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CLOUD-BASED
AUGMENTED REALITY
VIRTUAL FITTING ROOM
FOR APPAREL BRANDS AND RETAILERS
www. fittingreality.com
September 13 2
Contents
1. Executive summary
2. The opportunity
3. Fitting Reality’s Solution
4. Strategy and competition
5. Where we are and where we are going
6. Team
EXECUTIVE SUMMARY
September 13 4
Fitting Reality is a cloud-based virtual fitting room that offers its customers a unique
interactive shopping experience solving their FIT/SUIT dilemma. Fitting Reality addresses
the very basics of retail industry through creating new standards of tomorrow’s fashion
retail.
Executive summary
US market of apparel &
accessories reached $400bn in
2012 . Only about 10% of sales
were made online.
70% of shoppers would not buy online since they can’t try
on clothes before buying. 80% won’t purchase online a
second time because of poor shopping experience.
Apparel & accessories is the 2nd
largest online commerce category
with expected growth of 17% in
the next 3 years.
Fitting Reality introduces a unique
virtual fitting room that gives online
shoppers a seamless experience
similar to an offline store.
With complex mathematics and
physics at the core of its technology
Fitting Reality offers online retailers
and brands a scalable, easy to
implement and cost effective
platform that improves their
customers’ experience.
Fitting Reality is on track to
become the industry standard for
virtual fitting due to its scalability
and multi-platform.
We seek $2
mln to reach
break-even
in 2015
The opportunity
September 13 6
Apparel & accessories is one of the fastest growing online
markets in the US
• Apparel & accessories is the second largest category of goods sold online after computers & electronics
(with 20% of total e-commerce market)
• Still, only 10% of clothing is bought online and it is the fastest growing e-commerce category with expected
CARG of c. 18% in 2013-2016 (vs. forecasted offline apparel CAGR of c.2%)
2010 2013* 2016*
28 54.2 87.8
* Figures for 2013 and 2016 are projections. Source: eMarketer, Apr 2013
US apparel and accessories retail e-commerce revenue from 2010 to 2016
(in billion U.S. dollars)
September 13 7
Brands and retailers are boosting their spending on technology and
digital marketing to compete in a dynamically changing
environment
• According to a recent research by Forrester, 56% of
e-businesses are planning to increase their spending
on commerce-related technology in the next year.
• Brick and mortar retailers are also ramping up their
efforts as their online sales are surpassing offline and
becoming their main business drivers.
…Online vs. offline GROWTH
…M-commerce
Nordstrom is planning to spend on
technology $375 mln or 15% of their
capital budget till 2016 as well as
investing in on-line retail start-ups
Online sales increased 21% year over year
in the second quarter of 2013 for
Abercrombie & Fitch Co. while total group
sales declined.
…AUGMENTED REALITY
…customization
…social shopping
September 13 8
However, most people still prefer to buy offline –
online retailers cannot give a matching experience
c. 90% prefer to
shop offline to use the
fitting room
14% of on-line purchasers
are not satisfied
c. 21% purchasers
return clothes bought
on-line
… because 1. People cannot see, touch and feel the product.
2. People have problems choosing the right size/fit due to lack of uniformity
in apparel sizing even within one manufacturer
3. Shoppers are seeking for the personal impact and inspiration from the
creation personal looks and, they want to mix and match items on
themselves.
Many people are
still unhappy
buying online…
September 13 9
As a result, online retailers are loosing money and
customers..
• Uncertainty if it “suits”
and “fits”
• Poor fit / wrong size /
“unpleasant” fabric
• 70% of shoppers are searching online
but don’t purchase, since they can’t try
on clothes before buying
• Return rate for online retailers vary at
25-40% of revenue
• Ordering multiple sizes – higher
working capital cost
• Unhappy customers – decrease of
loyalty, lower repeat orders, lower
conversions
All the above leads to higher costs and
lower margins for online retailers
September 13 10
Many are working on this challenge
Aim to:
•Improve returns
•Increase conversion
•Make customer happier
– increase repeat
purchases
3D-avatar fitting -
Size advisor
Zugara
Styko
Metail
Style guide –
Magic
Mirror
Augmented Reality fitting
H&M, Showrooms.ru
DRESSFORMER
September 13 11
But the problem still remains
… all existing solutions are far from offline experience:
requires to print out a measuring kit and measure oneself
only 2% of items are modeled, the remaining are shown
based on similarity
Too complicated and/or
time consuming
Not easily accessible,
especially via mobile
Too expensive for
small/medium e-
retailers
can’t be used on mobile/tablet due to using MS Kinect
technology
cost/accuracy of modeling are prohibitive for most
retailers/brands – especially in mass market or in fast fashion
specific requirements for measuring (standing in certain
background, exactly 4 meters away from a laptop)
requires physically going to a shopping mall to make a body
scan
SOLUTION
September 13 13
Our solution – customers can “try on” clothes on-line!
