Challenge 6: Implementing AI-Driven Recommendations on Globoticket Platform
As a Product Owner, I want to integrate a recommendation option into the Globoticket website that leverages our event catalog to provide personalized recommendations. This enhancement aims to rejuvenate our platform's image by introducing cutting-edge technology that sets us apart from the competition.
Why:
Innovation Demand: Customer feedback indicates a desire for more innovative features on our platform. Implementing AI-driven functionalities will not only meet this demand but also position Globoticket as a leader in tech-forward ticketing solutions.
Enhanced User Engagement: By offering personalized recommendations, we can enhance user engagement, improve customer satisfaction, and potentially increase ticket sales.
Acceptance Criteria:
AI Recommendation Engine:
Implement an recommendation option, based on the favorite Artist of the customer.
The engine should be capable of understanding what artis matches the events we have on sale and recommend an event that matches the customers music preference. The recommendations are for events occurring within the next four weeks.
Tasks:
[ ] Review and merge the UI component provided by the team in India and integrate in website.
[ ] Develop the recommendations based on provided Artist using Semantic Kernel.
"Any sufficiently advanced technology is indistinguishable from magic." - Arthur C. Clarke
Challenge 6: Implementing AI-Driven Recommendations on Globoticket Platform
As a Product Owner, I want to integrate a recommendation option into the Globoticket website that leverages our event catalog to provide personalized recommendations. This enhancement aims to rejuvenate our platform's image by introducing cutting-edge technology that sets us apart from the competition.
Why:
Acceptance Criteria:
Tasks:
[ ] Develop the recommendations based on provided Artist using Semantic Kernel.