Inspiration
Enhancing user experiences through personalized recommendations and data optimization on TikTok.
What it does
A tailored discovery feature in an app that learns from user behavior and preferences to deliver personalized product suggestions.
How we built it
[In Theory] Leveraging machine learning algorithms, analyzing user data, and optimizing performance for scalability and responsiveness.
[What we done] Create a simple prototype of how the proposed featured pages will work and navigate users on TikTok.
Challenges we ran into
Creating the wireframes with little knowledge on using UX Design.
Accomplishments that we're proud of
Creating the Wireframe, and translate it into a functional site (Which how in theory works)
What we learned
Understand better about TikTok Shop, learn to use Figma, use simple programming languages, and problem solving certain areas or assumed loopholes/concerns of our proposed plans.
What's next for Untitled
Continuously iterating, expanding, and refining the proposed Tailored Discovery features, we can solidify its position as a leading tool for personalized shopping experiences, driving user engagement, satisfaction, and ultimately, business growth.
Built With
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