The Obstacle
The e-commerce app is facing a significant issue with the quality of product recommendations, which is negatively impacting the user experience. As a result, users are becoming frustrated and are less likely to trust the recommendations provided by the app.
This problem is particularly concerning as product recommendations play a crucial role in the success of an e-commerce platform. They help guide users towards items that align with their interests and needs, and can significantly influence purchase decisions.
If the recommendations provided by the app are not relevant or helpful, it can lead to a poor user experience and decreased sales.

Our Winning Strategy
The current design made it difficult for users to adjust their preferences and customize their recommendations, leading to a lot of frustration and abandoned shopping carts.
To fix this problem
- I redesigned the app’s user interface to make it easier for users to manage their preferences and customize their recommendations.
- I added a dedicated section in the app’s settings where users could specify their interests and adjust the types of recommendations they receive.
Site Map

Wireframes



Design System


Typography
Grid


Typography

Grid


Upgrade your shopping experience with flexible recommendations
Manage your personalization options and adjust the recommendations you receive.


Shop smarter with tailored product suggestions
One key feature of our app is the advanced recommendation system, which uses machine learning algorithms to suggest products based on the user’s past purchases and browsing history.


All in one Wishlist
Our e-commerce app aims to cater to both personal and professional needs by offering a wishlist feature for users to save and organize products for different purposes.

Sign up in seconds
Our app is designed to provide a hassle-free shopping experience for our users, starting with a quick and easy sign up process.

Shop with confidence
Upload your own photo to see products in action

Shop smarter
Choose your interests to get relevant product recommendations