According to the National Retail Foundation reports, In 2020, online sales increased by 32.4%, but there were $428 billion worth of returns, causing a $101 billion loss for retailers & in average, per return causes 500g of CO₂ emissions. Interestingly, 52% of these returns are specifically due to sizing issues.
Sizekick’s AI size recommendation tool: BodyFinder & BodyScanner
In September of the previous year, Hohenstein made a significant investment of 1.3 million euros (equivalent to $1.41 million) into Sizekick, an emerging company. Beyond just the financial support, Hohenstein brought to the table their extensive expertise spanning more than six decades in the realms of sizing and fit. This encompasses a deep understanding of measurements, as well as the intricate art of pattern development.
One of the most fascinating aspects is Hohenstein’s vast collection of over 18,000 3D body scans. These scans encompass a diverse range, ranging from infants to fully grown adults. What makes these scans particularly valuable is the meticulous study of the differences in body shapes that arise across varying sizes. This trove of data proved to be the perfect training ground for Sizekick’s artificial intelligence. By tapping into this dataset, Sizekick has effectively trained their AI to significantly enhance the accuracy of the size recommendations it provides to its customers.
“Feedback from the market and future partners in the fashion and sports industries was crystal clear—people are looking to solve a real problem when it comes to sizing,”
David Oldeen, Sizekick CEO and Co-founder
“They need a size recommendation solution that takes into account the fact that users have different body shapes as well as the inherent differences between individual styles and brands. This is exactly what we are offering at Sizekick, and we are taking e-commerce sizing to a new level.”
Online clothing shopping often brings the challenge of finding the right fit, leading to inconvenient returns due to sizing issues. This predicament wastes time, money, and resources for both consumers and companies. In fact, an alarming trend reveals that consumers spend nearly 3 billion hours annually returning ill-fitting clothes purchased online.
Sizekick introduces an AI size recommendation tool using shoppers’ body measurements to reduce size-related returns. The AI-based solution, seamlessly integrated as a web app in online stores, offers users two distinct size recommendation paths: the transformative BodyFinder solution and the video-based BodyScanner approach.
The BodyFinder employs AI algorithms to swiftly propose realistic body shapes, enhancing decision-making in seconds. On the other hand, the BodyScanner allows users to effortlessly scan their bodies using a smartphone, requiring a simple 360-degree turn in front of the camera.
The BodyFinder employs AI algorithms to swiftly propose realistic body shapes, enhancing decision-making in seconds. On the other hand, the BodyScanner allows users to effortlessly scan their bodies using a smartphone, requiring a simple 360-degree turn in front of the camera.
“At our core, Hohenstein studies how textiles interact with humans and the environment, including topics like ergonomic comfort, body shape and sustainability.”
Jan Beringer, senior scientific expert at Hohenstein
“Sizekick’s approach combines accurate body measurements from each user with Hohenstein’s extensive garment knowledge. We are confident that this approach can sustainably reduce returns in fashion e-commerce.”
Rrrevolve, Black Diamond, Avocado Store, Marc-cain, Olakala and many more brands are currently using this technology
Sizer’s AI powered body measuring technology
Sizer’s body measurement and sizing platform utilizes AI technology and deep-learning algorithms to effortlessly determine a customer’s accurate body measurements. Sizer claims that, the accuracy rate of thier solution is 97%.
Through a simple scan using the front camera of a mobile device, the app provides personalized and precise sizing information tailored to the individual’s unique fit. This exceptional accuracy significantly diminishes size-related errors, enabling shoppers to confidently shop online while also assisting fashion companies in enhancing their value chain and advancing sustainability initiatives. According to sizer, in e-commerce industry, conversion rate would be increased 2.4x times just by using this technology. With this solution, brands can get analytics, insights and data sets to optimize product design and improve inventory planning.
These AI technologies can easily embedded into online store, customers can easily find out their right sized dress and it will significantly reduce return rate of online shop.
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