AI booking agents help users discover events beyond traditional search

Traditional search engines often struggle when users do not know the specific event, date, or location they are looking for. Now, booking platforms are leveraging artificial intelligence to address this challenge, aiming to help users discover activities and events even when their intent is vague. Nadeem Bakhsh, CEO and co-founder of webook.com, explained that their AI booking agent was developed to add a layer of discovery for users who are unsure of their exact preferences.

Bakhsh stated that while search and filters remain effective for users with clear targets, open-ended questions require a system that can understand context. The platform's AI agent uses natural language processing in both Arabic and English, capable of handling informal requests that include location, preferences, group size, or booking criteria. Users can simply ask for a family activity or something available in the evening, and the system interprets the request to match it with available options.

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search and filters remain effective when users have a clear target. Open-ended questions, however, require the system to understand context before it can surface the right option.

Recognizing that AI systems can make mistakes, Bakhsh emphasized that the agent should ask for more information when a request is unclear, rather than forcing an unreliable recommendation. The official booking page remains the definitive source for availability, prices, and terms. If information changes or tickets sell out, the details presented during the purchase process take precedence. The system is designed to direct users to official event details or human support when it cannot verify information, acknowledging that user corrections can help improve future responses.

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should not pretend to know.