RETHINK Retail’s Solution Spotlight shines a light on industry vendors and what makes them distinct.
This vendor spotlight is on Constructor.io, the only AI product discovery platform designed explicitly for ecommerce retailers.
Constructor’s cloud-based solutions use natural language processing, machine learning, and collaborative personalization to deliver powerful user experiences across all facets of product discovery—from search to browse, recommendations, collections, and autosuggest. It works with some of the biggest brands in retail like Sephora, Backcountry, Bonobos, Serena & Lily, Target Australia, Birkenstock, and more.
To learn more about Constructor.io, visit: https://constructor.io/
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My name’s Eli Finkelshteyn and the company’s called Constructor and I’m the CEO of the company. I’m also one of the co-founders. We’re a product discovery platform that’s built for e-commerce for larger retailers. And what we do for those retailers is when somebody comes to one of their websites like square.com or backcountry.com or americaneagle.com, whether they’re searching for something or they’re browsing category pages for something, whether they’re getting recommendations for something, anywhere that you can show the user a product, our job is to make sure that the product that the user sees is going to be attractive to them. It’s going to be personalized to them. And most importantly, it’s going to be optimized for what the retailer really cares about, what drives their business, what success means for them.
What we really want to do for e-commerce is, it’s a lot like Netflix, and it’s a lot like Spotify, in that people are coming to these websites because they want something. You’re coming like an American Eagle. You’re coming to Sephora. You’re coming to a Bonobos because you want to buy something. And if we can make that experience better for you through understanding what sorts of things you like, what are your tastes, what’s your size? What do you tend to buy? Giving you something that is discovery, something that you actually want to see? That’s the sort of personalization that’s empowering. That’s the sort of personalization that people don’t try to shy away from. It’s the sort of personalization that people actively want.
What we’re really good at is making something where you can measure success. It’s not just that it shows you something that looks fancy. It’s that we decide together with the retailer, and ideally, the retailer’s thinking about this the right way together with their users too. What does success look like? What does a better experience for them look like that, that lets the retailer do more business that is a better experience for those users as well?
If we are able to show you something that you really love as a user, that’s going to be good for the retailer. It’s going to be good for you as a user. And if you measure it, if you be AB test it, if you’re looking at cohort analysis or anything like that afterwards, you can actually see in the sorts of metrics that you care about, conversions, revenue, whatever it is, that it’s actually leading to a lift.
And that’s one of the things that I’m really hoping that the industry starts to understand more about personalization. It’s not about just what does it look like? It’s not about what demos well, it’s about what does success mean and how do you measure it, and how do you force everybody to prove to you that they’re actually successful with it?