Invoice matching, Identifying abuse, ADM management and disputes.
  • Effective use of BIDT and PNR data, saving the cost of integrating with Revenue Integrity tools but finding abuse 30~40% more than any standard BIDT tools available in the market.
  • The ability to automatically look at multiple past month data to ensure no churnings are missed based on multiple months occurrence.
  • The Ability to identify IATA agents even for PCC ensuring the Airline does not lose money.
  • The Ability of machine learning is effective in Duplicate bookings.
  • Distribution Watch effectively uses the PNR data with BIDT data and offers the following benefits to the Distribution team of the Airline
  • GDS Invoicing: Current GDS invoice reconciliation involves checking the invoice against the BIDT file.  This is a self-referential check! There is no checking against an independent source of truth. Distribution Watch uses PNR data to verify the invoice and identify booking charges which did not result in a passenger on a seat. This is a form of ‘unproductive booking’
  • Insights to GDS Cost elements: Breakdown of the cost across various attributes at a segment level which can reflect the cost of sales and insights to control the same as an Airline overall strategy.
  • Intense BIDT violation detection -The violations identified via the BIDT audit may still incur booking charges when a non-host GDS is involved.  Cancellations made by an airline (driven by Revenue Integrity) may not always lead to cancellations in the foreign GDS, leading to ‘unproductive bookings.’

The costs incurred by an airline for these unproductive bookings is material. GDS annual invoicing for a $10B airline is around US$50-60M per annum.  Rassure believes that unproductive bookings are around 10-12% of total bookings (i.e. a potential saving of US$5-7m per annum). Distribution Watch is novel because we use multiple data sources and AI algorithms to achieve speed and precision not previously possible. Besides, we integrate a workflow that automates the process of translating unproductive bookings into recoverable claims or identifying the source of the leakage.

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