Multiple Size Alert Reduces Returns by 6%

Fit Finder’s Multiple Size Alert feature is proven to reduce multi-size orders for retailers.

As apparel shopping continues to shift from offline to online, more and more customers are forced to adjust to a new way of shopping. During the last 5 months alone, COVID-19 has shortened the timeline for evolution from brick-and-mortar to online from 5-10 years to a matter of months. While consumers are concerned with fitting room accessibility and the fear of shopping in stores, they are now looking to e-commerce to fulfill their shopping needs.

This isn’t a new trend for the retail industry. In fact, according to Statista 59% of U.S. shoppers purchased clothing online between Q2 2018 and Q2 2019. We expect to see that number rise in 2020. 

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[VIDEO] Big Data and Sizing: An Interview with WDR

In this interview with Fit Analytics and Zalando, German news outlet WDR takes a look at how apparel retailers leverage big data to help customers find the right size.

Video | WDR Markt | Aired on 09.09.2020 | By Philip Hinken

The returns problem costs companies money and hurts the environment. That’s no secret. And while online retailers are working to implement various ecommerce solutions to improve the shopping experience and streamline online operations, consumers are also searching for ways they can make better buying decisions. According to a Nielsen study, 3 out of 4 millennial shoppers are willing to spend more for sustainable offerings. With the collective focus shifting from consumerism to sustainability, online shoppers are taking a hard look at their shopping behaviors. In this video report, Westdeutscher Rundfunk’s program MARKT takes a look at how apparel companies leverage big data to solve sizing and shows consumers what sizing solutions are all about. This German-language interview is transcribed in English below.

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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.

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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.” 

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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.

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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?

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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.

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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. 

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