Description

Product Recommendation Engine delivers personalized shopping experiences by suggesting relevant products based on browsing history, purchase patterns, and real-time behavior. Using AI and machine learning, it analyzes customer data to generate dynamic recommendations on product pages, in shopping carts, and through email campaigns. The platform supports A/B testing to measure effectiveness and integrates with major e-commerce platforms and marketing tools. Advanced algorithms consider seasonality, trends, and inventory levels to maximize cross-sell and upsell opportunities. Built-in analytics track conversion rates and customer engagement, ensuring continuous improvement. Product Recommendation Engine helps retailers increase average order value, improve customer satisfaction, and drive revenue growth through intelligent personalization.