evansdoe/online_retail
The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
This helps online retailers predict which customers are likely to make another purchase soon. By analyzing past transaction data, it identifies purchasing patterns and outputs a prediction of whether a customer will buy again in the next three months. This is useful for marketing managers, e-commerce strategists, and customer retention specialists.
No commits in the last 6 months.
Use this if you need to identify high-potential customers for targeted marketing campaigns or to proactively re-engage customers at risk of churn.
Not ideal if you need a real-time prediction system or a detailed breakdown of specific products a customer might buy next.
Stars
20
Forks
15
Language
Jupyter Notebook
License
GPL-2.0
Category
Last pushed
Jul 04, 2021
Commits (30d)
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