How does AI-based site search identifies user intent?

Ecommerce websites that manage to get to the core of every user search query and deliver satisfying results win.

In fact, 39% of ecommerce purchases are influenced by a relevant search.

If your user is searching for a winter jacket, you must offer him something other than light summer clothing. You should match products with the search query. And that is precisely what an AI-based site search should deliver.

So, why is AI-based site search critical for your online business success, and how does it identify user intent? Read to find out.

Why should your ecommerce site search understand the users’ search intent?

These days users have finite levels of patience. Users use a search box as the fastest method to determine whether your store has a product they are looking for.

If a shopper types something in a search box, he expects you to deliver accurate results. If your store returns a zero-result page, some users might try one more time to rephrase their search query. If they do not find what they came for, they will leave your website.

That is why you have just 1 (max 2) trial to satisfy users’ requests.

By delivering a precise search result that a user was looking for, you:

satisfy the user’s request,
reduce noise,
increase conversion rates,
provide excellent user experience,
strengthen your brand reputation,
reduce customer acquisition costs.

Users who use site search usually double the conversion rates compared with shoppers who do not use search. But there are no limits to your business success. Businesses that introduced LupaSearch AI-based site search increased their conversion rates from 2.5X to 8X.

So, how can you better identify user intent and deliver a rewarding user experience?

How does an AI-based site search identify user intent?

An AI-based site search is one of the most effective existing and constantly improving methods to identify and satisfy user search intents.

Artificial Intelligence and Machine Learning

In such leading site search solutions like LupaSearch, users always receive custom-tailored search results. For example, when a user searches for Puma shoes but your store only has a few, AI starts doing its job.

A word2vec technology starts checking for any matches with similar words and phrases. That is why in the Puma case, your site search would return all relevant Puma sneakers and other similar-type sneakers of other brands.

Also, if the user previously browsed for Adidas and Nike sneakers, the site search would correspondingly rank those products higher on the search results page.

Natural Language Processing

Another critical function that helps the site search to deliver user-relevant results - is Natural Language Processing (NLP).

NLP translates complex user queries into computer-understandable pieces of searchable information.

Therefore, if your website visitor is searching for black noise-canceling wireless headphones, your AI-based site search, powered by the NLP algorithm, should process this query and deliver products that match the request.

This allows you to perfectly satisfy user requests and suggest only the most relevant products. If you offer exactly what the user looks for, you drastically increase the chance of a successful conversion.

Take the most out of your ecommerce business with LupaSearch

Increase your ecommerce store’s conversion rates by introducing an AI-based site search solution. The LupaSearch is compatible with all the major ecommerce platforms and supports many languages.

The best part is that you do not need to have any coding, machine learning, or search knowledge. The LupaSearch team is here for you.