play_arrow
Смотреть
25593

StilDi

platform turning into smart personal store front

Беларусь, город Минск
Отрасль: Торговля, Искусственный интеллект, Мобильные приложения
Стадия проекта: Готов прототип или продукт

Дата последнего изменения: 02.04.2018
Min инвестиция
$  100.000
1
Всего необходимо
$ 400.000
Рейтинг
equalizer 298 из 1000
help
Рассчитывается по оценкам и заполненности проекта (подробнее о рейтингах)
Моя оценка
1
2
3
4
5
6
7
8
9
10
Средняя оценка:

Идея

The platform connecting users,stylists and sellers for service on-the-go. Users get individually guided shopping done by stylists, in multiple stores. Sellers get a tool to promote their goods better with the help of stylists. The platform also has forum, news feed and individual peer-2-peer advice.The platform creates community which provides business opportunities, for stylists (all sort of stylists - professional,amateur and AI)and sellers(all sort of sellers, including artisan producers).

Текущее состояние

Prototype ready, multiple user-testing completed. Development started. Social accounts are active and engage users and suppliers already now, before launch.

Рынок

Fashion e-commerce is 60% of the world e-commerce in terms of users. The total market volume is estimated as 2.5 trillion USD. Total SOM: 700 mln USD. We target 1% penetration in 4 years

Проблема или Возможность

Users get tired searching for cloths and accessories on their own. The choice is tremendous and uncertainty is huge. While shopping online, you feel lonely as there is no one around to give advice. Solely automated recommendation done by anonymous AI-model may inspire you, but you can’t really trust it. You want a human reassurance. Automated solutions make you feel haunted with advertising, just like Google ads. This is why, even when we are online, we want human interactions to feel more secure. Another problem is that online shopping is dominated by few very big names. You can’t fight them, you can’t dictate them. You can only plug-in to them, offering an enhancement to their regular business (as a B2B solution).

Решение (Продукт или Услуга)

we create a niche service built on top of the huge fashion e-commerce. We turn the regular search interface into tinder-like interface that learns individual style and taste as you use it. As you play, you see community assessing the same item for you (professional stylists, amateur stylists, AI stylists – all work for you). More to that, you can then see various combinations of what you liked with what is recommended by stylists and by sellers. If you feel like getting more personalized advice from some particular stylist, you just contract him/her/it. If you want to buy something from a regular store, you press “order”. In the stage 2, if you want to buy something from a person like you, you just contract him/her with a Smart contract option.

Конкуренты

StichFix, zalon.de, TrunkClub, Polyvore, UrbaneBox

Преимущества или дифференциаторы

platform business model; community as a reason to return and a source of additional data about users. Real stylists add human touch and trust, while AI stylists reduce costs of moderation and content creation and filtering. Later, sales of artisan producers are linked to buying regular goods, thus creating synergy effect for both suppliers.

Финансы

Total SOM: 700 mln $
We target 1% penetration in 4 years

Total SOM: 100 mln $ and rapidly growing
We target 1% penetration in 4 years

Инвестировано в прошлых раундах, $

 
$ 5.000

Бизнес-модель

standard dealer commission
from existing online stores
standard commission – 1%
average bill – 20$

smart contract
Commission for servicing
A. stylist2buyer service provision
B. producer2buyer sales


Целевое назначение инвестиций

R&D in data modelling, continuous upgrade of the application (back-end and front-end), marketing and payment to stylists at the growing stage of the platform

Предложение инвестору

20% share in the 1st round, another 15% share in the 2nd round

Менторы-советчики

Риски

1. Dependency on sales force in engaging online stores – to tackle the risk we are already engage stores and brands directly into our activities in Instagram. 2. Users may not grow fast enough to generate enough data for the recommendation model – to tackle the risk we will also analyze other meta-data from the online stores (not just pixs) to feed the model.

Победы в Конкурсах и другие награды

1. 5th place in the 105th battle of startups
2. the final Stanford Business School VC Day 2018

Фотографии

Адрес сайта

Комментарии:

Необходимо авторизоваться

5,00
1
2
3
4
5
1 оценка
arrow_back
RU
more_horiz
close
visibility761
star3
Добавить в избранное
Удалить из избранных
share
close
thumb_up3
Нравится
Не нравится
Идея
Текущее состояние
Рынок
Проблема или Возможность
Решение (Продукт или Услуга)
Конкуренты
Преимущества или дифференциаторы
Финансы
Инвестировано в прошлых раундах, $
Бизнес-модель
Целевое назначение инвестиций
Предложение инвестору
Команда или Руководство
Менторы-советчики
Лид-инвестор
Риски
Прохождение Инкубационных/Акселерационных программ
Победы в Конкурсах и другие награды
Изобретение/Патент
Фотографии
Видео о продукте
Адрес сайта