The top priority of any business should be to give customers what they want. One of the benefits of modern technology is that it’s easier than ever to know what customers want. Companies are starting to leverage the power of artificial intelligence to predict what customers will like, allowing them to give customers personal recommendations. Since this is a growing trend across multiple industries, it’s worth looking at what types of platforms AI-based customer recommendations are using.
Streaming Services
Most people have probably noticed that movie and TV streaming services are making more of an effort to recommend new content that users may enjoy. By giving viewers a steady stream of recommendations, streaming services believe they can prevent customers from leaving for similar streaming platforms. Of course, that puts pressure on those recommendations to be accurate; otherwise, that thinking can backfire. Netflix is among the most notable streaming companies to use AI to analyze the viewing habits of its customers and make personalized recommendations. YouTube is doing something similar to suggest videos to watch, while Spotify has started to use AI to help users create a personalized playlist.
E-Commerce
For brick-and-mortar retailers, predicting customer desires has always been a tough task. However, some modern e-commerce platforms are using AI to predict what products customers will buy when recommended to them. Amazon is surely the best-known company that’s doing this.
Every Amazon customer has noticed personalized product recommendations, often immediately after making a purchase. Amazon is using AI to look at both browsing and purchase history to help make personalized recommendations. Obviously, the purpose from the company’s perspective is to boost sales. However, e-commerce sites can also improve customer satisfaction if they can accurately predict products that customers will like.
Online Casinos
Few industries have been better at leveraging modern technology than online casinos. They’ve improved graphics, gameplay, and the overall online casino experience, in some cases, making it preferable to visit a brick-and-mortar casino. Naturally, the most established and recommended online casinos also have a large catalog of games available. This gives players plenty of options, although it can also make it harder to find and discover great casino games. Therefore, online casinos are using AI to recommend games to players based on the types of games they’ve played in the past. Doing so helps build customer loyalty amidst a lot of competition in this industry, while also making sure great games don’t go unnoticed.
Social Media
Using AI to recommend content is right up the alley of most social media platforms. Facebook, Instagram, and TikTok are well ahead of the game in this regard. In fact, social media platforms that aren’t recommending content to users with the help of AI are becoming hard to find. After all, social media platforms strive to have users on their site for as long as possible. To accomplish that, they have to keep suggesting content that users will enjoy. With AI, they can make personalized suggestions based on past content they’ve viewed. By using AI to analyze past behavior, social media sites can also improve their targeted ads, so there are multiple reasons why social media has jumped headfirst into artificial intelligence.
Travel
The travel and hospitality industry has also been quick to adopt AI. After all, travel planning often comes with plenty of options. Customers have to pick a destination, a hotel, restaurants, activities, and other pertinent details during their trip. For frequent customers, AI can help suggest where someone should travel, where they should stay, and what they should do based on past travel habits, as well as what similar travelers have booked. With so many travel sites available, those using AI recommendations believe they can convert sales more efficiently and build customer loyalty if those suggestions prove helpful for travelers.
