Moscow

Wildberries

e-commerce

ecosystem

fashiontech

Texel

The solution is a virtual fitting room with 3D models of people, created using Texel software and internally developed 3D scanners.



3D scanner dimensions are as follows: d=2250 mm, h=2580 mm; scan area: d=1200 mm, h=2200 mm, scanning time - 30 sec, model preparation time for display - 1 min, model preparation time for 3D printing - 5 min, flow capacity - 17-40 people per hour, frame speed - 0.05 spins per second, power consumption of a 3D scanner with a computer - 600-700 Watts, 3D model formats: FBX, OBJ, VRML, PLY, STL, detailed texture of 3D model - 1 mm, number of polygons - 1 mln.

System of human body 3D scanning for clothes online retail 

retail

Sizolution allows the customer to choose the optimal size and shows in detail the garments that will suit the client. Sizolution reduces product returns for retailers and increases the conversion of the visitors into buyers, and also increases the customer satisfaction and loyalty. Sizolution provides recommendations in the widget on the website of in retailer’s mobile app.

Service for right size clothes selection in online shops

online_service

artificial_intelligence

Sizolution

Verisium gives the opportunity to reveal the brand and collection creation history, to offer customers various bonuses, which is provided by scanning the NFC chip sewn into clothes. Verisium allows to determine authenticity - verification occurs when the chip is scanned by a mobile app.

The protected NFC chip contains information about the product - price, manufacturing materials, history of the collection creation. Verisium is based on the blockchain in the Microsoft Azure cloud.

Verisium is a part of the Kaspersky Lab business incubator.

cloud_computing

blockchain

Verisium

Yandex

Sloy automatically recognizes pieces of clothing the people on camera are dressed in and allows to try on virtual accessories and masks. The service has subscription feed and recommended videos.

When the user clicks on the video he sees detailed information on every piece of clothing and other videos featuring similar styles. Every garment from the video can be discussed with other users in the app.

In February 2020, Yandex announced that the project will be further developed as part of the <a href="https://ict.moscow/en/card/yandex-zen/">Yandex.Zen</a> platform.&nbsp;

Clothes recognition service based on augmented reality

mobile_application

Sloy

TRY.FIT allows the customers to choose the most suitable shoes by style and size in both retail shops and online shops. The service functionality is online shoe fitting based on comparing shoe lasts and human feet 3D models. TRY.FIT makes it possible to take feet measurements in the mobile app and use them in the partner’s shops, so the user can choose a comfortable pair of shoes taking into account the anatomical characteristics and individual characteristics.

The selection process is based on the digital modelling of shoes wearing process. For the chosen models have a FIT RATE comfort indicator, which allows to compare the shoes. To be sure the user can try the shoes on virtually by looking at the interactive image on the foot with the chosen shoe model on, the comfort and discomfort zones will be marked with different colours.

TRY.FIT

Next2U is an online platform where the user can place an advertisement to rent goods. The user can save money on shopping and make money renting the dresses, bicycles, tents, devices or children toys you do not need or rarely use. 
The service also guarantees a safe transaction.

Tech Solutions

Wildberries

Texel

Sizolution

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Verisium

Sloy

TRY.FIT

Next2U

Tech Solutions

Wildberries

Texel

Sizolution

add your project!fill out the form

Verisium

Sloy

TRY.FIT

Next2U

add your project!
fill out the form