September 13 14
How does it work for the customer?
1. Upload a photo (existing or new)
2. Enter your height (just once)
3. Register via Facebook and save your ShapeID
4. Start “trying on” clothes in every on-line shop which works with Fitting
Reality using your ShapeID
http://youtu.be/HS6uXTVX2DQ
September 13 15
It is quick and hassle-free –
just see your photos in new
garments
Makes shopping online more confident: helps
solve the “DOES IT SUIT ME” problem – not
only size fitting
It is VISUAL – gives freedom
to experiment, mix and
match, search for your own
style and share with others
Makes online
shopping really
personalized
Can be used
everywhere, on
any device – web,
mobile.. and
SmartTV
Fitting Reality makes the online fitting a seamless
experience: try on clothes like in a real store
September 13 16
Cost effective solution: low implementation cost, low support cost,
lower returns by customers
Scalable: can be used by online retailers of all sizes
Quick to set up: for small retailers the platform can be implemented
even in 1 day
Data reach: collect and use data insights about your customers based
on individual ShapeID information and history of purchases
For e-retailers and brands – Fitting Reality is the first
platform able to provide a scalable and accessible
solution for mass market, ready to become an industry
standard
Advantages
for retailers
Advantages
for brands
Higher Brand Loyalty
Better consumer insights – know what your customers want/who your
customers are
Every $1 spent on Fitting Reality virtual fitting room will bring
you additional sales of $20-$55 depending on the store size
September 13 17
How does it work for online stores
Web-interface to upload
photos of clothes and
receive code of “Try on”
button
Easy to set up the “Try on”
button of the web-page of
a product
Technical support and
quick integration of a
solution (starting from
1 day)
Possibility to further
decrease costs by creating
the 3D models in-house
Strategy and competition
September 13 19
Market segmentation and focus
Large online retailers
& brands (c. 1000 stores)
Small online retailers
& brands (c. 150,000 stores)
High street Mass market
September 13 20
Our strategic focus is to start working
with small and medium online retailers
and brands, since there is no
competition in this segment for the
moment.
When we accumulate critical amount
of ShapeIDs, we’ll target “big fish” to
become an industry standard.
Strategic focus
Large online retailers
& brands (c. 1000)
Small online retailers
& brands (c. 150,000)
High street Mass market
September 13 21
Opportunities to capture beyond core value proposition
For online retailers:
ShapeID database - customers’ database, sales analytics and insights,
retargeting based on the customers’ personal preferences
For customers:
Digital IP cameras (Smart TV, Kinect, etc.) - video and real-time fitting in-
house using digital IP cameras technologies
Personalized stylists’ advise based on ShapeID, blogs, social networks, mobile
apps, etc.
For developers / agencies:
Development of mobile applications (fashion, games, socializing)
Google glasses implementation
For offline stores:
Offline virtual fitting rooms in bricks-and-mortar stores
September 13 22
Fitting Reality positioning against competitors
Mass market/
fast fashion
Developers
Scalable
Easy to use and integrate for
online retailers; simple and
cheap process of creating 3D
models of clothes
Can be used on all
platforms (web,
smart phone,
tablet, Smart TV) to
shop at home, in
the office, in the
airport, etc.
Data centric approach
allows to create truly
personalized experiencesOpen platform for
developers to build their
own applications
FR offers an affordable
solution for all kinds of
brands and retailers - a
technology that can be
easily spread due to low
cost of implementation
and further support
FR focuses on mass
market: fast fashion
brands, small and
medium sized online
shops, blogs etc.
Accessible
September 13 23
Exact size match User-aided no yes yes
Virtual “try on” option yes ”place against” no no
Mix & match yes yes no no
Video in progress no no no
Ability to use on mobile/tablet yes yes no no
Analytical reports availability yes yes yes no data
Cost for on-line retailers low low high not appl.
Implementation time from 1 day from 1 day 40-50 days not appl.
