Ecommerce sales rely on your customers finding products that they want to buy. Product recommendations are, therefore, one of the best ways to ensure shoppers discover new products on your site or app every time they scroll.
As your brand starts to scale up, it can become challenging to maintain personalization and build customer relations that don’t feel transactional. Now, this is where AI comes in. Collecting first-party data is the first step to improved recommendations, and 83% of customers are willing to share their information in exchange for a personalized online shopping experience.
In this e-book, we will cover:
- The Mechanics behind AI-driven Recommendations
- Key Metrics to Evaluate AI Recommendation Success
- Case Studies: Success Stories with ViSenze
- The Future of AI-powered Ecommerce Recommendations
With AI-powered product recommendations, you can automate tasks that would otherwise take a ton of resources, time, and human effort. These include:
- Customer loyalty points and bonus updates
- Social media integrations with the latest trends
- Real-time recommendation display refreshes
- Personalized discount coupons and seasonal offers
