How AI and Machine Learning are changing the Ecommerce Industry

The eCommerce industry is booming. In 2016, global retail eCommerce sales reached $1.915 trillion, and they’re expected to grow to $4.058 trillion by 2021. That’s a lot of money changing hands, and it’s no surprise that businesses are scrambling to get a piece of the pie.

One of the most important factors in eCommerce success is the ability to quickly and accurately identify customer needs and preferences. This is where artificial intelligence (AI) and machine learning come in. These technologies are transforming how eCommerce businesses operate, making it possible to deliver a personalized shopping experience for every customer.

In this article, we’ll explore how AI and machine learning are changing the eCommerce industry, and we’ll look at some of the businesses leading the charge.

Before we get into the nitty-gritty of AI and machine learning, let’s take a quick look at how they work. If you’re looking for a quick overview, here’s a video explaining the basic concepts.

First, let’s quickly break down the difference between AI and machine learning.

AI vs. Machine Learning

As its name implies, AI is a form of technology that “acts like” a human. It can analyze vast amounts of data and make decisions on its own. Machine learning is a bit more complicated but also a lot more powerful. In a nutshell, machine learning is a type of AI that enables machines to teach themselves. This means that machines can get smarter over time and make more accurate decisions as they learn from their experiences. The examples below illustrate the difference between AI and machine learning.

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Machine Learning

While AI is a broad-based technology, machine learning is a specific subset of AI that focuses on data and information. In other words, machine learning is a way to make AI more intelligent, but it doesn’t mean that AI is intelligent.

Let’s take a look at some of the companies that are leading the charge in the AI and machine learning space:

Amazon

Amazon is widely regarded as the world’s largest online shopping company. Amazon’s eCommerce business grew by more than half in 2017. Amazon’s business model is to make money by selling various products and services, including consumer electronics, clothing, home and garden items, kitchen appliances, and much more.

Amazon aims to use AI and machine learning to make its shopping experience more personalized and convenient. They’re also building a catalog of products and services they can offer to shoppers later.

Amazon has already developed AI and machine learning technology that makes it possible to identify customer preferences and highlight relevant products. This technology can help eCommerce companies more accurately predict whether a customer will be interested in a product and help shoppers find items that are right for them.

Nike

Nike is one of the world’s largest sportswear companies. They make many products, including athletic shoes, clothing, and equipment. They offer their products through various platforms, including online and mobile.

Nike has been using AI and machine learning to deliver a more personalized customer experience. They’ve also been using AI and machine learning to help their customers make more informed decisions.

The Nike app uses AI and machine learning to help people make better decisions about their running gear. The app analyzes data and tells you how to train and wear your shoes. It also helps you to know your body and how to best use your equipment. The Nike app uses AI and machine learning to understand and analyze running data.

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Benefits of Using Artificial Intelligence in Ecommerce Companies

AI and machine learning are driving many changes in the eCommerce industry. Here are a few ways that AI and machine learning are improving the shopping experience.

Personalized Shopping Experience

A personalized shopping experience is one of the top priorities for eCommerce companies. However, AI and machine learning are the perfect solutions when it comes to making the experience more personalized.

One can use AI and machine learning to help eCommerce companies better understand their customers. This includes more accurate recommendations, faster and more efficient shopping experiences, and more.

AI and machine learning are enabling eCommerce companies to understand their customers better than ever before. This means that they can deliver a more personalized shopping experience, helping them sell more products and services. AI and machine learning are taking personalized shopping to a whole new level.

Faster and More Efficient Shopping Experiences

One of the biggest problems with eCommerce today is the time it takes to process a customer’s orders. Getting a shipment out can take hours or even days, which can be extremely frustrating for customers.

AI and machine learning are changing this. For example, AI and machine learning can scan products and identify the right ones. This can help eCommerce businesses figure out which products to send to customers immediately.

If you want to know why this is such a big deal, let’s look at this improvement’s impact. If eCommerce companies can determine which products are best for customers, they can save time and effort. This means that they can focus more of their resources on finding and selling the products that are going to be the most profitable.

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Ease of Use

AI and machine learning are also making shopping more convenient for customers. This is great news for shoppers because it means they can shop anytime and from any place.

AI and machine learning are making it easier for customers to find and buy their products and services.

Conclusion:

Whether you’re a small business or a large corporation, you can take advantage of the benefits of AI and machine learning. AI and machine learning are making shopping more convenient for customers. This makes it easier for eCommerce companies to sell more products and services.

Undoubtedly, AI and machine learning are changing the eCommerce industry. AI and machine learning applications are endless, and we’re just scratching the surface of this technology.

Author Bio:

Prashant Pujara is the CEO of MultiQoS Technologies, top iPhone App Development Services In USA with experience in on demand Marketplace App Development Solutions where you can hire app developer for your business. He oversees the company’s commercial and delivery operations, as well as strategic planning and strategy.