Distributed Ledger Framework for Concert Scheduling
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Solution Overview
Problem
Concert promotion faces challenges in efficiently scheduling performances due to the complexity of selecting suitable venues and performers that align with audience preferences, leading to vacant venues and unsatisfied concert-goers.
Innovation Solution
A secure framework method utilizing a distributed ledger to coordinate event performances by receiving fan selections, performer and venue costs, and embedding these into an immutable smart contract, allowing for crowdsourced funding and efficient allocation of resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single individual or small group of individuals schedules concert performances, then the scheduling process can be managed with limited decision makers, but the ability to optimally arrange performances across vast numbers of available performances and diverse audience tastes becomes nearly impossible
Solution Approach 1:
The system enables fans to directly select performers and venues, with the crowdsourced platform automatically processing selections and coordinating performances. This shifts the scheduling burden from a small group of decision makers to the fan community itself, allowing optimal arrangements to emerge organically from aggregated preferences.
Solution Approach 2:
A crowdsourced platform acts as an intermediary between fans, performers, and venues. The platform receives performance requests from fans, matches them with appropriate performers and venues, and coordinates the logistics. This intermediary layer enables efficient matching across vast numbers of options without requiring direct human intervention in each scheduling decision.
2Device complexity
If venues are scheduled based on limited decision maker choices, then the scheduling process remains manageable, but venues remain vacant and sub-optimally utilized
Solution Approach 1:
The system continuously monitors fan selections and performance requests, using this feedback to dynamically adjust scheduling decisions. By analyzing real-time data on fan preferences and venue availability, the system can optimize venue utilization and fill vacant spots with appropriate performances, improving overall reliability of the scheduling system.
3Device complexity
If a single individual schedules performances, then the coordination process is simple, but the consuming community of prospective concert goers remains unsatisfied in their inability to attend live performances of entertainers of choice
Solution Approach 1:
The system segments the scheduling process into distinct modules: fan request submission, performance matching, venue coordination, and logistics management. This segmentation allows each component to be optimized independently, providing fans with flexible selection options while maintaining manageable coordination through automated processes.
Data Source
AI summary
A secure framework method for coordinating an event performance includes receiving a selection by fans of a performer and a selection of a venue for a performance by the performer on a date certain, receiving from the performer, a cost for the performer to perform at the venue on the date certain, and from the venue, a cost for the performer to perform at the venue on the date certain. The method also includes accessing a user interface to a distributed ledger, and directing, by way of a logical operation of the distributed ledger exposed by the user interface, an embedding of the received costs into an immutable contract. Finally, responsive to receiving a notification of an assenting to the immutable contract by the performer and the venue, a message is transmitted directing a release of crowdsourced funds from the fans to the performer and venue.