Dresscovery presentation

Samsamia Technologies S.L. | http://www.dresscovery.com | [email protected]

PROJECT DESCRIPTION


TABLE OF CONTENTS

1. Introduction

2. Description of Dresscovery

3. Market outlook

4. Business model

5. Marketing strategy

6. Roadmap


1. INTRODUCTION


Background Samsamia Technologies S.L. is a spin-off of Robotics Lab at Universidad Carlos III of

Madrid, one of the most advanced research group of robotics in Spain. Its fields of

expertise cover computer vision, machine learning, big data and artificial intelligence.

The company mission is to transfer high quality scientific knowledge to the market through

solutions related to robotics and technology.

Introduction

Samsamia Technology as a company

Finally Fashion and Technology found each other


Miguel Maldonado

Computer scientist from Universidad Rey Juan

Carlos and MSc. in Robotics from Universidad

Carlos III.

Since 2006 he has worked as a software

engineer in different companies. He has

experience in leading software projects, server

and database management and smartphone

apps.

In Dresscovery Miguel is in charge of the product

development, app programing and server

management.

Miguel González-Fierro

Industrial Engineer and PhD student in robotics

from Universidad Carlos III and King’s College

London.

Since 2008 he has worked as a researcher in

humanoid robotics, computer vision, artificial

intelligence and machine learning.

In Dresscovery Miguel is in charge of the

business development, marketing and computer

vision programming.

CEO

Samsamia

CTO

Samsamia

THE FOUNDERS

Introduction

The team

Our team is composed by highly skilled and motivated

professionals that covers all the areas of the

technological business.

Engineering Department are in charge of the

technology development. They possess wide experience

in computer vision, machine learning, artificial

intelligence, web development, database programming

and mobile development.

The team from Business Department take responsibility

of the business development. They are experienced in

finance, web marketing, social marketing, IT business

management and sales.

The team from Fashion Department take care of the

fashion business development. They are experts in cool-

hunting, sales and negotiations with fashion brands,

fashion design and web design.

THE TEAM


• We are a new communication channel between fashion brands and

customers. We developed a search engine for fashion products

that allow a user to find any garment he/she desires just by taking a

picture and buy it instantaneously.

• The flagship product of Samsamia is Dresscovery, a smartphone

application which includes this search engine to allow users identify a

garment in a picture.

• Dresscovery is an app aimed to be the future driver of online retail

growth through the connection of the textile brands online retail

business with the real world.

• Technologically, Dresscovery matches any picture of an apparel or

accessory with a large database of online brands stock. It allows the

user to buy the targeted object in the respective online store.

• The app finds the most similar products that are available for sale

right now among hundreds of different brands.

• We have deals with most of the top fashion companies in the

market. We have brands like Hugo Boss, Calvin Klein, Nike, Versace,

Valentino, Dolce&Gabbana, Timberland, DKNY and Michael Kors

among others.

THE PROJECT

Introduction

The project


2. DRESCRIPTION OF DRESSCOVERY


Search

Find

Buy

Trough a picture, the user may

find the object he is looking for

Dresscovery uses computer

vision algorithms to identify

the garment and find similar

products

Dresscovery allows to buy the

product in a very easy way

Description of Dresscovery

The app from a technical perspective


Description of Dresscovery

Real life example

I want

that

purse… How

could I

find it?

It is

probably

very

expensive

anyway… With Dresscovery, she would find the

purse if it is available in the database

and find whether or not it was

expensive.

But even more importantly, with

Dresscovery she would find very

similar purses too and could choose

(among the range of purses) the one

more suited to her needs in relation to

her purchase power thus matching all

the factors or variables included in a

purchase decision: beauty, price,

reputation, brand, time, craving, etc.


3. MARKET OUTLOOK


Market outlook

Our view of the market

Comparison shopping

25%

Appareal23%

Consumer Electronics

21%

Computer Hardware

18%

Computer Software

13%

Retail E-Commerce Categories consulted in Europe in 2011

“European e-fashion CAGR

was around 19% between

2005 and 2009 and 9%

between 2009 and 2013”

Source: Comscore

Source: Opera Capital Partners

Clothing accesories

34%

Books26%

Consumer electronics

25%

Others15%

Purchased Goods via Smartphones 2012

Source: Opera Capital Partners

0,0%

2,0%

4,0%

6,0%

8,0%

10,0%

12,0%

14,0%

16,0%

2013 2014 2015 2016

Online Retail Demand Forecasts

Inditex online

UK Apparel online

Apparel & Footwear

EcommerceGlobal Online Retail

Forrester 2008

Consensus

Apparel Retail Online Sales Forecast

Online retail has growth strongly over the past years and

still, market estimates predict a higher growth…


Market outlook

Our view of the market

…however, there are still some burdens on the online retail business profitability

with respect to the traditional retail

Burdens on online retail profitability Current Mitigation / Solutions

Increased costs: online logistics added

to store logistics

Reimbursements & returns

Shopping as a social experience

Shopping as a tactile process

Fear to online world

Cannibalization

Drop shipping

Virtual closet

Social experience through mobile and

web

Security in online transactions


4. BUSINESS MODEL


Business model

The app from a commercial point of view

Business model is get a commission for every sale We have different affiliation sources that give us a commission between 5%

and 15% of the total garment price.

We have the top fashion brands We have more than 300 brands and thousands of

products, but more importantly we have the key

brands, the brands people want to see and are willing

to buy.

Discounts and offers We will introduce discounts and offers in our product

to improve the conversion. Furthermore we will

negotiate with brands discount coupons to be changed

in the physical store.


Business model

Business model 1.0

User

generation

Clicks

generation Promotion

and

Marketing

Sales

generation

Commissions

(7%-20% of

product price)

Cash Flow

generation

We will focus on continuous

innovation in promotion, marketing,

technology and design


Business model

Business model atractiveness

Highly attractive product which covers a consumer non satisfied need, the need of finding the

object that she desires when she sees it.

Daily use application due to its “gossip effect”, allowing the user to be up to date with the fashion

style.

Product with a high informative content: it does not only allow a user to find the product he

looks for but it also finds related information about it and similar products in addition to offers and

discounts.

Product with high possibility of going viral.

The time to market is zero, we are already earning money.

Scalable and diversifiable business: it permits cross sales and access to numerous additional

business lines.

The expansion to other countries is direct.

ATRACTIVENESS


5. MARKETING STRATEGY


Marketing strategy

User number boosting

A

A

R

R

Acquisition

Fashion bloguers

Fashion magazines

Other media

SEO

Social Networks

Activation Elegant design

Usability

Fast algorithm, user does not wait

Retention

The app finds exactly the product the user wants.

The app really works and finds similar clothes.

There are no false positives.

We send the user news, discounts, trendy looks, etc.

Referral It is useful, so the user shares

To unlock a particular feature the user have to share

The user can share a garment on social networks


Marketing strategy

Conversion boosting

R Revenue

Find products by price.

Include a payment solution to make the payment easy.

Possibility of buying trough website

Include a buy later option

Test A/B: Continuous tests of different options.

Every new feature comes from the user decission.

Pursuit of virality: growth hacking

Total focus on conversion boosting


6. ROADMAP


Roadmap

Roadmap of product recognition

Stage 1: purse identification Stage 2: shoes identification Stage 3: other garment identification


Roadmap

Roadmap of international expansion

Stage 1: Growing in Spain Stage 2: Growing in Europe Stage 3: Growing in the world


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