Abstract: Aspects of the present disclosure include an electronic ticket processing system that enables the management of a venue with auction-based, during event, peer-to-peer electronic ticket exchanges. The peer-to-peer during event ticket exchange can be limited by the location of the electronic device of a user and can allow the event attendees enhancement of their experience (e.g. by upgrading their seat location or rights to access). In some embodiments, the during event peer-to-peer ticket exchange can be encouraged or controlled by the venue in accordance to broadcasting aspects, crowd control, analytics, to encourage consumer spending, memberships, and/or other real time updates (e.g. weather, game scores, security concerns).

Abstract: Aspects of the present disclosure include an electronic ticket processing system that enables the management of a venue with auction-based, during event, peer-to-peer electronic ticket exchanges. The peer-to-peer during event ticket exchange can be limited by the location of the electronic device of a user and can allow the event attendees enhancement of their experience (e.g. by upgrading their seat location or rights to access). In some embodiments, the during event peer-to-peer ticket exchange can be encouraged or controlled by the venue in accordance to broadcasting aspects, crowd control, analytics, to encourage consumer spending, memberships, and/or other real time updates (e.g. weather, game scores, security concerns).

Abstract: Aspects of the present disclosure include an electronic ticket processing system that enables the management of a venue with auction-based, during event, peer-to-peer electronic ticket exchanges. The peer-to-peer during event ticket exchange can be limited by the location of the electronic device of a user and can allow the event attendees enhancement of their experience (e.g. by upgrading their seat location or rights to access). In some embodiments, the during event peer-to-peer ticket exchange can be encouraged or controlled by the venue in accordance to broadcasting aspects, crowd control, analytics, to encourage consumer spending, memberships, and/or other real time updates (e.g. weather, game scores, security concerns).

Abstract: Systems and methods are provided to optimize a vendor's schedule by analyzing potential follow-up tasks and suggesting suitable follow-up tasks that satisfy certain criteria. The total revenue per hour of the follow-up task may be calculated by taking travel time to and from the follow-up task into account and compared to total revenue per hour calculated based on the vendor's historical job information. Coupon rates that may be offered to the customer associated with the follow-up task may also be determined algorithmically and suggested to the vendor.