πŸ‘©β€πŸŽ“πŸ›’πŸ‘¨β€πŸŽ“Ecommerce Search – Advanced topics

Searchandising is the process of using search as merchandising tool

E-commerce site search engines must be smart enough to recognize product names, categories, product attributes and do it in multiple languages. They also should know synonyms, ignore case, understand syntax, and more.

In this example, from, a user searches for a dark men’s jacket warm and finds winter jackets: dark blue, navy, and so on.

Using search synonyms to discover products in online store

Though the keyword dark is not mentioned in product names, the search returns relevant results. This could be achieved in many different ways, including an AI image recognition algorithm, which can tell the color to configure synonyms in the search engine.

Another example, from, shows how ecommerce search should effortlessly adapt to both singular and plural forms.

Compound words in German and Dutch languages are posing another challenge. For example, a user searches for a boor machine (drill) on and finds relevant results like klop-boor-schroef-machine (also a drill), which is a compound word made from 4 words: klop boor schroef machine.

ecommerce search with compound words

Typos can and are happening especially when it comes to brand names. Even if you do carry the brand, users may not be able to find it if there’s a spelling error. A spell-checker can correct the error to maximize the chances that they’ll get the result they want. Sometimes, the search queries are long and complicated.

Let’s say you have entered β€œlenovo 16gb ram laptops for business” on The site search is smart enough to return laptops that include: the brand name, the specified amount of memory, which is technically RAM, and labeled β€œGreat for Business,” This demonstrates the search engine’s ability to efficiently juggle multiple specifications from different data fields.

Semantic search is a technique that goes beyond finding keywords. It aims to determine the intent and contextual meaning of the words a person is using for search. This type of search can understand almost precisely what the user is trying to ask.

semantic search ecommerce

In this context, semantics refers to the philosophical study of meaning and is strongly linked to Machine Learning. It uses past data and trial-and-error patterns to enhance your user’s experience.
In this example from Bloomreach, search uses natural language processing, advanced attribute extraction, and past visitor behavior to surface the most relevant products. It can distinguish between product and brand name, ingredients, and measurement units.
You can use Semantic search to deliver a truly personalized user experience.

Fit learning Ecommerce into your busy schedule with Microlearning posts. Subscribe to receive weekly updates 

Courses for Professionals Building Ecommerce of Tomorrow

Courses for Business Leaders, Managers, Marketers

Ecommerce training by Michael Vax

Fit learning Ecommerce into your busy schedule with Microlearning posts.
Subscribe to receive weekly updates.

Your data will never be shared with anyone else

Harness AI Advantage

AI-Powered EcommerceΒ is the ultimate resource for professionals who want to understand and utilize AI’s transformative potential. It is the blueprint for understanding and applying AI, giving your business just the edge you’ve been waiting for.

The book aims to guide your exploration of the strategic implications of Artificial Intelligence for an online business. It’s not a technical manual or a list of -by-step instructions. Look at it as a toolkit designed to aid you, eCommerce professionals and entrepreneurs, extract the best from what AI offers to enhance and revolutionize your business.


Readers get a detailed analysis of eCommerce use cases for leveraging AI, recommendations on developing an AI vision and strategy for their business, and selecting the best technology to implement it.