Problem
Navigating within a building from one location to another using the existing GPS services is difficult and can be wrong at times. Similarly, considering the scenario of a grocery store, we often find ourselves in a situation where we are clueless about a product’s location. Majority amount accounts to grocery sales. So, many users will leave the store without purchasing. Some of the main frustrations of the users may include:
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Difficulty in finding product location
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Finding product deals instantly is hard
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The user has no access to product reviews
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Time-consuming
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Comparing products is a challenge
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Less number of employees / they are occupied with other customers
Solution
AR is shaping the future and could deliver a lot of value for marketing, the retail industry, and more importantly for the consumers. For this project, we used AR as a medium to help users navigate. When a user visits a grocery store he/she, he follows the below steps
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Scans a QR code
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Check the store map on app
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User can search and navigate to that product
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Get details about product like nutrition facts, expiry date and other information
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Save products to shopping list
Survey & Findings
Survey: As part of our research on AR shopping experiences, we conducted a user survey to understand their opinions and preferences. There are a total of 8 participants who participated out of which 5 are male and 3 are female
Findings: User survey has given us a broad range of data and different perspectives of users. The following are some of the key findings that we came across
User Flow
Based on all out data collection, and user surveys we have designed the following user interface
Measurements
The following are the list of measurements considered while designing the application
Distance Measurements
Product availability
Accuracy of location tracking
Store Layout
Store Inventory
Product Variety
Design
Using the data from our data collection, user research, user surveys and user flows, we have started working on low-fedility wireframes
Future Enhancements
Customer emotion recognition
This could be used in sectors like education. And give personalized AR application interface content with more accuracy and precision in giving AR direction.