Increase conversions : By making it simple and playful for your customers to express their wishes you will make them happy and increase the chance of a purchase.
Improve customer loyalty : Product Finder fulfils your customers’ expectations of good and competent advice by recommending fitting products. Just like in a real shop.
Get customer insights : Get to know your customers better so you can tailor your product range and marketing measures to their preferences.
Selling the right product to a customer who is still undecided is the art of every salesperson in stationary retail. From now on, AI will do this for you online. It evaluates the user’s input, correlates it with other users and recommends the right products to a customer – thanks to machine learning.
Use Product Finder to:
Why choose Product Finder?
In the blink of an eye, a quiz can be put together from the tags and collections in your shop. Use conditional logic to taylor the sequence of questions asked and the answers shown to match your shop.
The paradox of choice states that on the one hand customers are drawn to large product catalogs, but on the other hand they are more likely to make a purchase when choice is limited. Product Finder tackles this problem uniquely:
First it shows "Featured Products" that are reduced to the most relevant products matching a customer's answers. They are optimised by a self-learning algorithm based on other user's behaviour. Products that are too similar too each other are reduced so users are not overwhelmed with too many choices.
Secondly, for customers that do want to continue browsing further products are recommended by our AI. State-of-the-art machine learning methods are used to analyse product descriptions, categories and images from the shop to provide the best possible recommendations.
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].