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AI-Enhanced Customer Experience and Marketing Efficiency for Online Shopping Club

#ecommerce, #ML/AI

CHALLENGE

Enhancing Product Recommendations: The Online Shopping Club needed to improve its product recommendation system to offer personalized suggestions to customers, ultimately increasing sales. Reducing Customer Churn: High customer attrition rates were a concern, and the club wanted to predict and address customer churn effectively to retain more customers. Marketing Efficiency: The manual creation of marketing reports was time-consuming and resource-intensive, prompting the need for automation and data preprocessing to optimize marketing campaigns.

CLIENT

Online Shopping Club

TECHNOLOGY

Programming Languages: Python, R
Databases: MySQL, Google Bigquery
Data Pipeline: Logstash
Analytics: Google Analytics

TEAM

Dedicated team with expertise in front-end and back-end technologies and deep knowledge of machine learning.

INDUSTRY

E-commerce

SOLUTION

Recommender System: The project involved the development of a recommender system that employed collaborative filtering and association rules algorithms to provide more accurate and personalized product recommendations, leading to increased sales and customer satisfaction.
Customer Churn Prediction: A data pipeline and workflow were established for customer churn analysis. This allowed the Online Shopping Club to predict potential churn and take proactive measures to retain customers. Marketing Reports Automation: The team automated generating marketing reports, collecting relevant data, and preprocessing them using Python. This automation streamlined marketing efforts, saving time and resources.

IMPACT

The enhanced recommender system significantly improved product recommendations, increasing sales and customer satisfaction. The implementation of regression models provided valuable insights into customer behavior, facilitating the development of targeted marketing strategies. Proactive customer churn prediction measures were implemented, allowing the club to retain more customers and reduce attrition rates. Automating marketing reports saved time and resources and made marketing campaigns more efficient and data-driven.

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