The whole inspiration of the project to address the returns which happen on digital commerce sites.
What it does
- Experience the product yourself in a very interactive manner. 2. A powerful recommender system which recommends better ranked products.
- Using feedback from all around the website about the product to give the top terms found in positive and negative sentiment reviews
How we built it
Please see the images for steps
Accomplishments that we're proud of
Current rate of conversion can be boosted by 25%-30% increasing global revenue.
What's next for Retail'ored
Combining user research and user experience analytics to further strengthen our results.
Further enhancing our data and implementing better clustering algorithms to reduce noise.
Use feedback data to identify bugs, user experience issues and performance issues in the product.
Built With
- deeplearning
- htc-vive
- machine-learning
- premiere-pro
- python
- scikit-learn
- sketch



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