Ease of use Upload 1 photo Special requirements
for background and
distance
Print out a
measuring kit and
measure oneself
3D body scan
using special
equipment in
shopping mall
Fitting Reality: key differentiators from competitors
Capital raised to date $1,8 mln - $ 9,8mln $ 30mln
FunctionalityTime&
cost
Ease
Zugara is our closest analogue, but their service requires specific equipment and a
camera position - thus is more prohibitive for end users.
September 13 24
How we monetize
* Targets for the end of FY’15
**Cost savings would be gained going forward due to:
1) optimisation of software;
2) economy on scale;
3) outsourcing ShapeID creation to be done by customers themselves.
Online Stores*:
Small (≈30K unique
users; 30K of revenue)
Medium (≈200K
unique users; $216K of
revenue)
Large (≈2500K unique
users; $3000K of
revenue)
% of store revenue 5% 3% 2%
Monthly revenue per store ($) 315 1 134 8 400
Costs per store** ($) 129 429 1 696
Profit per store ($) 186 705 6 704
Addressable market for FY’14-15
(stores)
2 500 100 10
Target market for FY’14-15 (stores) ≈150 000 ≈50 000 ≈1 000
September 13 25
Go-to-Market Strategy
Low customer acquisition cost – no
need for large direct sales force,
main focus on seamless of self-
service through website
Focus on mass market
(small e-retailers and
brands) to build market
share and ShapeID
base, gather customer
analytics
Use website as main channel to
work with clients – 24/7 sales
approach: customers can
subscribe and start using FR via
website in just a day
Create the buzz and
spread the word Use of affiliates and
partners in web
commerce solutions
market (e.g. Insales)
Get BIG FISH Accounts
through direct sales
efforts
WHERE WE ARE
And where we’re going
September 13 27
Where we are
Our key achievements to date include:
Research and development
of the product
Early adaption
projects and first
sales
Marketing
research
Fall 2011 2012 Spring
2013
September
2013
Business
concept
development
and fund
raising
Marketing
research in
the USA and
Europe
Launching a
beta version
of the
product
Opening a sales
office in the USA
September 13 28
Where we are going
By the end of 2013 2014
201
5
• $1,8 mln invested into
technology development
• Pilot tests with 12 online
retailers in Russia completed
• 6,000+ ShapeIDs
• $670,000+ revenue
• API open for developers
• 380+ online retailers
worldwide using virtual
fitting room
• 170,000+ ShapeIDs
• Website traffic: 50,000+
unique users per quarter
• $7 mln+ revenue
• 2500 small, 30 medium
and 3 large retailers
using virtual fitting
room
• 2 mln ShapeIDs
• Website traffic:
160,000+ unique users
per quarter
We are looking for $2 mln from an investor with
expertise in building international technology
companies
OUR TEAM
September 13 30
Experienced Technology and General Management Executive with
substantial entrepreneurial experience
Startup Access, MIT Enterprise Forum of Russia, Abrys Consulting /
AB Systems
Minerva Capital Partners, Webiki.ru, Sloan School of Management
Massachusetts Institute of Technology
President, Co-Founder of one of the biggest system integrators in the Russian North-
West. RAMAX International employs over 200 qualified professionals in its three offices
in St. Petersburg and Moscow. Annual Turnover (2012) - $65 mln
Founder of Integro Technologies Ltd. (www.integrotechnologies.ru), software
development, deployment and post-sale support for logistics, aviation, transportation.
Total revenue (2012) – $18 mln
Co-founder and investor - POCHTOMAT (www.logibox.ru), an integrated network of
automated post-offices.
Lev Razumovskiy
Investor
Sergey Gribov
Advisor
Our team
Alexey Streltsov
Technical Director
7 years in software development. Alexey’s
skills and expertise: C++, C#, Objective-C
programming, Java, Server Architecture,
Algorithms, Math, Software development,
MySQL, Agile, Distributed Systems
Emin Aliev
Business Development, USA ,
Lumata (ex-Buongiorno), State
University of Management
(Moscow, Russia), GUU
Mindshare Interaction, New Age
Training NYU
Inga Nakhmanson
Co-founder and CEO
Inga founded the first augmented
reality developer company in Russia in
2009 - AR Door. The company has
successfully implemented more than 40
projects for big brands both in Russia
and abroad
Inga Nakhmanson, CEO
+7 916 332 65 03
inga.nakhmanson@fittingreality.com
Join us in building the online shopping
experience of tomorrow!
