Predicting Customer Churn in E-commerce Using Machine Learning

This Omdena Local Chapter Challenge runs for 5 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.

You will work on solving a local problem, initiated by the Omdena KSA, Saudi Arabia Chapter.

The problem

In the domain of e-commerce, acquiring a new customer is generally more expensive than keeping the existing ones. The customers usually leave if they do not get good incentives. Thus, analyzing customer behavior to predict customer churn and the reasons can be a great solution for businesses especially small businesses and startups to monitor customer behavior and offer a suitable incentive that could help in maintaining the customers. In Saudi Arabia, most of the e-commerce platforms don’t offer an analytics tool for the traders to help them analyze the customer behavior which lead them to close their stores at the end. Therefore, offering a tool that can help them to analyze customer behavior will be a great contribution.

The goals

• Help small businesses in e-commerce.
• Reduce churn rates.
• Improve the skills of the team by sharing knowledge and overcoming challenges together.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work