AI-Based Recommendation Engine Benefits

When artificial intelligence is examined in general terms, it is an information system that "makes smart suggestions by learning and imitating human behavior and intelligence." The main purpose of the use of artificial intelligence in recommendation engines is to obtain specific data by tracking user behaviors, interactions, and interests. Based on this collected data, artificial intelligence is used in increasing the user experience on digital channels, both website and mobile traffic, and the sales rates made through these channels.

The fact that technology continues to develop rapidly with each passing day and the increase in brand competition on digital channels has led to many innovations and developments in this field. At this point, brands get to know their users and customers closely, offer them appropriate products and services, provide personalized experiences, and help these users interact by keeping their focus of attention on the brand, which is very important for their success in sales strategies. Unfortunately, it is impossible to conduct individual data analysis and user tracking to meet these requirements for brand success.

The use of artificial intelligence-based recommendation engines has become necessary for many companies to obtain accurate data and make appropriate customization for the users. So, what are these artificial intelligence-based recommendation engines, and what are the conveniences and advantages they provide to brands?

Benefits of Artificial Intelligence-Based Recommendation Engines

Artificial intelligence recommendation engines are information system products that monitor user movements, behaviors, interests, and preferences on a digital channel, offer unique products and services to that user, and have many advantages for brands. Considering these advantages, the main examples that can be given are:

• Improved Customer Experience: The most crucial relationship between a brand and its customer is knowing its customer. Customers who feel their needs are understood and met will often come to that brand and benefit from its products or services. Particularly, in terms of digital channels, it is a fact that users often go to the purchasing stage by interacting intensely on the websites or applications of the brands they are interested in. When this is the case, artificial intelligence-based recommendation engines strengthen the interaction between the user and the brand by collecting data about the users' interests at this point and by suggesting suitable products and services to the users by that brand.
• Increasing the Sale Rates: In fact, considering these advantages, all of which are interconnected, it is the most critical point for brands to have the proper interaction with the user in order to increase their sales rates and revenues. At this point, artificial intelligence-based recommendation systems analyze the interests and likes of users, offer products or services they will like in their next shopping or digital channel visits, and focus on successfully completing the shopping process, resulting in increased sales rates of brands.
• Providing Higher Customer & User Satisfaction: User satisfaction increases existing user shopping rates and enables potential new users to be reached. The more successful the artificial intelligence-based recommendation engines used by brands for their digital channels are in meeting users' needs, the more they help increase the potential of new customers for the brand

Implementing The AI-Based Recommendation Engines

When we look at many brands such as Amazon, Netflix, eBay, Trendyol, Spotify, or Facebook today, we see that one of the common denominators in their success is the products or services they offer specifically to their users. A brand's primary success goal is its interactions with its customers or users; in this way, users feel trust in brands and constantly maintain and increase their ties with them. That is why artificial intelligence-based recommendation engines are significant and even indispensable elements in order to offer customized experiences for users.

As Doğuş Teknoloji, we offer a product which helps you interact with your customers properly and provide personalized experience. Offering customized suggestions for users with the support of advanced technology, Recommaster is an artificial intelligence-based recommendation engine that collects data by analyzing users who visit websites or mobile channels online in detail, thus offering personalized and relevant recommendations.

Recommaster offers many innovations and features on both brand and user basis. It helps brands in terms of focusing on increasing the user experience and the number of potential users and revenue rates. By improving the interaction between the brand and the user with the detailed data analysis and suggestion, Recommaster allows brands to increase their website traffic, which eventually results in successful and increased sales.

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