7 Unique Ways Our Customers Are Using Seqwa

Personalized Product Recommendations

Seqwa is a cognitive search platform that uses machine learning and semantic analysis to make sense of the data in your enterprise. Seqwa helps you improve your conversion rates with intelligent ecommerce merchandising and better product personalization.

Simply said, personalization is the process of tailoring or customizing your message to your customers in real-time. Showing personalization means showing relevant content to customers based on their search history, purchase history, clickstream data, demographics and more.

It works like this: if a customer has viewed or purchased a product from a particular category (say “Bedding”) in the past, then we display that same category when they visit the home page (here’s an example).

The idea behind this is to provide easy access to products that are most relevant to each customer. This helps improve conversion and also increases average order value by prompting customers to buy more products in one go.

Recommendation Engine

A recommendation engine is a system that recommends items, normally to customers or users. Recommendation engines are a type of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.

Ecommerce websites need search functionality. Yet, ecommerce’s unique product data creates challenges for traditional search solutions—like using a general purpose enterprise search engine on an ecommerce site. Ecommerce sites require best-in-class search, navigation and merchandising features to improve the customer experience and drive revenue growth.

This will boost sales as it is much easier for a customer to click “buy” if they have already seen similar products before.

This is especially helpful if you are targeting a specific demographic or want to create an experience that caters to specific customers.

Suggest Similar or Related Products

Seqwa's similarity detection is based on the combination of image and text features. At the same time we do not require a manual tagging and/or annotation process, so that you as a merchant can use our features out-of-the-box.

Using its powerful algorithm, Seqwa considers not only the attributes of a product itself but also the context in which it is viewed and the behaviour of your customers.

You might have noticed that online stores often suggest products that are similar to the product you are viewing. This is called a "recommendation widget", and it's a great way to increase sales on your store by showing customers products they might not otherwise see. But how do you know what products are similar? It's difficult for a non-expert to understand how two different items can be related. Seqwa solves this problem by using state-of-the art artificial intelligence techniques called "semantic search" and "natural language processing". These techniques allow us to understand the meaning of different words, so we can find related products even when they don't share any keywords with each other.

Our hybrid semantic search engine is a combination of machine learning and natural language processing that works with words and uses a synonym database to better understand what you're trying to find.

If your customer searches for "red dress" with Seqwa, results will include dresses in red, pink or burgundy. If they search for "kitchen cabinets", our search engine will take them to the kitchen department.

The most common reaction to any given product is "Hey, this is cool, but can I see something similar?"

You can find other products that have similar attributes and characteristics – for example, if the current product is a red sweater with a zip in front, we can suggest a black sweater with buttons down the front.

For example, if you sell a sweatshirt with a hoodie in black, then we can show a similar sweatshirt with a hoodie in gray. This is possible because we have analyzed the content of the article and recognized that you are talking about hoodies and sweatshirts here.

Personalized Email Marketing

When you send marketing emails with new products, you can personalize and rank the products based on your customer preferences with Semantic search.

You can use this ranking method for all your emails and campaigns, but it is especially useful for newsletters. Seqwa is a great way to engage your audience because it allows you to send personalized messages based on each customer's unique preferences.

For example: If a customer buys a pair of shoes in your online store, then you can use the semantic search feature to find similar products that match that customer's preferences. When you create an email campaign, Seqwa will personalize the products according to each customer's preferences and rank them accordingly.

Let's say that you have three customers: Alice, Bob and Charlie. You just added a new pair of sneakers to your online store and want to promote them through email marketing. The problem is that you don't know which customers would be interested in this new product.

It's a new way to elevate your communication with customers by leveraging AI that finds new opportunities for personalization. Semantic search provides personalized recommendations for each individual customer based on their buying history, previous interests, and more. For ecommerce stores, this would be an email with offers or new product recommendations in it.

Semantic search is the future of Search. With Semantic search, you can find what you want by using natural language instead of keywords. For example, if you wanted to buy a new shirt for your business meeting, you could say "I want a formal shirt that looks like my favorite shirt." In this case, your favorite shirt's color, pattern and style will be used to find similar shirts in our database.