try@fittingreality.com www.fittingreality.com

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Virtual Fitting Room Solution for Online Apparel Retailers

  • 1. 1 CLOUD-BASED AUGMENTED REALITY VIRTUAL FITTING ROOM FOR APPAREL BRANDS AND RETAILERS www. fittingreality.com
  • 2. September 13 2 Contents 1. Executive summary 2. The opportunity 3. Fitting Reality’s Solution 4. Strategy and competition 5. Where we are and where we are going 6. Team
  • 4. September 13 4 Fitting Reality is a cloud-based virtual fitting room that offers its customers a unique interactive shopping experience solving their FIT/SUIT dilemma. Fitting Reality addresses the very basics of retail industry through creating new standards of tomorrow’s fashion retail. Executive summary US market of apparel & accessories reached $400bn in 2012 . Only about 10% of sales were made online. 70% of shoppers would not buy online since they can’t try on clothes before buying. 80% won’t purchase online a second time because of poor shopping experience. Apparel & accessories is the 2nd largest online commerce category with expected growth of 17% in the next 3 years. Fitting Reality introduces a unique virtual fitting room that gives online shoppers a seamless experience similar to an offline store. With complex mathematics and physics at the core of its technology Fitting Reality offers online retailers and brands a scalable, easy to implement and cost effective platform that improves their customers’ experience. Fitting Reality is on track to become the industry standard for virtual fitting due to its scalability and multi-platform. We seek $2 mln to reach break-even in 2015
  • 6. September 13 6 Apparel & accessories is one of the fastest growing online markets in the US • Apparel & accessories is the second largest category of goods sold online after computers & electronics (with 20% of total e-commerce market) • Still, only 10% of clothing is bought online and it is the fastest growing e-commerce category with expected CARG of c. 18% in 2013-2016 (vs. forecasted offline apparel CAGR of c.2%) 2010 2013* 2016* 28 54.2 87.8 * Figures for 2013 and 2016 are projections. Source: eMarketer, Apr 2013 US apparel and accessories retail e-commerce revenue from 2010 to 2016 (in billion U.S. dollars)
  • 7. September 13 7 Brands and retailers are boosting their spending on technology and digital marketing to compete in a dynamically changing environment • According to a recent research by Forrester, 56% of e-businesses are planning to increase their spending on commerce-related technology in the next year. • Brick and mortar retailers are also ramping up their efforts as their online sales are surpassing offline and becoming their main business drivers. …Online vs. offline GROWTH …M-commerce Nordstrom is planning to spend on technology $375 mln or 15% of their capital budget till 2016 as well as investing in on-line retail start-ups Online sales increased 21% year over year in the second quarter of 2013 for Abercrombie & Fitch Co. while total group sales declined. …AUGMENTED REALITY …customization …social shopping
  • 8. September 13 8 However, most people still prefer to buy offline – online retailers cannot give a matching experience c. 90% prefer to shop offline to use the fitting room 14% of on-line purchasers are not satisfied c. 21% purchasers return clothes bought on-line … because 1. People cannot see, touch and feel the product. 2. People have problems choosing the right size/fit due to lack of uniformity in apparel sizing even within one manufacturer 3. Shoppers are seeking for the personal impact and inspiration from the creation personal looks and, they want to mix and match items on themselves. Many people are still unhappy buying online…
  • 9. September 13 9 As a result, online retailers are loosing money and customers.. • Uncertainty if it “suits” and “fits” • Poor fit / wrong size / “unpleasant” fabric • 70% of shoppers are searching online but don’t purchase, since they can’t try on clothes before buying • Return rate for online retailers vary at 25-40% of revenue • Ordering multiple sizes – higher working capital cost • Unhappy customers – decrease of loyalty, lower repeat orders, lower conversions All the above leads to higher costs and lower margins for online retailers
  • 10. September 13 10 Many are working on this challenge Aim to: •Improve returns •Increase conversion •Make customer happier – increase repeat purchases 3D-avatar fitting - Size advisor Zugara Styko Metail Style guide – Magic Mirror Augmented Reality fitting H&M, Showrooms.ru DRESSFORMER
  • 11. September 13 11 But the problem still remains … all existing solutions are far from offline experience: requires to print out a measuring kit and measure oneself only 2% of items are modeled, the remaining are shown based on similarity Too complicated and/or time consuming Not easily accessible, especially via mobile Too expensive for small/medium e- retailers can’t be used on mobile/tablet due to using MS Kinect technology cost/accuracy of modeling are prohibitive for most retailers/brands – especially in mass market or in fast fashion specific requirements for measuring (standing in certain background, exactly 4 meters away from a laptop) requires physically going to a shopping mall to make a body scan
  • 13. September 13 13 Our solution – customers can “try on” clothes on-line!
