Digamma.ai CEO Q&A Series: Oliver Tan, CEO of ViSenze
1. How are you looking to fundamentally change the online shopping experience for both consumers and retailers through ViSenze?
Visenze’s mission is simple. We want to simplify the way people discover the visual world with a clear philosophy: “Search not by keyword but by image.” By this, we mean revolutionizing search not by processing standard metadata, but by processing pixels, images, frames and videos and extracting all of this intelligence to help shoppers find things that they want. Pixels represent a trove of intelligence. We want to transform how image queries are conducted, both online as well as in the real world.
2. Using machine learning and computer vision technology, ViSenze can recommend visually similar items to online shoppers. Other companies claim to do this as well — what are the key advantages of ViSenze’s technology?
The space in which we operate, namely visual search and image recognition have been around for a while. It’s not a new space. Every company focuses on a couple areas in order to be better and sharper than their competitors. Similarly, for ViSenze, we’re not a general visual search company and, in every vertical that we focus on, we get down to the granularity and specificity of the domain itself.
We get down very deeply in understanding different visual attributes. For instance, in the fashion space, you need to understand the distinction between a mandarin collar and a standard collar. You also need to understand different types of sleeves: is it a half-shoulder sleeve? A cap sleeve? A quarter sleeve? We get down to that level of specificity in the very same way that a shopper would walk into a store and look for a specific dress knowing what she wants.
If we can at least equal that experience online by aggregating all these search attributes into an intelligent method of recommendations, we would have been very helpful to the online shopper.