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Artificial Intelligence in eCommerce:

Customers may think that purchasing online is as simple as clicking, paying, and collecting. However, e-tailers face a different set of challenges. Behind the scenes, from warehouses to websites, artificial intelligence plays a significant role in automated processes. AI is being used by online retailers to solve complex problems and make online shopping more enjoyable. This could entail training software to recognize and process voice queries, recommending products based on a person's buying history, or sales forecasting.


Recommending Related Products to Your Search

Online shoppers will always leave the website if they don’t find anything of interest, or size, or if it is out of stock. The online portal can automatically suggest similar user items based on the customer's searched query using advanced codes. You've probably noticed that you'll get suggestions based on your search criteria whenever you search for a product. If the customer cannot find the correct size, the related items can be displayed in different sizes. 


These recommendations have an advantage over traditional AI-based solutions in that they do not rely on customer data or behavioral data. These recommendations, which suggest "based on your search" results, take into account the visual similarities of what the customer is scrolling and watching. To recognize clothing items, the features of those items are extracted using computer vision and an automatic image tagging tool.


The Popularity of Recommendation Engines

There are specific rules for attracting customers in traditional brick-and-mortar stores. They display the items based on the most recent trends and products, which will increase their profits when sold. They sort of hide the less expensive products on some difficult-to-see shelves so that people will only shop for the ones showcased on mannequins or kept right in front of them, believing them to be the "in-fashion" trends.


However, with the advent of e-commerce and the subsequent wave of digital transformation, retailers' goals shifted to "personalized merchandising" based on their customer's preferences. As a result, artificial intelligence is gaining popularity in the field of e-commerce.


The AI-enabled recommendation engines take into consideration the consumer’s behavior and pop-up suggestions on your screen such as “People Also Viewed”, “Customers Also Bought”, “Frequently Bought Together”, and “You May Also Like”. Although all these AI-based algorithms can work on sufficient data, we need to feed the data first, and it can happen only when maximum customers come to the website. If there is a lack of data, like for newly added products, then the suggestions can be disappointing and funny.


AI-powered recommendation engines consider consumer behavior and display pop-up suggestions on your screen such as "People Also Viewed," "Customers Also Bought," "Frequently Bought Together," and "You May Also Like." Although these AI-based algorithms can work with enough data, we must first feed the data, which can only happen when most customers visit the website. When there is a lack of data, such as for newly added products, the suggestions can be both disappointing and amusing.


Chatbots & Virtual Assistance

Of course, chatbots and virtual assistants are being adopted in a wide range of fields, including e-commerce. What these things do is to suggest to the user through chat the best suitable outfit or a pair of shoes or any such product so that the user gets the feel of a real assistant helping him/her during outdoor shopping.


With each customer who logs in, the systems are fed with data. Based on the data, the algorithms improve, and the consumers receive more appropriate and relevant suggestions for their search and previous purchases.


Pictorial Search

Have you ever been in a situation where you desperately want to find something online but don't know how to put it into words or what it is called in common usage? Most of you have probably been in this situation, which can be very time-consuming and irritating. The visual search or pictorial search comes in handy here. Using this method, people can take a picture of the product they want to find and search for it online. You've probably heard of Google Lens and Pinterest Lens.


Next Big Thing In E-commerce Industry

One of Myntra's AI projects is to develop a fashion assistant that can talk in a common language and recommend what to wear for various occasions. But "conversational flows are difficult to solve. This is very early. It will not see the light of the day very soon. 


Conversational bots are the next big thing all over the world. Artificial intelligence research is being advanced by technology behemoths such as Google and Amazon. "The machine can learn from how (customer service) agents respond to buyers. The next step is for a customer to say, "I'm going to Goa," and the assistant will figure out that Goa means beach and provide a list of products (to bring with them).


In A Nutshell

In conclusion, we can confidently say that AI is propelling the online fashion industry to new heights by trying to provide a complete customer experience. Several online fashion stores have used these techniques to attract and retain customers. Thanks to Artificial Intelligence, the e-commerce fashion store has grown to the point where most people find it convenient to buy online.