  • 14. September 13 14 How does it work for the customer? 1. Upload a photo (existing or new) 2. Enter your height (just once) 3. Register via Facebook and save your ShapeID 4. Start “trying on” clothes in every on-line shop which works with Fitting Reality using your ShapeID http://youtu.be/HS6uXTVX2DQ
  • 15. September 13 15 It is quick and hassle-free – just see your photos in new garments Makes shopping online more confident: helps solve the “DOES IT SUIT ME” problem – not only size fitting It is VISUAL – gives freedom to experiment, mix and match, search for your own style and share with others Makes online shopping really personalized Can be used everywhere, on any device – web, mobile.. and SmartTV Fitting Reality makes the online fitting a seamless experience: try on clothes like in a real store
  • 16. September 13 16 Cost effective solution: low implementation cost, low support cost, lower returns by customers Scalable: can be used by online retailers of all sizes Quick to set up: for small retailers the platform can be implemented even in 1 day Data reach: collect and use data insights about your customers based on individual ShapeID information and history of purchases For e-retailers and brands – Fitting Reality is the first platform able to provide a scalable and accessible solution for mass market, ready to become an industry standard Advantages for retailers Advantages for brands Higher Brand Loyalty Better consumer insights – know what your customers want/who your customers are Every $1 spent on Fitting Reality virtual fitting room will bring you additional sales of $20-$55 depending on the store size
  • 17. September 13 17 How does it work for online stores Web-interface to upload photos of clothes and receive code of “Try on” button Easy to set up the “Try on” button of the web-page of a product Technical support and quick integration of a solution (starting from 1 day) Possibility to further decrease costs by creating the 3D models in-house
  • 19. September 13 19 Market segmentation and focus Large online retailers & brands (c. 1000 stores) Small online retailers & brands (c. 150,000 stores) High street Mass market
  • 20. September 13 20 Our strategic focus is to start working with small and medium online retailers and brands, since there is no competition in this segment for the moment. When we accumulate critical amount of ShapeIDs, we’ll target “big fish” to become an industry standard. Strategic focus Large online retailers & brands (c. 1000) Small online retailers & brands (c. 150,000) High street Mass market
  • 21. September 13 21 Opportunities to capture beyond core value proposition For online retailers: ShapeID database - customers’ database, sales analytics and insights, retargeting based on the customers’ personal preferences For customers: Digital IP cameras (Smart TV, Kinect, etc.) - video and real-time fitting in- house using digital IP cameras technologies Personalized stylists’ advise based on ShapeID, blogs, social networks, mobile apps, etc. For developers / agencies: Development of mobile applications (fashion, games, socializing) Google glasses implementation For offline stores: Offline virtual fitting rooms in bricks-and-mortar stores
  • 22. September 13 22 Fitting Reality positioning against competitors Mass market/ fast fashion Developers Scalable Easy to use and integrate for online retailers; simple and cheap process of creating 3D models of clothes Can be used on all platforms (web, smart phone, tablet, Smart TV) to shop at home, in the office, in the airport, etc. Data centric approach allows to create truly personalized experiencesOpen platform for developers to build their own applications FR offers an affordable solution for all kinds of brands and retailers - a technology that can be easily spread due to low cost of implementation and further support FR focuses on mass market: fast fashion brands, small and medium sized online shops, blogs etc. Accessible
  • 23. September 13 23 Exact size match User-aided no yes yes Virtual “try on” option yes ”place against” no no Mix & match yes yes no no Video in progress no no no Ability to use on mobile/tablet yes yes no no Analytical reports availability yes yes yes no data Cost for on-line retailers low low high not appl. Implementation time from 1 day from 1 day 40-50 days not appl. Ease of use Upload 1 photo Special requirements for background and distance Print out a measuring kit and measure oneself 3D body scan using special equipment in shopping mall Fitting Reality: key differentiators from competitors Capital raised to date $1,8 mln - $ 9,8mln $ 30mln FunctionalityTime& cost Ease Zugara is our closest analogue, but their service requires specific equipment and a camera position - thus is more prohibitive for end users.
