What's wrong with eCommerce discovery in 2023?

Ecommerce discovery in 2023 has a problem and it's plaguing both customers and retailers. In this article, we explore the problem and offer a solution that's worked for two leading retailers.

by Jess ErdmanContent Marketing Lead

The Latest

Fashion Face-Off: Virtual Stylists vs. GPT AI Stylist

Virtual stylists are rising in popularity as a way to get personalized fashion advice without leaving the house. Fashion favorites like Nordstrom, Revolve, and other typical virtual stylist services now allow you to access a personal stylist online and receive styling advice over a video chat. But, what's the best option for retailers looking for scalable, data-driven personal styling solutions?

by Jess ErdmanContent Marketing Lead

Blog

The Future of Visual Search in AI

Visual Search in AI has caught the attention of everyone from Kim Kardashian to Amazon, and it’s taking the fashion world by storm. In this article, we compare and contrast different visual search methods: camera search and visual interface.

by Jess ErdmanContent Marketing Lead

Blog

AI Personalization Is the Future of Shopping

Personalization isn’t a new conversation in eCommerce, but with the help of AI, it’s becoming more powerful than ever before. Recent advances in fashion AI give eCommerce retailers the opportunity to create hyper-personalized shopping experiences, tailored to each shopper. We explore how AI personalization can change the game.

by Jess ErdmanContent Marketing Lead

Blog

Building Men’s Outfits with the Virtual Mannequin Filter

Finding men’s outfits online is not an easy task. The Virtual Mannequin Filter is changing the conversation around shopping by making discovery visual and intuitive. Watch as we build a men's outfit for summer, using the VM Filter.

by Jess ErdmanContent Marketing Lead

Blog

Human vs AI Stylist: Who has the best eCommerce recommendations?

In the world of styling, human stylists are considered the experts. But, how does that stack up against AI? Is AI more effective than human stylists? We explore the limitations and potential of both.

by Jess ErdmanContent Marketing Lead

Blog

3 Steps to Train Fashion Machine Learning for Vibe Recognition

When it comes to vibe, the difference between “romantic” and “casual” is subjective, depending on each person’s opinion. But, shoppers want to filter by vibe. In this article, we go over how we trained our fashion machine learning to recognize complex attributes like vibe.

by Jess ErdmanContent Marketing Lead

Case Study

Curious to see how the all-in-one discovery solution works for you?