Inside bareMineral’s AI–driven formula to help every shopper find their perfect shade match

No two conversations with Shopping Assistant are the same because no two shoppers are the same. 

Imagine you were a retail representative in a brick-and-mortar shoe store. Picture two different customers walking in. One tells you they’ve never shopped here before, and they’re just browsing. The other shopper gushes about how much they love the brand, they’re looking for running shoes, and they’ve looked at a few pairs online. You would handle each conversation differently based on the customer’s context. 

Now imagine AI can do this instantly, without human intervention. 

bareMinerals is a cosmetics brand renowned for its clean, mineral-based makeup and skincare. But finding the right shade match can be difficult through a screen. You can’t actually swatch the product, and you’re relying on images and customer reviews to find the best match. 

That’s where AI-powered product education and recommendations come in handy. bareMinerals uses Shopping Assistant to assist customers throughout every stage of the customer journey, from product discovery to shade matching to purchase. 

The Shopping Assistant tailors each conversation based on contextual cues, such as browsing history, cart activity, previous purchases, questions, and more. 

Let’s compare two conversations with bareMinerals’ Shopping Assistant to see its context-aware product recommendations in action. 

Shopping Assistant meets low-intent customers where they’re at

In this first example, the shopper shows low purchase intent. They start the conversation on the homepage with a broad question, “Do you sell skincare?” 

From there, Shopping Assistant asks follow-up discovery questions about the benefits and types of products the customer is searching for. It takes the shopper’s answers into account, helps them find the right formula and shade, and then recommends a personalized product that they can add directly to their cart. 

📧 Want a full video walkthrough of Shopping Assistant from one of our experts? Sign up for email access. 

For high-intent customers, Shopping Assistant steps in to seal the deal

Now, let’s take a look at an example where the customer shows high purchase intent. 

The customer begins their session by completing bareMineral’s foundation quiz, which recommends the Complexion Rescue® Tinted Moisturizer With Hyaluronic Acid and Mineral SPF 30 based on their skin details and preferences. The shopper visits that product page and scrolls to read more information.

While still on the product page, the customer asks a specific question in the chat bar, “I want a medium coverage foundation for dry skin. What do you recommend?” 

Shopping Assistant gathers all of the contextual information it has about the customer, like their quiz results and browsing the tinted moisturizer product page, to recommend and upsell the shopper on Complexion Rescue product bundles. 

The shopper then follows up with another high-intent question, asking what shade is one darker than their regular match. Shopping Assistant perfectly chimes in to answer the question and sends the product card with the shade pre-selected. This seamless, conversational experience ultimately leads to a sale. 

Hyper-personalization isn’t just a nice-to-have. It’s essential for increasing conversion, building trust, and creating an experience that feels truly tailored to each individual.