This will lead to higher open rates and click through rates. You will also receive data about customer interests and preferences.

Personalized Blog Recommendations

Seqwa can increase your readership and engagement with your blog or content site. With our semantic search, you can show personalized blog recommendations to your readers based on their reading history.

Here's how it works: A user visits your site, reads some articles, and leaves. Next time they visit, we recognize them and show them personalized recommendations based on what they read last time.

Anyone who's worked with online advertising knows that it is far more effective to target individual users based on their interests than to show random ads to everyone. Seqwa works much the same way: instead of recommending the same article to every visitor, we can target individuals based on what they've shown an interest in previously.

On the internet, people can find content on any subject, from any source. Seqwa takes this a step further by creating personalized recommendations for readers based on their reading history.

Recommended articles are a common feature in most content sites, but they are often decided on by content owners and not the reader's personal interests. Seqwa can help you increase your readership and engagement with your blog or content site. With our semantic search, you can show personalized blog recommendations to your readers based on their reading history.

The example below shows how Seqwa can provide personalized article recommendations based on what the user has read previously. In this example, we have two friends who read a lot of tech blogs. The one on the left is focused on reading content about Google while the one on the right is interested in Samsung news. If you put both these users through Seqwa's API, even if they have never interacted before, we will be able to pull out their interests based on what they have read previously.

For example, if a user has been reading articles about Apple Inc., using Seqwa Search will allow showing related content like Steve Jobs's biography, iPhone X reviews, and news about Apple products.

Seqwa locates similar articles by analyzing what it knows about the reader and what it knows about the article they are reading. If a reader likes one article, Seqwa will find similar articles (from your own site or another site) that it thinks they will also like.

As a content creator, you know how important it is to make sure your readers are coming back for more. Seqwa can help you increase your readership and engagement with your blog or content site. With our semantic search, you can show personalized blog recommendations to your readers based on their reading history.

Creating great content takes time and effort. As a blogger, writer, or content creator in general, you spend a lot of time building up your writing skills and creating content that engages and inspires people.

That's why we wanted to create a way for you to implement personalized blog recommendations that enable you to get the most value from the great content you write. Seqwa's semantic search helps match readers with similar interests in the topics they care about most.

Suggest Similar Posts

Seqwa's semantic technology works by extracting the important entities (people, organizations, events, etc.) from each blog article and then comparing these entities across all of the articles in a website. Based on this comparison, Seqwa determines which articles are most similar to the current one. Then we display these similar articles as recommendations on every page of your site. The more articles you have in your website, the better our recommendations become.

The Seqwa recommendation engine is a new way to keep your readers coming back for more. Seqwa uses semantic search technology to recommend content that's not just related but similar to the content a reader is already consuming on your site.

The more relevant the content, the better your SEO and the higher your readership.

This is a great way to engage readers and increase pageviews on your site. Thanks to our semantic search, you can show articles that are related in terms of meaning, rather than just keywords. This makes for more relevant and interesting recommendations for your visitors.

Seqwa is based on semantic search technology, which means it automatically understands the topic of each blog post and then show recommendations for similar articles.

There’s no need to tag posts manually (although you can if you want). Seqwa uses its semantic engine to figure out the topic of each post so it can recommend the right posts to your readers.

Email Newsletter with Personalized Blog Recommendations

The idea is to help you deliver the best content to your readers by analyzing their interests and preferences. This will in turn help you reach a bigger audience, increase the number of subscribers and finally generate more revenue.

Seqwa analyzes each article from all of your published blogs and ranks them based on each reader's interests and reading history. It combines all the articles into a single newsletter and sends it to each reader once a month.

Let's say, you have three published blog posts: Article 1, Article 2 and Article 3. And let's say you have ten subscribers: Subscriber 1 to Subscriber 10. Each subscriber has different interests on different topics. So Seqwa will rank those three articles individually for each subscriber before delivering them their monthly newsletter.

