As a leading travel marketplace, Skyscanner is serving a daily load of up to a dozen billion flight itineraries to its users across the globe. The distribution of travel quotes at such a scale requires caching mechanisms optimised for minimising the load on the partners (airlines and travel agencies) and maximising the relevance and comprehensiveness of the itineraries to the travellers. This talk will be focused on using data mining approaches for optimising dynamic content distribution at scale and will shed the light on Skyscanner’s efforts in this direction.