  • 24. September 13 24 How we monetize * Targets for the end of FY’15 **Cost savings would be gained going forward due to: 1) optimisation of software; 2) economy on scale; 3) outsourcing ShapeID creation to be done by customers themselves. Online Stores*: Small (≈30K unique users; 30K of revenue) Medium (≈200K unique users; $216K of revenue) Large (≈2500K unique users; $3000K of revenue) % of store revenue 5% 3% 2% Monthly revenue per store ($) 315 1 134 8 400 Costs per store** ($) 129 429 1 696 Profit per store ($) 186 705 6 704 Addressable market for FY’14-15 (stores) 2 500 100 10 Target market for FY’14-15 (stores) ≈150 000 ≈50 000 ≈1 000
  • 25. September 13 25 Go-to-Market Strategy Low customer acquisition cost – no need for large direct sales force, main focus on seamless of self- service through website Focus on mass market (small e-retailers and brands) to build market share and ShapeID base, gather customer analytics Use website as main channel to work with clients – 24/7 sales approach: customers can subscribe and start using FR via website in just a day Create the buzz and spread the word Use of affiliates and partners in web commerce solutions market (e.g. Insales) Get BIG FISH Accounts through direct sales efforts
  • 26. WHERE WE ARE And where we’re going
  • 27. September 13 27 Where we are Our key achievements to date include: Research and development of the product Early adaption projects and first sales Marketing research Fall 2011 2012 Spring 2013 September 2013 Business concept development and fund raising Marketing research in the USA and Europe Launching a beta version of the product Opening a sales office in the USA
  • 28. September 13 28 Where we are going By the end of 2013 2014 201 5 • $1,8 mln invested into technology development • Pilot tests with 12 online retailers in Russia completed • 6,000+ ShapeIDs • $670,000+ revenue • API open for developers • 380+ online retailers worldwide using virtual fitting room • 170,000+ ShapeIDs • Website traffic: 50,000+ unique users per quarter • $7 mln+ revenue • 2500 small, 30 medium and 3 large retailers using virtual fitting room • 2 mln ShapeIDs • Website traffic: 160,000+ unique users per quarter We are looking for $2 mln from an investor with expertise in building international technology companies
  • 30. September 13 30 Experienced Technology and General Management Executive with substantial entrepreneurial experience Startup Access, MIT Enterprise Forum of Russia, Abrys Consulting / AB Systems Minerva Capital Partners, Webiki.ru, Sloan School of Management Massachusetts Institute of Technology President, Co-Founder of one of the biggest system integrators in the Russian North- West. RAMAX International employs over 200 qualified professionals in its three offices in St. Petersburg and Moscow. Annual Turnover (2012) - $65 mln Founder of Integro Technologies Ltd. (www.integrotechnologies.ru), software development, deployment and post-sale support for logistics, aviation, transportation. Total revenue (2012) – $18 mln Co-founder and investor - POCHTOMAT (www.logibox.ru), an integrated network of automated post-offices. Lev Razumovskiy Investor Sergey Gribov Advisor Our team Alexey Streltsov Technical Director 7 years in software development. Alexey’s skills and expertise: C++, C#, Objective-C programming, Java, Server Architecture, Algorithms, Math, Software development, MySQL, Agile, Distributed Systems Emin Aliev Business Development, USA , Lumata (ex-Buongiorno), State University of Management (Moscow, Russia), GUU Mindshare Interaction, New Age Training NYU Inga Nakhmanson Co-founder and CEO Inga founded the first augmented reality developer company in Russia in 2009 - AR Door. The company has successfully implemented more than 40 projects for big brands both in Russia and abroad
  • 31. Inga Nakhmanson, CEO +7 916 332 65 03 inga.nakhmanson@fittingreality.com Join us in building the online shopping experience of tomorrow! try@fittingreality.com www.fittingreality.com

Hinweis der Redaktion

  1. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions
  2. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions
  3. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions
  4. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions
  5. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions
  6. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions
  7. Targeted market is a marketing/IT/cost reduction budget for online apparel e-Commerce Посмотреть структуру привлечения трафика онлайн магазинов. Посмотреть долю mass market Для крупных магазинов возможно customize for already existing solutions