Explore the top 3 AI algorithms for eCommerce that are going o be a game-changer in 2021. Visual search, Content generation, and Hyper recommendation.

Visual Search

Visual search ai model
Fashion Visual Search introduced by IBM in 2020, source: https://cognitivefashion.github.io/portfolio/api_visual_search/

You go to the shopping center and see an astonishing leather jacket. Unfortunately, I had no time to try it on so I only took a picture through a in the shop window. After I come home I spent a couple of hours looking for that jacket with no success.

During daily life, we encounter many situations during which we are looking for a particular product. Whether that's a new car, an astonishing dress, or the vegetable I want to weigh in the supermarket to get a sticker.

Can you imagine how great would it be to get what you want based on some picture? You don't have to do it because AI is capable of all those things. The whole concept is called Visual Search and it is going to be a game-changer in the whole eCommerce industry.

Visual search uses real-world images such as photographs, internet images, or screenshots as an input for online searches. The main goal of those systems is to understand the content with the context of the image and return a list of products. The most common applications are in the space of home decor retailers and fashion. It helps to suggest products that are hard to describe in written language.

Content generation

GPT-3 by openai
Sample article about AI content generation, source: https://vasilishynkarenka.com/gpt-3/

One of the most popular concepts among marketers is SEO optimization. The main goal is to get traction on your website, social media, and other platforms. You can do it in many ways, the most popular one is pure content generation (articles, blog posts, product descriptions, tweets, posts, etc.). The more content you generate, the higher will be the chance that your potential customer will find it.

However, for many companies content creation is a time-consuming process that is why the solution might be Content Generation algorithms.

They can produce tweets, posts, or even a whole article for you in just seconds! The whole machine learning operations workflow is highly optimized and is capable to generate content targeted directly to a specific customer in real-time.

Therefore the next great example of ai algorithms for ecommerce is GPT-3. The algorithm introduced by OpenAI able to answer questions, reading comprehension, or even summarize text.

Hyper personalization

Netflix personalization by ai
Netflix has one the most advanced AI systems for eCommerce, source: https://slideslive.com/38917692/recent-trends-in-personalization-a-netflix-perspective

It is widely known that more and more eCommerce companies are empowered with 1-to-1 personalization. It is a practice of delivering a unique experience in the for of product recommendation or omnichannel personalization based on shopping data (previously seen products, past orders). In order to provide such a service, the whole system needs to work in real-time experience which done by highly optimized Machine Learning workflows.

However, today's marketing strategies extend far beyond traditional approaches. In order to increase the conversion rate of every single potential customer a new concept was introduced - Hyper-personalization.

The main goal of Hyper-personalisation is to collect not only shopping data but also 3rd parties information about the customer such as past locations, buying preferences, habits, behavioral data, etc. Everything in order to generate the content that perfectly matches your shopping needs. For example catchy title and description of the product that correlates to your hobby and passion.

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