Fit Analytics Blog

Apparel FAQ with Senior Client Partner Irina Sulejmanovic

Fit Analytics’ North American Senior Client Partner, Irina Sulejmanovic, shares her view on common characteristics of companies partnered with Fit Analytics.

Our partners are diverse and varied, but one thing they all have in common is an innovative ethos. In today’s interview, Irina reflects on our journey from ambitious start-up to the industry leader in sizing and fit, and how cutting-edge thinking continues to inform decisions in an ever-changing apparel landscape for Fit Analytics and our partners.

Changes in BTS Clothing Shopping

Back-to-school shopping is sure to look different this year. We analyze the changing trends in retail and present what to expect for this fall season.

As summer draws to a close and the world of fashion launches fall collections, consumers and retailers alike question what back-to-school (BTS) shopping will look like this year. Many parents are still in the dark as to whether school will continue to be held virtually or in the classroom. Due to the uncertainty brought about by COVID-19, retailers know that this year will be a different kind of back-to-school shopping. They are scaling back on normal BTS clothing, like jeans, tees, and sweaters, and placing their apparel bets on loungewear, activewear, and other comfy items to wear while “distance learning.”

Vanity Sizing and Size Charts: A Brief History

The complex and organic evolution of clothing manufacturing has lead to the current state of sizing in today’s garment industry.

“Why isn’t there a universal sizing standard,” consumers cry. Unfortunately, brands can’t turn every frustrated tweet about vanity sizing and the need for clothing size chart conversion into a history lesson, though there is a reason for the size madness. This article aims to shed some light on the sizing problem by taking a quick look at the fascinating history of apparel sizing standards.

How to Increase Sales in Retail

Looking for ways to improve your retail sales? Adopting our size advisor tool, Fit Finder, has been proven to convert browsers to buyers.

Apparel retailers are always looking for new ways to increase sales in retail without losing out on profit. In this article, we share some key tips on ways to drive revenue while protecting your margin.

How Machine Learning Can Improve Your E-Commerce Business

Machine learning is a key way for e-commerce businesses to drive sales, meet their customer’s needs, and differentiate themselves from the competition. In this article, we explain the benefits of adopting machine learning technology.

Machine learning technology is much sought-after by apparel retailers but what is it?

3 Ways Apparel Companies Can Beat Amazon

In this article, we will cover 3 key areas apparel companies can address to strengthen their position against Amazon.

Amazon has caused great uncertainty for the apparel industry. Just when the coast seems clear, another article pops up about the company’s next apparel innovation. With 100+ in-house brands, and services like Amazon Prime Wardrobe and a new virtual fitting room, Amazon gains more traction as a formidable competitor for fashion brands. In the face of COVID-19, the company has even been rumored to be the future savior of luxury, and the possible new owner of bankrupt JCPenney.

Luckily for apparel companies, there is still ample room for fashion retailers to differentiate themselves from Amazon and strengthen their own niche in the fashion world.

What, Why, How, and When: The Omnichannel Experience

The retail industry is at a watershed moment. Retailers have been adopting online experiences for the in-store shopper for years. But now, as stores reopen during a global pandemic, there is the critical need to have a strong omnichannel strategy.

What is an Omnichannel Experience?

Omnichannel retail connects and extends the shoppers’ experience from the e-commerce site, native app, in-store, and any other touchpoint so the experience is seamless across all channels – shoppers may even utilize multiple channels simultaneously.

3 Ways Machine Learning can Improve User Experience in E-tail

In this article, we explain what user experience is and the three key ways machine learning can enhance user experience in apparel e-tail.

Machine learning allows companies to get to know their users in an intimate and non-evasive manner. This technology is being utilized by various industries – the healthcare system, security and of course, apparel retail.

Stay-at-Home Summer 2020 Trends

Summer 2020 trends are changing due to the effects of COVID-19. Shopping patterns are shifting and conversions for key summer items have declined.

Summer 2020 is expected to be unlike any summer we’ve experienced. With stay-at-home orders still in place for some locations and summer trips being canceled due to COVID-19, it’s no surprise that shopping trends have shifted this year.

COVID-19: The Impact on Global Buyer Behavior Follow-up

As a follow up to our latest e-book, we analyzed the data in the first half of Q2 2020 to bring you updated insights on the effects of COVID-19 on the retail industry.

In our recent e-book, COVID-19: The Impact on Global Buyer Behavior, we reported on the 27% increase of first quarter purchases (January 2020 – March 2020), but also noted that we saw a downtrend in purchases as the pandemic unfolded and uncertainty was on the rise with stay-at-home orders. Since our last e-book, the rules towards social distancing have pivoted from complete lock-down to a slightly more relaxed, but still ‘socially distant normal’. Consequently, we felt it imperative to follow-up on how the apparel retail landscape has continued to evolve to safely support shoppers.