[ problem ]
When people pack their luggages in a short amount of time, they are running the risk of under-packing or overpacking.
[ solution ]
Our goal is to make packing luggages more easily and efficiently, and using image recognition technology to analyze packed items.
[ how it works ]
step one
type in the date, destination, and purpose
step two
generate a packing list from a recent visitors
step three
layout the pack items
step four
scan and check

[ user flow | one ]
Create A Packing List
[ user flow | two ]
Edit the Packing List
[ user flow | three ]
Scan the pack item
[ technical Diagram ]
step one
Scan the 3D items
step two
Use the API technology to analyze the 3D items
step three
Unrecognized items will be tag by users
[ style guide ]
[ logo design ]
[ typography ]
[ iconography ]
[ case study ]
[ competitors ]

Packing Pro
- Sync from device to device
- Share Packing List
- Customize Interface Design

Travel List
- Create reminders so users won’t forget things
- Keep track of your trip’s itinerary

TripList
- Save list for reuse
- Add items to the list based on the destination
[ swot ]
Strengths
- generate a packing list based on a recent visitors
- check the user’s items by scanning
- offer packing suggestions
Weaknesses
- has few competitors
- creating a packing list may avoid a few steps
- some of the target audience who may not be tech-savvy
Opportunities
- save user’s packing time
- avoid omitting any items
- share user’s packing lists on social media
Threats
- users may get annoyed during the packing progress
[ Target Audience ]
Primary
- Business Trip Traveller by Air
- Age: 25-49
- Income: $87,500
- get things done fast and perfectly
Secondary
- Leisure Trip Traveller by Car
- Age: 50+
- Income: $62,500
- avoid forgetting the items that they needed
[ persona ]

user infor
- Margaret
- 37
- Female
- New York City
- English, Chinese
- Social Media Active
- Survive Fashion Week
user background
Margaret is a fashion magazine beauty editor, and her job is to stay on top of all the latest runway makeup trends and share them with her readers. She got her first Bachelor’s degree in English Creative Writing, and she went to a graduate school for Journalism to study magazine writing. Also, she is the mother of a 14-month-old baby girl.
[ user scenario ]
Margaret always travels abroad to attend the fashion weeks in Europe, and usually she needs to stay at least a week.
- A) Type in the destination, duration, and purpose
- Destination: Paris
- Duration: 8 days
- Purpose: Work
- B) Generate a packing list based on the past, with usual
makeups, skin care, shoes, handbags, clothing, notebook, pen, smartphone... - C) Scan & Check
- D) Done
[ outcome ]
Margaret is a busy working mom, so it is a great challenge for her to stay balanced between work and life. Using ELLIE app is really saving her time on packing because the app pulls data from her last trip. Now, she does not need to worry about missing items, and she can spend more time with her baby girl.
[ design process ]
[ user observation ]

one
Tester hit “Scan” to add item on the list
two
Tester did not understand what the “Edit” button do
three
Tester got confused when she saw the “Create List Page”
four
In A test, tester dragged the unknown objects on the suggested tags
five
In A test, tester got confused with the error icon “!”
six
Between the split test, tester preferences version B