ML algorithms enable e-commerce platforms to provide personalized product recommendations to users based on their browsing and purchase history.
Machine learning models can analyze historical sales data, market trends, and external factors to forecast future sales.
Machine learning enables e-commerce platforms to dynamically adjust prices based on factors like demand, competition, etc.
Machine learning powers intelligent chatbots and virtual assistants that can provide customer support, answer queries.
Machine learning can help identify customers who are likely to churn or stop using the platform.
Machine learning powers sophisticated recommendation systems that suggest complementary or similar products to customers
Machine learning techniques such as computer vision enable e-commerce platforms to analyse product images or videos.
Machine learning algorithms can optimize supply chain operations by analyzing data from various sources.