The modern online shopper wants to find exactly what he is looking for ... instantly and without knowing the exact product description! The average online customer today is tired of scouring category pages in order to find the right product. Therefore, the onsite search in a modern online shop must be fast and intelligent, thus making it easier for shoppers to find the right products.

The days when it was enough to provide a simple search function are long gone. For example, as the Internet has undergone a complete search evolution, search technologies are now equipped with natural language processing, for example. Sophisticated algorithms, voice searches and many other innovations make it possible to predict and better coordinate searches. With the introduction of the semantic Instant Search, online shoppers can now find the desired products in an online shop easier and faster than ever before. Because only if the shoppers find the products quickly and easily, they can also buy. The online retailers can no longer afford to lose potential online customers to Amazon and others due to a bad onsite search technology.

Internet of things (IoT) devices, such as Amazon’s Echo and dash buttons, Google’s Home and others are starting to take a more active role in the shopping process. While it is possible for big conglomerates to convince shoppers to buy and use their devices, this option is entirely unavailable for smaller (and some even bigger) online merchants

The English language is made up of thousands of words. It’s no surprise that frequently, there’s overlap when it comes to what some words mean. Is there really any difference between “rough” and “rugged” or “clear” and “transparent”?

In some cases, word distinction is extremely important and if the precise word isn’t used, the entire meaning of something could be changed. Thankfully, eCommerce is not one of these settings and saying “fuzzy” vs. “fluffy” isn’t going to have a profound effect on someone’s ability to explain the type of sweater they’re looking for!

What does a product name like “Women’s Green Wool Sweater” really tell you? Well, to state the obvious, it tells you the following:

Leader in Natural Language Site Search Technologies Launches New Personalization Suite Powered by Predictive Analytics and Shopping Predictions 

LAS VEGAS, NEVADA - APRIL 04, 2017 /PRWEB/ Celebros, Inc. Magento’s Premier Site Search partner and global leader in natural language - semantic site search, navigation and merchandising technologies announced the release of its new Celebros PCE (Predictive Conversions Engine) personalization suite utilizing, site search predictions, predictive analytics, product recommendations, micro segmentation and 1:1 messaging.  The personalization suite is offered as an add-on to the feature rich suite of natural language conversion optimization tools offered by Celebros to its global online retailers across all eCommerce platforms.

Leader in Natural Language Site Search Technologies Launches a new robust user-generated SEO tool in time for the 2017 Magento Imagine Worldwide Conference in Las Vegas

Agoura Hills, California – March 29, 2017 /PRWEB/ Celebros, Inc. Magento’s Premier Site Search partner and global leader in natural language - semantic site search, navigation and merchandising technologies announced the release of its new Traffic Builder v2 dynamic SEO generator.  The Traffic Builder v2 will be added into the already feature-rich suite of conversion optimization tools offered by Celebros to its global online retailers across all eCommerce platforms.

Data is the driver behind every smart merchandising decision—after all, it’s a quantifiable representation of your customers, in terms of what they’re buying and spending. Leveraging sales data to power smarter transactions is a hallmark of a smart Magento ecommerce operator.

Typewriters gave way to computers. Floppy disks were replaced by flash drives. Polaroids were driven to extinction by the digital camera. As history has shown us, newer, better technologies are likely to always win out. What’s next in this progression of antiquated innovations? The answer is text-based site search.

Site search that’s still powered by keyword matching or plain text interpretation is soon to go the way of the dinosaur, in favor of semantic search and natural language processing (NLP). Why? Well, like all things now obsolete, it’s falling out of favor and unable to keep up with new demands from other technologies surrounding it.

In 2014, the world of computing as we know it changed. This was the year that mobile computing overtook desktop browsing, pushing smartphones and tablets into clear focus as the number one way people surfed the web. Today, this remains true and in fact, mobile browsing has blown desktop computing out of the water thanks in part to annual smartphone improvements and the rise of popular tablets like the iPad.

Words like “with,” “without” and “including” are simple enough to understand, but in the context of on-site search, they could have a critical impact on the results returned. They’re called qualifiers and if your ecommerce site isn’t equipped with a semantic search function like Celebros, it’s words like this that are going to cause you and your customers some major headaches.