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Top 3 Use Cases of Artificial Intelligence
in E-commerce You Must Know About

Ever since American computer scientist John McCarthy had first adopted "Artificial Intelligence" at the Dartmouth Conference in the year 1956, every industry is striving hard to make the most of it. Be it customer experience, intelligent operations, risk compliance, or revenue management; each sector uses AI to make the core processes more efficient than ever before. The result? The ecommerce enterprises have become capable enough to understand the product requirement of customers and offer them a personalized shopping experience, along with a sense of satisfaction that will bring them back to their site in the future. But the question is – is that enough on the ecommerce site's part? No, not at all. You can still delight your customers by introducing a product recommendation system based on accurate data labelling services offered by the best AI data labelling companies.

The next question that might come to your mind now is – how will the best AI data labelling companies help you, right? They understand your requirements first, like what do you want to do with labelled data. For example, if you wish to improve the product search relevance on your site or suggest related products to customers when viewing a specific product page. With their contribution, you can make the shopping experience of your buyers more enjoyable than before.

Once you have decided what you want to do, share your thoughts with your potential data annotator. As soon as they get your request, the first thing they will do is pick scores of unlabelled data. Then, they will label the objects in each image with a proper name and make sure they are perfectly accurate. At this stage, your training datasets got prepared, and the last step is all about training your machine learning model with those labelled training datasets. Once it gets done, it will predict the correct results in the future.

Now that you know crucial information about the best AI data labelling companies, it's time to see three significant use cases of AI data labelling in the ecommerce industry:

Personalized shopping
Product recommendations
Inventory management

Coming to the next question –

How do artificial intelligence and data annotation services help ecommerce industries?

Do you know what's one of the main functions of AI technology in ecommerce? They improve the quality of search engine results with the help of trained machine learning algorithms. It is the main reason you must pay attention to offering personalized results to each user's search query. This feature is vitally crucial for your potential customers who want to quickly find whatever they are looking for on your app or website.

But, to achieve that goal, you must understand first that personalized search engine originates from the well-trained machine learning models. These ML models factor in user preferences and their previous queries to deliver a specific outcome. Do you know how it will benefit you as an ecommerce company? The inclusion of personalized search engines in your core system will increase the conversion of your users into customers with the help of machine learning technology.

Search relevance

To let the visitor, go and find their desired products effortlessly, you can use query-based searches. Although a product search feature is one of the primary things for ecommerce sites, not all deploy it correctly. Take, for instance, small online sellers; they often need manually labelled data along with tried and tested machine learning techniques that are a bit far from their affordable range. Therefore, sometimes they can't implement the urgently needed solutions for their ecommerce site.

It will help if you keep in mind that a high-quality search means producing the most relevant results on entering a particular query in the search box. Suppose you succeed in delivering customers highly relevant search results when they try to make a purchase. In that case, you will excel as an ecommerce brand that offers a delighted customer experience at the end of the day.

Visual search

It is one of the top-rated tools in the current scenario that is transforming how people interact with ecommerce sites. In visual search, the search engine allows potential customers to identify and find items using some photos. This way, they can look for new brands and products and get them quickly by placing an order.

Attribute Mining

E-commerce is one of the largest industries where Attribute Mining gets used, including various characteristics of product categorization such as size, colour, gender, etc.

Final note