June 29, 2022

How to solve fitting issues for online apparel Shopify stores

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Global retail sales of apparel and footwear are about to reach 2 trillion U.S. dollar, and were expected to rise to above three trillion U.S. dollars by 2030, the fashion industry is booming. Much of this growth is taking place online, with Shopify clothing stores playing a big part. There are more than four hundred thousand stores that live in Shopify apparel category and it keeps increasing. But many of those stores have the common problem, it is a customer’s fitting problem. While sizing is the first priority customers think of when they do online clothes shopping. Online clothing stores are facing high return rates and customers are not confident to buy without having a chance to try their clothes. They relied on a size chart which has proven that a size chart alone is not the solution as many stores have a high rate of return. This size chart places a burden on customers who may not even have a measuring tape to size themselves up with or don’t know how to do it correctly.

Clothing stores need a reliable tool to help improve sales at a lower cost. They would choose to be able to provide more accurate measurements for the customers, lower return and less complaints to handle. Also, less inquiries from customers about the sizes.

So, the solution for apparel ecommerce store is to move on from using those outdated sizing charts or costly unreliable technologies, and instead just get the size recommender application Envision Size & Fit Analyser.

What is Envision Size & Fit Analyser and how does it work?

It’s a smart size analyzer application that guides customers to buy the right size. Customers can get an accurate size analysis in under a minute, wherever they may be in the world. They just need to answer simple questions, like their height, weight, typical sizes, and body shape. No size charts, or tape measures required.

This application uses artificial intelligence-driven (AI) analyzed tens of thousands of bodies and developed predictive models that are over 97%+ accurate for 50 detailed measurements. They Couple this with their expertise in garment fit. Through research, they’ve learned that you don’t need much data to achieve high levels of accuracy.

Shoppers would definitely feel confident in searching for the right products for themselves. They will be able to get the best recommended size and see how the garments would fit them virtually. They would rely less on the reviews and focus more on what fits them best. Also, they will be more confident to revisit the site and make more purchases in the future.

By accurately predicting the best size for customers and showing exactly how that size will fit their body, this application gives customers the confidence they need to comfortably make a purchase. Customers are able to meet their fit expectations before they click ‘buy’, ensuring there’s no unwelcome surprises, and therefore returns, when they finally try the garment on. Customers have more confidence in making a purchase when they are shown exactly how the product will fit them. No more guesswork by helping shopper pick their right size with a simple and smart questionnaire.