Shopify App : Arc53 ‑ Similar items AI
Get recommendations for upsell using Deep learning
About Arc53 ‑ Similar items AI
Native Shopify support🏗 : Easily integrate it with modern shopify themes. We will make sure that it will match your style
Boost your sales 🚀 : AI will boost your sales by suggesting items that your customers are interested in. Our customers increase their revenue and engagement
Revenue forecast📈 : It discovers patterns that are unseen by other recommendation systems. Deep learning is the future
Arc53's Similar Items AI is an app that recommends products based on customer's interactions. This app helps to increase your sales and conversion rates by providing customers with similar items that they are likely to purchase.
Arc53's Similar items AI is a deep neural network-based recommendation engine that recommends products to products for customers based on their interactions. It can be used to recommend similar items to other items which were bought together in the past or to recommend new products to customers who might like the same types of things.
Similar items AI can be activated in the admin panel under Online store > Themes > Customize > Product > Apps> in add block choose product recommendations by Arc53, and it can be set to different image size, you can adjust padding as well to fit in your theme perfectly.
When activated, the Similar items AI will provide you with a list of products that are similar to the one that is displayed and products that are bought frequently together too.
Seamless workflow: use directly in Shopify admin
Up-to-date tech: works with the latest themes
About the Author
Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.
Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.
Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.
Visit his website at [ Web Linkedin ] or contact him at [email protected].