fee-analysis

Flight pricing analysis works by parsing base fares and applying airline-fee rules per carrier to account for hidden charges. It computes total costs per passenger by including baggage counts, seat selection, and payment surcharges to reveal the actual price.

Re-ranking flight options involves computing a true_total that includes baggage charges and surcharges for each itinerary, then ordering the results by this computed metric. This process surfaces the best overall value rather than the lowest advertised base fare.

You can simulate different traveler profiles by adjusting passenger baggage counts and toggling loyalty status flags within the analysis. This what-if scenario modeling applies carrier-specific loyalty waivers to compute accurate total costs for varying traveler needs.

Comparing multiple carriers requires a flight results JSON containing base fares and fare rules, paired with a passenger profile specifying baggage counts and loyalty status. This structured travel data allows the engine to parse options and apply airline-fee rules accurately.

Fee analysis is specifically designed for scenarios comparing multiple carriers and fare rules across itineraries. It explicitly accounts for both carry-on and checked baggage charges to ensure accurate cost optimization when evaluating different flight options.