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Point of viewAI in airlines

Fare rules are the hidden tax on airline retailing. GenAI can finally read them

Every carrier writes its penalties and conditions differently. Rule-based parsers break on each new format, so agencies quote penalties wrongly and disputes follow. Large language models change the economics — if they are validated, not trusted blindly.

7 min read

Also featured

Point of viewAirline industry trends

Virtual interlining: selling the itineraries the network can't

Budget travellers will take more stops for a lower fare, but code-share itineraries price them out. Treating the global flight network as a graph — with real connection rules built in — opens itineraries traditional channels never show.

6 min read

The numbers

Data points shaping airline now

Sourced figures from our latest research. Each links to the insight that puts it in context.

99.8%
fare-rule accuracy with our AI engine, against an industry average of 82%
Source: DaasLabs travel-technology case study
Read the point of view →
60%
reduction in penalty costs, with processing cut from hours to seconds
Source: DaasLabs travel-technology case study
Read the point of view →
120+
airlines covered by the fare-rules pipeline (scope of the build)
Source: DaasLabs travel-technology case study
Read the point of view →
392
virtual route combinations from 22 airlines in an illustrative demo search
Source: DaasLabs interlining demo
Read the point of view →
Future of airlines

Latest insights

1 insight

Point of viewFuture of airlines

Governing AI in a safety-critical business

Airlines can't let an opaque model decide a maintenance finding, a crew assignment or a passenger's refund. The answer is not to avoid AI but to give every agent an autonomy level, an owner and an audit trail.

5 min read

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Where we are focusing

Airline industry trends

Distribution, retailing and the forces reshaping the airline business.

All 1 insight →

Transformation

Data foundations, revenue accounting and the finance function.

All 1 insight →

Future of airlines

Governing AI and building the AI-native airline.

All 1 insight →
Series

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Series 2 parts

AI in airlines

Point of viewAI in airlines

Fare rules are the hidden tax on airline retailing. GenAI can finally read them

Every carrier writes its penalties and conditions differently. Rule-based parsers break on each new format, so agencies quote penalties wrongly and disputes follow. Large language models change the economics — if they are validated, not trusted blindly.

7 min read

Series 1 part

Airline finance

Point of viewTransformation

Revenue accounting without the month-end scramble

Tickets, coupons, EMDs, settlements and interline billing are still reconciled across many systems. Matching, integrity checks and commentary are where agents pay back first — with controllers approving every entry.

5 min read

Series 1 part

Airline retailing

Point of viewAirline industry trends

Virtual interlining: selling the itineraries the network can't

Budget travellers will take more stops for a lower fare, but code-share itineraries price them out. Treating the global flight network as a graph — with real connection rules built in — opens itineraries traditional channels never show.

6 min read

Series 1 part

Governing AI

Point of viewFuture of airlines

Governing AI in a safety-critical business

Airlines can't let an opaque model decide a maintenance finding, a crew assignment or a passenger's refund. The answer is not to avoid AI but to give every agent an autonomy level, an owner and an audit trail.

5 min read

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