Personalized product recommendations are a game changer for every e-commerce business. When set up and driven automatically with AI, they can accumulate up to 30% of eCommerce site revenues.

With the new player in the market, you can hack your e-commerce search performance at a new level.

Meet OpenAI’s CLIP - the technology that can actually boost your search relevance.

Let’s explore how you can uplift your e-commerce business by introducing CLIP.

What is CLIP, precisely?

CLIP is an Open AI’s developed neural network that learns to associate text and images.

What does it do?

At its core, it understands that:

Mashed avocado is also a guacamole.

When used in e-commerce search, CLIP can perform “zero-shot” image classification - classify images it has never seen before based on natural language descriptions.

For example, CLIP can recognize an image of guacamole as a “green dip food” or “mashed avocados” even if it has never been explicitly taught those concepts.

If your online shoppers don’t know the exact name of the product they are looking for, they can describe it, and the CLIP will do the rest.

The image of a dark green fruit is of an avocado.

CLIP can also perform “zero-shot” text-to-image retrieval, meaning it can find the most relevant images for a given text query without fine-tuning.

For instance, CLIP can find products with images of “dark green fruit,” “blue male shorts for summer,” or “curly hair product,” even if it has never seen those images before.

Hacking e-commerce search performance with CLIP

CLIP can enhance your e-commerce search performance by unlocking two new ways of searching:

Using text queries to find relevant products (from images)

Imagine you have an e-commerce site that sells clothing.

With CLIP, you can allow your users to search for products using natural language queries, such as “a blue dress with floral patterns” or “a cozy sweater for winter.”

CLIP can then retrieve the most relevant products that match the query even if they lack in-depth product descriptions, labels, or precisely matching product titles.

Using image queries to find relevant products (from text and image)

You can also allow your users to search for products using image queries, such as uploading a photo of a product they like.

CLIP can then retrieve the most relevant text descriptions of products that match the image without requiring manual text processing.

CLIP, introduced to your e-commerce search, offers a more flexible, precise, and engaging search experience to your users.

It feels like a hack, yet it isn’t.
It’s your search, powered by advanced AI technologies.

If you want to introduce CLIP to your e-commerce search, you need an e-commerce search solution that supports CLIP and integrates seamlessly with your e-shop.

That’s where LupaSearch comes in.

LupaSearch leverages the latest Artificial Intelligence, Machine Learning, and Large Language Models technologies to drastically change e-commerce search.

Our recent integration with Open AI’s CLIP enables you to become an early adopter of the technologies that are revolutionizing e-commerce search.

Combined with fast, scalable, and accuracy-boosting Elastic 8.0, this set of technologies can change the way you do business online.

Request a free LupaSearch demo today and see it for yourself.