Product recommendations in e-commerce search make up for 26% of business revenue.

Online shoppers who click on a platform-recommended product are 4.5X more likely to complete a purchase.

That said, product recommendations are a goldmine for every growth-oriented e-commerce business.

By providing a more advanced and personalized user experience, you can improve user satisfaction, achieve worthier average over values, and drive higher revenue.

And that’s not it.

Recently, a new AI-powered solution that is about to disrupt the traditional keyword-based search market and deliver even more advanced product recommendations came into play.

Meet vector search.

Why is vector search disrupting the e-commerce search market?

Traditional e-commerce search systems often rely on keyword matching, which may fall short of understanding the nuanced preferences and intent of users.

“A gift for coffee lovers” might be an unsolvable task for keyword-matching search engines. Because, usually, there is no product named just like that.

But that is not an issue for an e-commerce search that exploits advanced vector search opportunities.

Ok, but what is vector search, exactly?

Vector search is a technique that uses machine learning to create numerical representations of data, such as text and images, and then find the most similar items based on their distance from other vectors.

Vector search understands that behind “a gift for coffee lovers,” there can be more product options apart from just coffee beans or grounded coffee. Those are various appliances, coffee-making kits, and travel mugs.

This game-changing AI solution takes product recommendations to a whole new level.

How can vector search elevate your product recommendations?

In essence, vector search understands user queries just like a human. It deciphers the real intent behind a complex query and delivers highly relevant and personalized product offerings for a shopper.

How is it done?

Deep semantic understanding

Vector search captures semantic relationships and similarities between products. It allows the system to understand the context and meaning of products beyond simple keyword matching.

Picture a user searching for a “winter jacket.” With vector search, the e-commerce search can identify products that align with the user’s style (based on previously searched products) and preferences (female vs male clothes, brands, and price range), even if they don’t precisely match the search query.

Information extraction from product images

Vector search takes product recommendations to a new dimension by extracting information from product photos.

Traditional keyword-based searches often rely on extensive product descriptions, but with vector search, the system can analyze product images to understand visual features, styles, and attributes.

Imagine searching for a “blue mid-length winter jacket” and having all matching jackets recommended, even if they lack product descriptions.

Product-similarity based recommendations

Vector search exploits historical data and supports user-relevant recommendations based on the similarity of products.

If a shopper has viewed a specific product, the search engine can find and suggest similar items based on vectors. That means broadening the scope of recommendations and introducing users to products they might not have discovered otherwise.

Personalization, elevated.

90% of e-commerce businesses admit personalization has boosted their business revenues. Vector search helps you achieve that and beyond.

Using a vector search-supported e-commerce search tool (like LupaSearch), you can turn your e-shop into a top-class revenue-boosting machine.

AI-driven technology tracks and analyzes shoppers’ data (queries, clicks, and preferences) and transforms that data into each user’s taste-representing vectors.

Vector search can thus provide more accurate, relevant, and engaging product recommendations that increase customer satisfaction, loyalty, and conversion.

Uplift your e-commerce game with LupaSearch.

Empower users to find the best-matching products on your e-shop.

Exploit the benefits of vector search on your e-commerce website. Try out LupaSearch - a better e-commerce search solution that supports vector search.

Get into the core of each user’s search query and witness sales growth. Request a free product demo now.