Automated Event Ticketing

By automating ticketing systems with AI, organizations can offer personalized purchasing experiences, dynamic pricing models, and enhanced customer service, improving the overall ticket purchasing process for events. This use of AI in ticketing systems addresses significant challenges such as ticket fraud, scalping, and inefficiencies in sales and customer service, ensuring a more secure, efficient, and user-friendly experience for event-goers.

Use Case
AI Technology
Arts & Entertainment

Handling tickets for arts and entertainment events through a manual and rule-based system requires time-consuming processes which rest solely on human availability to deliver a satisfying customer experience. Backlog can build up, and if customers feel they are waiting too long for an answer, they may create duplicate tickets, resulting in a vicious circle of backlog and inefficiency.


Where manual email and traditional rule-based even ticketing fall short, AI-powered automated event ticketing systems provide omni-channel, tailored support for each customer by optimizing the ticketing process with the following key features:

  • Ticket Prioritization: When a user raises a ticket, AI integrated systems investigate the ticketing history, identify similar requests, then apply relevant variables to analyze the severity of the request and prioritize it accordingly.
  • Smooth Ticket Assignment: With the large volume of queries and tickets generated every day, it becomes a difficult task to assign the tickets to relevant support teams to resolve the issue. AI analyzes historic ticketing data and identifies the relevant experts to whom the tickets can be assigned.
  • NLP-Enabled Ticketing: Natural language processing (NLP) capabilities as part of AI can be implemented to identify the language (words) used in the user tickets, understand the context and allocate it to relevant professionals. This is beneficial for MNCs who are bound to handle queries from various territories where users speak different languages.
  • Cognitive Automation: With possible ticketing tasks automated and replaced with modern technologies, the users can get services as per their convenience and requirements. This way, users need not wait for a long time to get resolutions for their issues, especially for repetitive and common queries.

AI is becoming an indispensable part of event ticketing systems today, minimizing errors caused by human intervention, reducing incidents, and ensuring a quick turnaround time on resolution. Some key benefits implemented by the integration of AI in event ticketing systems are:

  • Budget-Friendly: Accomplishing tasks through the traditional (without AI) ticketing system can take a long time and may not be economical. AI-enabled automated ticketing system helps cater to service requests and resolve them within a short time, making it an affordable option.
  • Streamlined Ticket-Booking Process: AI can streamline the ticketing and registration process, improve accuracy and efficiency, and help maximize revenue with strategies like dynamic pricing or personalized promotions.
  • Long-Term Satisfaction: The AI-enabled ticketing process enhances user experience, increases employee productivity, and ensures quick, reliable, and consistent resolutions.
  • Automated Verification through Email: With AI, emails can be automated so that each incoming request is properly tagged according to the customer need, their case updated with the most recent information and requests, and finally, an automated reply with contextual information can be sent to the customer.

Techstacks Used

Technologies and Tools
NestJS, Hardhat, Redux, OpenZeppelin, ReactJS, NodeJS ,Solidity, MongoDB, C++, PostgreSQL, EthersJS, ReactNative, AngularJS, Commo, GraphQL, TypeORM, NextJs, ETH, Redis, Metabase.

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