Minimize
the negative impact on the environment
by creating effective fashion production systems

Reduce your carbon footprint and reduce costs

Significant reduction in CO2 emissions due to reduced overproduction and a multifold reduction in returns of ill-fitting clothing and shoes for online trading

Digitalization of fashion and increased production efficiency

One of the key points of fashion digitalization is the implementation of modern advanced technologies in the field of sales and manufacturing. OpenSize E-Fitting is just such a technology — digital fitting based on the method of comparing digital twins: “electronic twin of clothes and shoes” and “electronic twin of the buyer.” OpenSize has developed and patented a method for creating high-precision 3D digital twins of clothing and shoes and digital twins of the body.

OpenSize E-Fitting, is a reliable, efficient and fast way to shop online for clothing and footwear, an excellent solution for increasing online sales and significantly reducing returns of ill-fitting clothing and footwear. Digital data on comfortable and uncomfortable clothing and footwear is used for subsequent reverse engineering, which drastically reduces overproduction and directs brands to target production for buyers in local markets.

OpenSize
Product Ecosystem

Attract and make more customers loyal with the OpenSize mobile platform

OpenSize e-fitting tends to be comparable (competitive) in accuracy to physical fitting of clothing and shoes in a brick-and-mortar store. In the near future, online shopping for clothes and shoes will become the norm for most buyers. The option to use the service entirely in the mobile version opens up wide opportunities for the brand to geographically scale the brand, plays a beneficial role in the growth of conversion and consumer loyalty, and significantly increases sales income.

loyal_custmr

Digital twins of shoes and clothing

To study the digital comfort of brand products and subsequent reverse engineering, OpenSize carries out 3D digital measurements of the internal volumes of samples of manufactured clothing and shoes. High-precision digital twins of the internal topology of clothing and footwear models are measured and created in OpenSize industrial certification labs immediately after production. Measurement labs are located in the places where shoes and clothing of world brands are produced, which simplifies logistics.

e_twin_shz

E-Comfort Certificate for Clothing and Footwear

E-comfort certificate for clothing and footwear models serves as additional standards for efficient production

e_comf_cert
e_comf_cert

OpenSize mobile platform
is the path to the world of e-fittings and online shopping

Try the 3D Foot Scanner mobile app from OpenSize, check the reliability of the digital try on and build trust in the service

e_fit_on_scrn

OpenSize, NFT and Meta-Universe

Open Size E-Comfort Certificate for clothing and footwear fits seamlessly into NFT, along with identification of the authenticity of products and manufacturing history
E-comfort can play a significant role in the overall process of digitalization of the fashion industry and act as a bridging element in the structure of the Meta-Universe

OpenSize is a powerful tool to improve fashion production efficiency and sustainability

OpenSize is based on technology that combines into a single cycle a parameterized and statistically based assessment of comfort by the consumer, his digital anthropometric data and digital parameters of the internal topology of shoes and clothing, taking into account materials

Ensures your business is compliant with EGS requirements and improves the performance of your Carbon Handprint Metric

Reduces returns for online sales to below 10%

Increases income through sales growth

Provides certified parameterized data for reverse engineering of shoe lasts and patterns of comfortable models for different local markets

Increases conversion to over 50%

Maintains high level of customer loyalty

Fill out the form to schedule a free demo with an OpenSize expert

I would like to receive more
information on the topic:

happy_cstms
happy_cstms
happy_cstms
happy_cstms
happy_cstms
happy_cstms
happy_cstms
happy_cstms