One of my favorite projects I've worked on is an AI-powered recommendation feature for a shopping app at my previous job. Its primary role is to offer users personalized product recommendations based on their past browsing activities and purchases. Initially, we recognized the significance of personalizing the user experience, as it helps engage users and encourages them to use our app repeatedly. As the product manager, my first action was to gather requirements, collaborate with stakeholders, and assemble a team comprising developers, designers, and data scientists. The main challenge we encountered during this project was ensuring the recommendations were accurate and relevant. We needed to thoroughly analyze user data and behavior to ensure that the AI effectively reflected user preferences. I played a significant role in planning and supervising the testing phase for this feature. After multiple rounds of testing and improvements, we were able to enhance the accuracy of the recommendations by approximately 22%. This also led to a substantial increase in user engagement. I take pride in the final outcome, as it had a direct positive impact on the company's bottom line.