Background

A simple graphics user interface (GUI) for Amazon FBA (Fulfillment by Amazon) sellers to help them make better decisions when it comes to their inventory. The app allows the user to upload a dataset of amazon products and upon variable selection, it will generate graphs and insights to help the user see which products, categories or any ther indicators drive a successful product.

Dataset Selection	Main Screen
Insights Page	Edit Titles Page

_{UI visualisations (click to enlarge)}

Limitations:

• The app only works if the imputted dataset is in the same format as the one provided in the repository.
  • This dataset only contains 10,000 products and is from the Amazon.co.uk marketplace (2017).

Disclosure: the app was developped on MacOS Monterey 12.4 using Python 3.7.3

File Architecture

• main.py - The main file that runs the app.
• amaon_co-ecommerce_sample.csv - The dataset used for the app.
• any other files are self-explanatory.

The Dataset

Installation & Usage

Note: all code below is intended to be run in the terminal/command line

First-time install

Clone the files:

git clone https://github.com/whoisoscar/programming-fba-project

Create and activate a Virtual Environment

Creating the venv:

cd programming-fba-project
python3 -m venv ./project

Activating the venv (each time you open the folder):

source ./project/bin/activate

Install modules

To install required modules:

pip install -r requirements.txt

Usage

python3 main.py

Further improvements

• Make the app more user-friendly
• Add more graphs and variables
• Make the app fetch the data from Amazon's API in real time rather than relying on a dataset.

Resources Used

Credits

This project was created for our Programming for Data Management & Analysis course at IE University. The project was created by:

• Duarte Barbosa
• Joaquín de Tord
• Giacomo Pedersoli
• Oscar Tluszcz
• Simão Varandas