AI Ideas for E.G.#
As part of my work with AI-driven applications, I looked at how a place like E.G. could benefit from digital solutions and AI. E.G. hosts larger events where visitors, stallholders and staff need access to practical information before and during the event.
One of the main challenges is that many people often ask the same questions. These can be questions about opening hours, prices, location, rules, the program, food options or how to apply for a stall. Today, this type of communication can take a lot of time if it has to be handled manually.
Chatbot for visitors and stallholders#
One possible solution is a chatbot that can answer frequently asked questions. The chatbot could help visitors find information quickly without having to search through several pages on a website.
For example, the chatbot could answer questions such as:
- When is the event?
- What are the opening hours?
- What does the entrance cost?
- Are dogs allowed?
- Where is the event located?
- How can I apply for a stall?
- Who should I contact for special questions?
This would not replace the people behind the event, but it could work as a first point of contact. If the chatbot cannot answer the question, it can guide the user to the correct contact person.
Booking support for stallholders#
Another system E.G. could benefit from is a more structured booking or application system for stallholders. Instead of handling everything manually by email, stallholders could fill out a digital form with their information, product type, contact details and special requirements.
AI could help by sorting or categorising applications. For example, it could help identify whether a stallholder sells food, handmade products, decorations or something else. This could make it easier for the organisers to get an overview and select a varied group of stallholders.
Visitor flow and crowd information#
Since larger events can become very crowded, another useful idea could be a system that helps visitors choose a better time to arrive. If E.G. had data from previous years, such as ticket scans or visitor numbers by time of day, AI could help predict when the event is usually most busy.
The chatbot could then give helpful suggestions such as:
“It is usually busiest around midday. If you want a calmer visit, it may be better to arrive early or later in the afternoon.”
This would require data about visitor numbers, but even a simple version based on experience from previous years could be useful.
AI support for developers#
AI could also help the developers working on these systems. For example, AI tools can assist with writing code, creating test data, improving user stories and generating acceptance criteria. It can also help developers understand how users might interact with the chatbot and suggest improvements to the flow.
For a project like this, AI could be useful during both the planning and development process. It can help turn user needs into concrete features, such as chatbot questions, booking forms or admin dashboards.
Possible systems E.G. could benefit from#
Some useful digital systems for E.G. could be:
- A chatbot for visitors and stallholders
- A digital application form for stallholders
- An admin dashboard for managing applications
- A visitor information system with opening hours, prices and rules
- A system for analysing visitor flow and busy time periods
- A simple content management system for updating event information
Reflection#
Working with this case made me think about how AI can be used in a practical and realistic way. The goal is not always to build a very advanced AI system. Sometimes the most useful solution is a simple chatbot that saves time and makes information easier to access.
For E.G., AI could support both the visitors, the organisers and the developers. A chatbot could reduce repetitive questions, a booking system could make the application process easier, and visitor data could help improve the event experience.
This shows how AI can be used as a helpful tool in real projects, especially when it is combined with clear data, user needs and a well-defined problem.