Case study of a trial centric hyper-local fashion e-commerce app

Akshay Mehta
5 min readOct 26, 2021

“What if you could try on clothing before purchasing it through an e-commerce app?”

Note: This is a side project and not associated with myntra in any manner.

Details for this case study:

Timeline: 2 Weeks

Tools used: Figma, Illustrator

You went to an e-commerce app and found a lovely sweatshirt. A few questions ran out of your mind before checking out. Is this sweatshirt the right size for me? Is it going to be too small or too big? what if the colour came out to be faded? Regardless, you chose a size and colour that seemed about right and crossed your fingers. Your package finally arrived after several days. You eagerly tried on the sweatshirt but eventually, it came out to be large.

Problem Statement 🧠

Fashion e-commerce companies like Myntra today offer the choice to the user from lakhs of items but they also face issues in returns due to the product not being according to the expectations of the user.

There is a new feature in the myntra app that lets you try the product before buying it. This feature shows you limited products but you can order those products and they will be at your home for trial in the next 1 hour. They charge you a mere Rs. 30 as the trial fees. In case you buy the product, the fees get adjusted in the price.

Visualization

The goal of this project is to design the product details page, the cart screen where some products have been added for trial, and the post-request journey screens.

My Design Process

1. Research🔍

n this section, we’ll delve further into the problem’s knowledge and articulate the problems related to trial and exchange I’ll also discuss the concept of hyperlocal.

1.1 Understanding the problem

I began by addressing some secondary research-level issues that would aid in my understanding of why we are working on the idea of hyperlocal.

Customers’ frequent returns and exchange requests due to incorrect product sizes, Fabric Quality, or product colours are causing the business to lose money. These might result in negative feedback and a lower client retention rate. With this issue statement, the company’s ultimate aim is to decrease product returns, pickup, and re-delivery expenses, improve customer evaluations, and raise customer retention rate.

Because of the challenges encountered on both sides, I attempted to identify what a user and a business are seeking.

1.2 Primary goal

To address the aforementioned issue, I implemented a new option known as “Try first, pay later” using the concept of hyperlocal. This feature shows you limited products but you can order those products and they will be at your home for trial in the next 1 hour. They charge you a mere Rs. 30 as the trial fees. In case you buy the product, the fees get adjusted in the price.

1.2 Concept of Hyperlocal

Hyperlocal refers to all businesses in your vicinity, the nearby General merchant, Restaurant, Market, Mall, and other products and service providers. Hyperlocal platforms solve the problem of matching immediate demand with the nearest available supply in the most optimized manner.

2. Process flow

3. Wireframes

One of the most important phases of the design process was moving on to the wireframe. Following the determination of the process flow, I attempted to generalize how the information will flow on each screen. I used the notion of crazy 8 to generate ideas. After a few iterations and consistent designs, I’ve discovered the following eight screens:👇🏻

low fidelity wireframes

4. Design

The next phase in the process is to create a clickable prototype for people to test. After going through all of the design stages, I was ready to develop the user interface based on the research and competitive analysis comments and data.

Prototype

5. Conclusion

Although this was my first time working on a UX project, it was a great learning experience. I was able to try a lot of new things that I had never tried before, as well as learn some new skills.

Key learning from the case study:

  • Importance of targeted user.
  • Make the problem more precise.
  • Iterate more and more.
  • To draw parallels between a digital product and a real-world scenario

THAT’S A WRAP

Thank you for being with me till the end of this story.

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