The integration of Artificial Intelligence (AI) in e-commerce has revolutionized personalized recommendations, significantly improving user experiences and sales performance. This paper investigates the use of Deep Neural Collaborative Filtering (DNCF) to enhance recommendation systems within sales funnels. Traditional methods like collaborative filtering and content-based filtering have limitations in scalability and personalization. DNCF, leveraging deep learning, addresses these issues by capturing complex user-item interactions, thus providing more accurate recommendations. Our proposal integrates DNCF into sales funnels to optimize each stage of the customer journey, from awareness to purchase, employing techniques like A/B testing, order bumps, upsells, and downsells. This approach aims to increase conversion rates, average order value, and overall customer satisfaction.