Seqwa is a personalized ranking of your latest blog articles delivered to your users through your newsletter.

Our algorithms analyze which articles each reader is most likely to enjoy based on their reading history. We then rank and deliver these articles directly to your users' inbox through your existing newsletter.

Seqwa is a must-have tool for every blogger out there. It helps you keep your readers engaged with your blog and topics they are most interested in by analyzing the user behavior and personalizing the content accordingly.

With Seqwa, you can deliver engaging blog articles to your readers through your newsletter with the personalized ranking of your latest blog based on your reader's preferences and reading history. This helps in increasing the engagement rate between you and your readers.

Increase the engagement with your readers through a more personalized experience. Increase the traffic to your blog and increase the time spent on each article by each reader. Get a better understanding of your readers and tailor future content for all or specific readers.

One of the challenges for bloggers is building an audience for their work. We can solve this by focusing on the user experience, with the goal of delivering relevant and engaging content that keeps them coming back for more.

Our goal is to create the best experience for both you, the author, and your readers by automating some of the pain points in reaching your audience.

Our AI will do all the heavy lifting for you, curating and ranking your blog's latest articles based on your reader's preferences. By delivering personalized content, you can increase readership and engagement on your site by up to 25% compared to generic newsletter.

Writing Assistant for a Research Article

Seqwa provides a solution to this problem by not only finding similar articles, but also providing semantic search capabilities which allows you to search for articles by context and not just keyword.

Seqwa is a unique tool that can take your documents and extract the key topics from them. By doing this Seqwa allows you to browse through the document collection based on both similarity and topic distribution. This tool is useful for anyone who is looking for more context in their searches as well as anyone who wants an easier way of finding relevant documents.

We are excited to launch Seqwa, a search engine that finds documents related to the one you are writing. Seqwa has been trained on over 1 million documents from various scientific domains. The user interface is simple and intuitive.

Seqwa can also search articles with keywords with additional context. For example, if you want to find articles that have the word ‘cancer’ but only when it is related to ‘immunotherapy’ and not when it is related to ‘chemotherapy’.

Seqwa is a search engine that assists scientists in their research and writing. Even if you have a general idea that certain words will be present in the paper such as ‘immunotherapy’, Seqwa can find thousands of relevant documents that you can use to finish your research and writing.

In addition, our powerful algorithm can understand and help you find articles based on what they’re about and not just their textual content. Seqwa is indispensable if you need to find related or relevant information quickly or if you just want to spend less time searching for articles.

Seqwa helps you write better. Feed it some text and it will suggest snippets to include in your document.

Are you tired of looking for documents online and manually searching for co-occurrence of keywords?

For example, lets say I am writing a report on a particular fruit and I want to do some research for the report. Seqwa will help me find documents about similar fruits. When I enter "apples" as my keyword, I would get results like: "apples" vs. "oranges", "apples" vs. "bananas", etc...

In addition, if I enter "apples" as my keyword, Seqwa will provide me with results of articles where the word "apple" was used in the following contexts: "fruit", "food", "nutrition", etc...

Searching for a specific phrase or sentence in online research articles can be difficult as the sentence is rarely exact. Also, it may be hard to find similar sentences in other articles. Seqwa allows you to search for both of these types of searches.

Seqwa is a search engine that uses natural language processing to understand context in search queries and returns the most relevant results. The user searches for an article and we return articles whose content is similar to the query with additional keywords from the query in the returned articles. These additional keywords can be used as a filter on our semantic search results.

Seqwa is a semantic search engine that is used to find articles on the internet. It uses advanced algorithms that find documents similar to a given document or keyword. The results are more effective then a traditional search engine, because they are based on the meaning of words instead of having them appear in an exact order as in Google.

Seqwa is an intuitive, easy-to-use tool that allows you to research and write academic documents in a streamlined, stress-free way. It’s the only tool designed specifically for students and faculty, who often struggle with the organizational aspects of writing. Seqwa makes it easy to create and share outlines, plan a schedule for your document, organize your references and citations as you go, and more.