Project for Customer Behaviour Prediction: http://www.predictai.design/
The website has been deployed on Heroku with a Python Flask backend. requirements.txt and Procfile were added
https://docs.google.com/document/d/1f8NwvXWSOlydW0T0ykK91erM6TlOUWtmVCpgPsi-k_0/edit#
These will work in anaconda prompt. Please follow the corresponding instructions for linux.
- Clone the respository using
git clone https://github.com/Tannybuoy/predictai - Redirect to that repository using
cd/Documents/GitHub/predictai, or the route is in your Desktop - Type
python "app.py"to open the website in your browser
COVID-19 has accelerated the transition from visiting physical stores to online shopping. Predicting customer behavior in the context of e-commerce is steadily gaining importance. It can increase customer satisfaction and sales, resulting in higher conversion rates and a competitive advantage, by facilitating a more personalized shopping process.
Cirqueira, Douglas, et al. "Customer Purchase Behavior Prediction in E-commerce: Current Tasks, Applications and Methodologies." International Workshop New Frontiers in Mining Complex Patterns. 2019 has very clearly looked at 65 prior research works done in the fields of customer behaviour prediction and jotted down the results in a tabular manner for convenient comparison across parameters such as supervised/unsupervised algorithms, business intelligence applications and accuracy.
- Deployment of website (Heroku, Porkbun)
- Front-end development (HTML, CSS, JS)
- Back-end development (Flask)
- Machine Learning (sklearn, pandas, numpy, matplotlib python libraries)
- Website prototyping (Adobe XD)
- Version Control (GitHub, GitHub Desktop)
- Code editing (Atom, Jupyter Notebook, Google Colab)
- Existing business data science project https://towardsdatascience.com/can-you-predict-if-a-customer-will-make-a-purchase-on-a-website-e6843ec264ae, https://github.com/MartinBeckUT/BDSFinalProject
- Deploying Machine Learning model on Flask https://www.youtube.com/watch?v=i3RMlrx4ol4
- Deploying Flask app on Heroku https://www.youtube.com/watch?v=h43s0nHV_20
- Dashboard prototype https://www.behance.net/gallery/100140281/Covid19-UI-Kit-Free-Download
- Dataset from UCI Machine Learning repo https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset
- Tutorial followed for web development https://www.youtube.com/watch?v=99vHH_6F0Ko
- Smooth scroll has been taken from the repo https://github.com/cferdinandi/smooth-scroll