ECommerce_behavior

Watch our Demo

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Watch our demo in Youtube

Slide Deck 👨‍🏫

Trying it out

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Running it locally

  1. Clone this repository and follow the instructions to run the backend on local machine.
  1. Run the following command (if you have GNU make installed)
make s-front

2.b Otherwise run the following from root

cd frontend/ecommerce
yarn install
yarn run dev

Links

📓 Description

  • Recommended bundles of products/Suggest Products based on what is on the cart.

Data Science visualization project using ecommerce data. Analyze data which is about e-commerce customer behavior.
Using this data, create a customer view vs. company view.

  • For the customer side, they will be able to see their search history, recommendations, and still adding to it.
  • For the company side, they will be able to see which product is being sold the most, which company has the highest selling rate, which company has the highest view rate, and which product is trending the most. The most interesting part of the project is comparing what people view vs. what people buy.
    If we are able to, we will try to create suggestions based on what the users add to their cart.

🔗 Links