Abstract: Techniques for facilitating reservations between a first creative entity and a first venue. Digital audio data for a first creative entity is analyzed to determine acoustic attributes. A plurality of potential venues are determined. A machine learning model is used to calculate an estimated demand metric for the first creative entity for each of the plurality of potential venues, based on a venue profile for the respective venue and acoustic attributes for the first creative entity. Two or more venues are selected and a proposed itinerary is created. A digital order is generated based on the proposed itinerary. User profile data for the first creative entity is updated, upon successful completion of the digital order, and a digital transaction is generated to automatically charge a determined first amount to an account for the first venue and to transfer a determined second amount to an account for the first creative entity.

Abstract: Methods and systems for determining optimal ticket pricing using an estimated future interest in a live event. The methods and systems may include processors configured to determine relationships that are indicative of interest in a live event using one or more types of data, including live event data that indicates characteristics of individual live events, ticket data that indicates information regarding ticket sales to past live events, user data that indicates characteristics, past purchases, and/or affinities of individual users. The processors may also generate and maintain a live event interest model that is configured to use one or more determined relationships to estimate interest in an upcoming live event. The processors may use one or more types of data, the determined relationships, or the live event interest model to estimate future interest in an upcoming live event.