ShopLens — Ecommerce Customer Segmantation System

1. 1Collect customer data using APIs or web scraping
2. 2Preprocess data by handling missing values and encoding categorical variables
3. 3Apply clustering algorithms to segment customers based on demographics and behavior
4. 4Evaluate the effectiveness of the segmentation using metrics such as silhouette score
5. 5Deploy the model using a cloud-based platform to integrate with ecommerce systems

Data scientists and marketers can benefit from this system to better understand customer behavior and create targeted marketing campaigns

💡 Customer segmentation can help ecommerce businesses increase sales by 10-15% by targeting the right customers with personalized marketing campaigns

Boost ecommerce sales with customer segmentation using data science and ML!