The document proposes a "smart wardrobe" solution to common wardrobe issues such as not knowing what to wear. The smart wardrobe would use a scanning device and app to catalog all clothes by type, color, size and other attributes. The app would study the user's fashion habits over two weeks to provide personalized outfit recommendations. It would offer at least three daily outfit suggestions based on weather, calendar events, and fashion preferences learned over time. Users could customize recommendations and the wardrobe would be linked to fashion brands. Unwanted clothes could also be swapped or donated via the app.

1. Great Earth Vitamins
If it’s not broken…fix it!
Stromi Lof – May 2014

2. The Wardrobe

3. Why do I chose this item?

4. What Should I wear today ?
It’s surely a trivial issue but it’s one of the
questions we ask ourselves everyday
going through our wardrobe. (525 Million
results on Google)
People living in developing countries
(including myself) have enough and
probably too many clothes but we always
complain that we have nothing to wear or
struggle to make this everyday ‘fashion
decision’.

5. What problems it may present that
we haven't taken into account or tried
to solve?

6. The wardrobe issues
1. The fashion dilemma: What
to wear ?
2. The wardrobe management

7. How you would improve it?

8. The solution: the smart wardrobe
• To get around this, I propose to build
a ‘smart wardrobe’. The wardrobe is a
functional piece of furniture that aims
at storing our clothes. Pretty basic.
• But the wardrobe could be smarter
than that and more helpful!
• Solution: The smart wardrobe: an
app that provides styling advice based
on what’s in your wardrobe.
• Trends: The internet of things,
mobile, utility, fashion

9. How does it work?

10. 1. Scanning process: overview
The app will record all the clothes in
the wardrobe and organised them by:
• Types (tops (shirts, t-shirts,
jumpers) bottoms, accessories…)
• Colours
• Size
• Brands and retailers
• Washing specifications
• Weather-related
• Event-related (Business, casual,
going-out, sports/outdoors) -
Customizable by the owner

11. 1. Scanning process: the geeky part
Technology used: the Structure
Sensor, it’s a portable 3D sensor and
also an accessory for the Ipad.
This will help scan all clothes within the
wardrobe and map the wardrobe itself
When combining, the smart wardrobe
app and the Structure Sensor, we will be
able to:
• List every single clothe within the
wardrobe
• Capture colour and size information
*Source: Occipital: https://www.youtube.com/watch?v=wGP4l93yzH8

12. 2. Data collection
• Once all clothes have been scanned and organised. The app will study our
fashion habits over a two-week period.
• This will enable to gather as many insights/data possible on what we like
wearing, what we are wear the most.
• The software/app will continue to learn the fashion habits users’ preferences
over-time.

13. 3. Personal Recommendations
At least three daily
outfits suggestions
every morning
Notifications available
across different
devices (smartphone,
tablet, smart TVs and
touch screen on the
wardrobe door
Once the data collection process has been completed, the smart wardrobe
will provide several recommendations on which outfits to wear today based
on the actual clothes that are in the wardrobe.

14. 3.1 – Customizable
Easy to use and fully customizable:
If the user has a meeting on Monday, he
will be able to select meeting outfit
plus the casual or the formal option
depending on the type of meeting he
plans to attend.
He will then get appropriate suggestions
on what to wear for these occasions
Ability to synchronise the app to the
user’s online calendar to get
recommendations based on upcoming
meetings

15. 3.2 – Fashion-savvy
The app will be linked to the user’s
favourite fashion brand and
magazine websites (e.g. Asos,
Urban Outffitters, TopShop, Elle…)
and will suggest items from these
brands to complete their wardrobe.
Two type of suggestions:
• Similarity: will match what users
have already in their wardrobe
• Something different: will
recommend ‘unusual’ clothes

16. 3.3 – Weather-related recommendations
Weather data will be recorded daily. Users will then receive fashion
recommendations depending on the weather and the season.
If the weather forecast plans
90% percentage of rain for the
day, the app will recommend a
wet-proof coat, gum boots,
umbrella…
If it’s 30 degrees, the user lives
near the beach and it’s a
weekend. The app will suggest
some beach outfits; shorts,
shirts, flip-flops, sun glasses…
It’s -1 outside, the smart
wardrobe will suggest some
warm clothes, winter coat,
scarf, gloves etc…

17. 3.4 – Exchange & donate clothes
Users will be able to put their clothes in
their ‘unwanted rail section of the app
and swap their clothes with friends and
other users
Ability to donate their unwanted clothes
to charities (e.g. Salvation Army, Oxfam)
via the app too

18. Thank You