A Match Made in Heaven

The Search Experience holds utmost significance in any customer-facing business. Inadequate speed or irrelevant results can quickly drive potential customers away within seconds.

To combat this issue, the most potent tool at a company's disposal is an AI-powered Search Engine Dottly. Our technology is particularly crucial for innovative startups like Cohart, an art marketplace that facilitates connections between buyers and sellers, especially when users must sift through thousands of samples.

This article dives into the challenges companies encounter when presenting a plethora of diverse results to their customers. Additionally, it offers insights on how to tackle these challenges by implementing more intelligent search solutions.

Bad Results can Kill your traffic

In today's business landscape, companies can no longer afford to deliver irrelevant search results to eager customers. The initial search conducted by a customer on your website can be the pivotal moment that distinguishes between a lost sale and a successful deal. This is precisely why leading global brands are prioritizing customer satisfaction by ensuring that users consistently find what they are searching for.

Cohart confronted a formidable challenge. Art defies precise description and categorization, and each art collector possesses unique tastes and preferences. A conventional search engine would typically rely on text similarity to identify matches. However, textual information alone cannot encompass all the nuances that define an artwork. Some customers are drawn to the vivid colors of a painting, while others appreciate the artistic finesse of a piece, and yet others are deeply moved by the profound meaning embedded in a masterpiece. Text alone represents just a fraction of the myriad factors that an art connoisseur considers.

With the power of Dottly, we now have the opportunity to capture the essence of each artwork and promptly deliver it to the right buyer.

How does an AI Search Engine work?

Dottly uses embeddings that are designed to encapsulate the essence or meaning of various items, placing them in proximity within a shared space. In simple terms, embeddings enable similar objects to be situated near each other. This concept of similarity opens the door to a host of valuable applications, one of which is the capacity to conduct searches using all available information sources: text, audio, images, descriptions, and comments.

Visualization of 2000 images distributed in space by the AI: images with similar content occupy the same region.

When conducting an image search, we transform our query into this mathematical space and subsequently retrieve the images that are closer to it.

The Cohart Seach Engine

In the following two examples, we showcase the next-generation capabilities of Dottly. When searching for an "image of a flower," Dottly AI can swiftly differentiate between various art mediums.

Instead, by searching for “photograph of a flower”, our vector-based technology is able to distinguish between the previously researched medium and the current:

Not only is the search significantly faster, but it's also incredibly flexible, capable of delivering results even when a user makes typographical errors and uses multiple languages.

The world is transitioning towards AI search engines.

Dottly plays a pivotal role in resolving numerous challenges faced by e-commerce platforms. Consider the relief of preventing user frustration, where visitors who arrive on your platform choose not to switch to a competitor. Additionally, AI can efficiently assist users who might struggle to grasp the underlying design logic.

The motivation for leading companies in the market to incorporate cutting-edge Artificial Intelligence into their software goes beyond enhancing user experiences. It also aims to reduce bounce rates and expedite the sales process.