Transforming the in-store shopping experience with AI
At Macty, we developed a novel in-store experience, where users can upload images of outfits and we suggest lingerie to pair it with.
Our ‘Complete the Look’ application inspires customers while helping sellers increase the findability of their products and stimulate sales.”
We use advanced image recognition to detect visual attributes from outfits and lingerie to pair them together.
Here’s a demo of what this looks like:
You May Also Like
Get the Look on our Chatbot with Visual Search
Leveraging our image and pattern recognition technology, we developed a chatbot that enables users to search product collections using images. Additionally, users can search using both language and images together. For example, I like this item, but I want it with a longer skirt and a V-neck instead of high neck. See it in action here: Your browser does not support the video tag. From the video above, you can see you can perform the following actions: Upload a picture of something you like and …
Talk at ReWork: Deep Learning for Fashion Attributes Search
I gave a talk on how to use Deep Learning to search and serve relevant products to your web visitors. The fashion industry is a visual world. Millions of images are displayed everyday by fashion commerce sites to serve consumers the latest trends and products. However, automatically categorizing and searching through large collections of images according to fine-grained attributes remains a challenge. In this talk we present our research on deep learning techniques to automatically identify …
Cross-modal Search for Fashion Attributes
In this paper we develop a neural network which learns inter- modal representations for fashion attributes to be utilized in a cross-modal search tool. Our neural network learns from organic e-commerce data, which is characterized by clean image material, but noisy and incomplete product descrip- tions. First, we experiment with techniques to segment e- commerce images and their product descriptions into respec- tively image and text fragments denoting fashion attributes. Here, we propose a …
