Inspiration
Inspired by Search Recommendations from different Major Search Engines.
What it does
FitMe provides shoppers with more precise sizing recommendations, in hopes to reduce the return rates of apparel back to the merchants.
The shoppers are to enter their body measurements when they first register for an account on the Zalora platform. Our system will be storing these data for training the model. The default size that is selected when shoppers are purchasing their apparel will be the best fit for them according to data stored in the database.
Existing shoppers will be prompted to provide their body measurements after the new update has been deployed.
How we built it
We used a serverless architecture together with AWS Lambda & DynamoDB services to store shopper’s body measurements.
New users would input during the start of their account creation or prompt the existing users to input their sizing measurements before proceeding to purchase the product. The input interface will be a programme through Flutter using Dart language. The body measurements for each individual would be automatically sent to the database using key-value NoSQL with high scalability.
Challenges we ran into
The challenges are that this solution might not be unique in the market and the completeness of the project might not be high.
What we learned
We have learnt how Zalora is being used and how we can integrate our prototype into their existing infrastructure.
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