The objective of this thesis project was to enhance Walmart's online shopping experience by refining the AI-driven product recommendation system, aiming to deliver personalized, relevant, and user-friendly shopping experiences that increase customer satisfaction and align with Walmart's business goals.
Context
to identify the gaps in Walmart’s current system and redesign it to offer more personalized and relevant product suggestions, combined with personalized deals, ultimately enhancing the overall user experience and supporting Walmart’s goal of saving money for its customers. Details
Time Frame:
4 months
Role:
UX Researcher and UX Designer
Tools:
Figma, Miro, Survey Monkey, User Testing, Dovetail.ai, Google Spreadsheets, Visily.ai, Attention Insight
Responsibilities:
UX Research,UX Design, Competitive Analysis, Data Analysis, Prototyping, Usability Testing, Performance Metrics Evaluation, Project Management
What was the gap?
Its limited capability to dynamically adjust recommendations based on individual user behaviors and preferences. Unlike competitors like Amazon, Walmart's system lacked the depth to offer truly personalized shopping experiences, which was evident from testing how product suggestions varied with user interactions.
How solution will benefit Walmart?
Enhancements to the AI recommendation system can be designed to improve user engagement by providing more accurately personalized product suggestions. This improvement not only aims to boost customer satisfaction and loyalty but also increase Walmart's competitive edge in the e-commerce market, potentially leading to increased sales and better customer retention.
Research and Analysis Process
Recommendations
Prototypes
Generic Search Prototype:
Check out generic search prototype, designed to aid users in exploring and comparing products effortlessly.
Specific Search Prototype:
See how specific search prototype simplifies finding exact items quickly, enhancing user efficiency.
personalization strategies within Walmart's digital experience by testing and analyzing user behaviors on the home, search, and cart screens. It identified actionable design elements, such as dynamic recommendations and visually engaging layouts, that improved user satisfaction. These insights provide a strong foundation for enhancing Walmart’s personalized shopping experience while aligning with business objectives.