Are you a growth-focused e-commerce owner? Then you don’t want to miss the latest e-commerce market buzzword: “vector search.”

It might be the single solution that can drastically improve your site’s product discoverability and boost conversion rates.

Vector search fully replaces widely used yet limited keyword matching.

How?

It understands the context and semantics of a query.

This is achieved with the Word2vec technique, which converts text into high-dimensional vectors that capture the meaning behind the words.

For example, vector search doesn’t just match words; it understands that “blender” and “mixer” are closely related. Even though these appliances are slightly different, in certain contexts, vector search can identify that users might be interested in both.

Vector search is probably the number one tool you should now apply in your e-commerce search.

How can vector search improve your site’s product discoverability?

It perfectly understands the context of users’ queries

Vector search seamlessly understands context.

For instance, if a customer searches for “winter running gear,” a traditional search might focus on the word “running” and return irrelevant results like lightweight running shoes or summer sportswear.

In contrast, vector search recognizes the importance of “winter” in this context, returning more user-relevant products like thermal running jackets or insulated leggings.

It helps users search for products from photos

Your users can find products simply by uploading an image. For instance, if you take a photo of a stylish pair of sneakers you see while shopping or capture a beautiful dining table at a restaurant, just upload the image to the search.

The vector search engine (like LupaSearch) will automatically extract details like color, texture, and design, and find similar products—no need to describe them.

It seamlessly handles synonyms

E-commerce search, powered with Vector search, understands that “laptop” and “notebook” can mean the same thing in a given context.

This feature reduces the chances of missing relevant products simply because the user types a different term than your product descriptions.

It delivers faceted queries without a manual filter pick

Additionally, vector search can handle complex, multi-faceted queries more effectively.

If a user searches for “affordable blue summer dress,” your site search will understand the relationships between these terms and return the most relevant products, rather than just those containing all the words.

It matches products, even without detailed product descriptions

Do your products lack in-depth product descriptions? With vector search, you don’t lose potential sales.

Your search engine can still understand the product and its key attributes by analyzing product images.

This allows the search engine to match user queries with relevant products, ensuring that items without descriptive text are still easily discoverable.

Ready to boost your product discoverability?

Whether you’re running a small boutique or a large online store with a wide product assortment, investing in vector search technology is a strategic move that can drive long-term success.

Boost product discoverability and user satisfaction with LupaSearch, the leading e-commerce search provider that supports vector search.

Request a free product demo and introduce a solution that will transform how your website users find and explore products in your e-store.