AR Shopping-Guide
The application combines online shopping and in-person shopping in a new shopping mode. This application can solve all problems people might face today. My design intends to help people have a better shopping experience and save precise time on weekends.
Designer: Shengyang Luo
Committee: Mike Strobert, Adam Smith
Tools Used: After Effects, Figma, Cinema4D
Abstract
Shopping is important in our life, especially food shopping. Almost every family needs to go shopping once per week and spend lots of time and energy on it. This project proposes the design of an application to help people have a better shopping experience by saving time, saving energy, and saving money.
Technical Constraint: Augmented Reality Glasses (AR Glasses)
Problem
It could be difficult for people to find the exact item they want in a huge supermarket. Also for grabbing all the items at one time, so we need to walk around in a huge supermarket several times, which spend lots of time and energy.
My Solution
AR-Shopping Guide help users make target list, navigate to items, and check out easily to save time and energy.
Current Solution
#1. Shopping or ordering online
Weakness: Transportation Fees, Labor costs and Food quality problem
#2. Shopping in person
Weakness: Waste time, Miss items and stressful shopping experiences by queuing up.
Quantitative Research
According to research conducted by Drive Research, They surveyed over 1,100 consumers across the U.S. to look at the current landscape of grocery shoppers and identify underlying consumer segments. I made three statistical charts and visualized them. Based on the data, most people prefer to shop in person, so in-person shopping is the main current shopping mode. And also, we can find that the target user is aged from 18 to 50 years old. Reducing shopping time is also the main goal for most people shopping time from 30 minutes to 50 minutes or more.
Shopping Mode
According to a survey, 69% of monthly grocery shopping was completed in a physical store across the total sample. 16% of people said they get their groceries delivered, while even fewer said they get their groceries through a curbside or pickup service (6%).
Age Group
42% of the supermarket customers are in the 24-35 age group, while 35% of them are between 35 and 50 years old. The proportion of the 18-24 age group is 13%, only larger than 50+ (7%), and 13-18 age groups (1%). As can be easily guessed, the female is the dominant gender with 61%.
Time
In terms of grocery shopping time, 36% of people spend less than 30 minutes per trip, another 36% spend 30 to 44 minutes, and 28% spend 45 minutes or more.
Qualitative Research
I used one on one interview method for my qualitative research where I interview 8 members some directly & others remotely, people who often do food shopping online/ food shopping in Grocery. I learned a great deal about the individual's pain points below based on my own observations.
Shopping online
* Expensive transportation fee
* High service charge
* Can't make sure food or materials' quality
Shopping in Grocery
* Wasting time looking for items
* Long checkout line
* Missing item they want
Narrow down scene
Problem 1: People must prepare a shopping list when they try shopping. However, people always miss items if we don't take note of them. In this case, people need to go to the supermarket one more time or impact the life quality a week.
Set target list before getting into supermarket
My solution: Before people getting into supermarket or grocery, they can choose items and make shopping list by AR shopping-Guide. People can make the list at home, in front of refrigerator or whenever they want. By this way, people will not miss any item they need.
Problem2: When people grab items in supermarkets and grocery, they always walk around and spend lots of time finding items they need. Also, it might be difficult for people to find the exact item's position if it is not popular or selling well.
Follow the navigation to get them!
My solution: After people make a shopping list in AR Shopping-Guide, they can click guide in the application, and VR Shopping-Guide can automatically generate a perfect route for grabbing all items at one time, which is efficient, time-saving and energy saving.
Problem3: After shopping, people always need to wait in a long line to check out no matter the check-out counter or self-check. People need to stand for a long time, which definitely wastes time and energy
Check out easily by AR-Shopping Guide
My solution: When people are ready to check out, they can use VR Shopping-Guide to check out directly by card or payal, instead of waiting in a long line and a long time.
Potential problem: When people shop in a supermarket or grocery, they may want to mark a place to remember an item before a comparison of the items they are thinking of. Also, they might want to avoid a place when they are shopping. For example, when you are losing weight, you don't want to pass by the dessert part of the supermarket.
Put a sign to mark or avoid a place
Solution: In AR shopping-Gude, the user can put a sign to mark a place. Based on that, people can remember this place and return to this place by navigation. Also, if they don't want to pass by some area, they can put a sign to avoid them by navigation.
Conclusion
Based on three specific problems in people's shopping experience, AR Shopping-Guide solves the problems by offering a shopping list before getting into the supermarket, generating the perfect route for users to find items and check out easily by application online. No more missing themes will save users time, energy, and money. Also, AR Shopping-Guide's mark and avoid function also solve potential problems users might have.
Details in AR Shopping-Guide
The arrow in AR Shopping-Guide is totally 3D so that users can easily follow the direction from every perspective.
In AR Shopping-Guide, users can see some interesting interactive motion and animation to improve the quality when people are shopping. For example, users can see "Thanks" when the sensor door is open.
Design System
Design Porcess
User Flow
Wireframes
Final Design
Sketch
3D Camera Tracking Process