Main AI Trends in e-commerce 2018

In the last few years, the era of digital marketing has captured the world. According to the eMarketer study, until 2020, sales in e-commerce are expected to exceed $ 4 trillion.

Today we will review the seven most significant e-commerce trends that marketers and consumers will face in 2018.

Smart Search is becoming Smarter

 Have you ever seen something that you wanted to buy, but had no idea where to find it? Whether it’s an online video or a stranger you met in real life – there’s not much you could do to find the desired object. Now with the advent of AI such opportunity exists.

The method of image recognition has existed side by side for a long time, but Artificial Intelligence finally made this method a mainstream and strengthened its influence.

Recognition of images based on AI allows you to take photos, save the selected image with your smartphone and get information about the product, its availability in the online store and the price, offering an exact match with the photo.

Now Google, Microsoft, Facebook or Yahoo will facilitate your life with their systems that recognize objects better than people do. Google’s Cloud Vision API allows IoT developers to identify objects on the image, recognize words or text, and even guess what feelings the person in the picture is experiencing.

Machine Learning with Artificial Intelligence

Given the immodest appetite for machine learning technologies in Silicon Valley and beyond, electronic intelligence and machine learning will continue to be introduced into the e-commerce sector.

IT Experts expect a real breakthrough in the appearance of new applications related to AI, which will allow retailers of e-commerce to offer customers exactly what they want in less time, with less effort.

Last year demonstrated the active introduction of chatbots in e-commerce, which attract more and more new customers and strengthen relations with existing ones. Such applications are being improved, based on artificial intelligence, they are able to learn and perform more complex tasks from resolving problems to implementing financial transactions.

Super accurate recommendations

Let’s return to the topic of online shopping. Let’s say you saw what you wanted to buy in the photo, checked the store’s website and almost made a purchase. Nevertheless, something distracted you, or you had doubts, lack of money or might be there were some other reasons. This often happens with every buyer.

Personalized advertising banners stimulate the momentum for making a final decision, demonstrating a reminder or showing similar products.

Of course, this is already a well-known tactic of modern marketers. Nevertheless, an interesting perspective in the near future for AI is the method of in-depth training – the innovative branch of AI. The banners might include your name, special discounts or some other personal data gathered by AI.

This method solves the problem, trying to simulate the work of neural networks of the human brain, in connection with which it can potentially bring normal retargeting campaigns to new heights.

The Future of e-Commerce

 E-commerce is managed by data in its nature, and marketers, vendors and distributors have already seen advice from AI in the form of personal assistants, chatbots, automated merchandising systems and retargeting.

But the combination of a new method of in-depth training from AI with e-commerce has not yet become widespread – at least not to the extent that neural networks are usually used.

By combining artificial intelligence with a huge array of data we will see a smarter, more intelligent online shopping ecosystem that can make the right decisions on its own – something that we could only imagine ten years ago, and now it’s definitely possible today.

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blogger.ashishsharma

I am Ashish, Content Marketing Head at WeDigTech (www.wedigtech.com). I would love to express my views on diverse subjects which are in vogue. It’s my passion to write on various aspects of technology, IT, Mobile & Web Apps and share my content with the readers.