August 25, 2022
No matter if you noticed it or not, you’ve experienced the power product recommendation engines hold. This is the technology that shows you other items you might like while you’re shopping online.
Product recommendation engines analyze data about shoppers to learn what types of offerings and products interest them. By serving personalized offers and products, businesses can drive sales.
In the past years, personalization has become king in the world of marketing.
According to a survey by Accenture, 91% of consumers are more likely to shop with brands that remember and provide relevant recommendations and offers.
This technology has become so paramount that the recommendation engine market is expected to reach $15.13 billion by 2026.
In this article, we will talk about what product recommendation engines are and why your e-commerce store needs one.
A product recommendation engine is a technology that uses artificial intelligence (AI) and machine learning to recommend a list of relevant products to users.
The goal of these engines is to increase the user’s demand and purchase as many items as possible.
Product recommendation engines analyze the following types of customer data:
Based on this information, product recommendation engines can display products that are relevant to the customer. The appearance of personalized recommendations is convenient for both e-commerce vendors and shoppers.
While e-commerce vendors will have the opportunity to showcase more products, shoppers won’t waste their time trying to find products that match their preferences.
Suggested read: How do recommendation engines for fashion eCommerce work?
In this section, we will talk about 3 ways recommendation engines are being used and why you need to get your own.
The most well-known use case for this technology is similar product recommendations. Your product recommendations should be your focus, especially if you have an e-commerce website with a large number of products.
Product recommendation engines can help users discover more of your products through social media images and user-generated content.
In addition, brands can use social media and product content to curate photos into inspiration galleries that are shoppable and instantly connect inspiration to purchase.
Shoppers’ purchase decisions nowadays are influenced by online reviews and recommendations from friends and family.
A brand can replicate this type of social proof with recommendation engines. Depending on the item the user is viewing, you can display related products that customer with similar buyer behavior has liked or purchased.
Below, we’re going to take a look at the benefits that product recommendation engines offer for fashion e-commerce businesses.
Suggested read: Drive Higher Conversions With AI-Powered Product Recommendations
Now that you know what product recommendation engines are, why they’re important, and how they work, it’s time to take things into your own hands and improve your e-commerce business.
Pixyle’s product recommendation engine can help you increase conversions, improve customer retention, and boost sales.
Don’t miss out on the chance to give your customers what they really need, a seamless shopping experience!