Automated Connecting-Flight Optimization

An airline network is a moving target. When flight times shift, the set of viable connections between flights changes with them - and with a base of 1000+ flights, re-checking every possible pairing by hand is slow and error-prone. Missed connections mean lost revenue and stranded passengers; phantom ones mean broken itineraries.

Turkish Airlines needed the connection map to stay correct automatically as the schedule moved, without a planner manually re-deriving it each time.

I built an automated Python system that identifies new available connecting flights from a base of 1000+ existing flights whenever flight times change. The system applies the operational rules that define a valid connection - minimum and maximum layover, airport, timing - and recomputes the full set of viable connections on demand.

Instead of a planner re-checking the schedule by hand after every change, the tool surfaces the newly available connections immediately, keeping the connection map accurate as the timetable evolves.