Zara SA - AI powered shopping assistant
Zara SA is an AI powered shopping assistant, a.k.a your new personal shopping sidekick. It is designed to streamline the online shopping journey for Zara customers using the Zara app or website, addressing key pain points around sizing/fit uncertainty, search inefficiency, and price confidence. By delivering personalized size recommendations, curated product discovery, and real-time price optimization, the assistant helps customers find the right products faster, buy with greater confidence, and ultimately enhances customer satisfaction
Problem Space
Problem Statement
How might we increase our revenue by creating a smarter, more personalized online and in-app shopping experience that helps customers quickly find products that fit well, match their style, and align with their budget?
Problem Background
Today's online shoppers struggle when trying to find products that fit well, match their personal style, and align with their budget — all within a fast and intuitive shopping experience. This leads to high return rates, time wasted on irrelevant search results, and reduced confidence in pricing and value. Ultimately, these challenges not only frustrate customers but also directly impact retailers through lower conversion rates, higher operational costs from returns, and lost revenue opportunities. Addressing these pain points presents a critical opportunity to improve both customer satisfaction and business revenue.
Research Insights
User Pain Points
I identified a few pain points from the research and some of these ranged from customers struggling to find the right fit and styles that match their preferences, to sorting through overwhelming product options and feeling uncertain about price and quality. By addressing these issues with a more personalized, intuitive, and seamless journey, we have an opportunity to improve customer satisfaction, reduce friction, and ultimately drive higher conversion and retention.
Supporting Data
- 70% of interviewees said they return items due to fit issues.
- 60% of interviewees want a more intuitive filtering system or personalized recommendations to help navigate choices.
- 4 out of the 5 interviewees said they returned items because they felt cheap for the price they paid.
Landing on the Solution
Based on our target users’ pain points, we knew we wanted to work on the following feature:
- Personalized Fit & Size Recommendations
- Price Optimization
Explanation of Solution
Zara SA is an AI-powered tool designed to help Zara online and in-app shoppers find products that fit their size, align with their unique style preferences, and match their budget — all in a fast, intuitive experience. By combining real-time personalization, fit intelligence, and trend-based recommendations, it transforms the way customers discover and purchase products online
User Flows
Future Steps
Focusing on continuously improving fit prediction, style matching, and price optimization algorithms using real-time user feedback, returns data, and purchase behavior.
Images
Learnings
Product Manager Learnings:
Debbie Oluwaniyi
Co.Lab was a very challenging experience but I am glad that I was able to learn new and important skills that I will definitely take with me on my PM journey.
Designer Learnings:
Designer Learnings:
Jo Sturdivant
- Adapting to an Established Team: Joining the team in week 6 of 8 was challenging, as I had to quickly adapt to existing workflows, dynamics, and goals. This mirrors real-world situations where you often integrate into teams mid-project, and flexibility is essential.
- Work-Blocking for Efficiency: With only two weeks to complete the project, I learned the importance of a structured work-blocking system. This approach allowed me to manage my time effectively and meet deadlines under pressure.
- Making Data-Driven Design Decisions: Unlike my past projects, I had to rely on research conducted by others. This was a valuable experience in using pre-existing data to guide design decisions, helping me focus on the core insights without starting from scratch.
Developer Learnings:
Developer Learnings:
Vanady Beard
&
As the back-end developer, I learned how important it is to create efficient and reliable systems that support the entire application. This experience also taught me the importance of optimising the database and ensuring the backend is scalable and easy to maintain.
Developer Learnings:
Stephen Asiedu
&
As a back-end developer, I've come to understand the importance of being familiar with various database systems and modules. This knowledge enables me to build diverse applications and maintain versatility in my work. I've also learned that the responsibility for making the right choices rests on my shoulders, guided by my best judgement.
Developer Learnings:
&
Developer Learnings:
Maurquise Williams
&
- Process of Creating an MVP: Developing a Minimum Viable Product (MVP) taught me how to focus on delivering core functionalities balancing between essential features and avoiding scope creep.
- Collaboration in a Real-World Tech Setting: This experience taught me how to collaborate efficiently in a fast-paced tech environment, keeping the team aligned and productive, even while working remotely across time zones.
- Sharpening Critical Thinking and Problem-Solving Skills: This experience honed my ability to think critically and solve problems efficiently. By tackling challenges and finding quick solutions, I sharpened my decision-making and troubleshooting skills in a dynamic, real-world setting.
Developer Learnings:
Jeremiah Williams
&
All in all this experience was very awesome I learned that in coding with others being transparent is key
Developers Learnings:
Justin Farley
&
I learned how important communication is when working with a team. Communication provides understanding, advice, ideas, and much more. While working with the product team, I’ve found that communication keeps everything flowing smoothly. Working with a team also showed me that every member brings something different to the table and we all have to work together in order to align and meet our end goal.