Effective Ways To Use Artificial Intelligence In e-Commerce

Artificial intelligence is not a new concept, but more and more brands have started implementing several AI systems to help in their business. Today, artificial intelligence can be used in a variety of ways. Here are some effective ways to use AI in e-commerce. 

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AI can help brands target the right audience. By filtering elements like location, age, gender, and other preferences, AI can bring your ads to your target market. AI can even go through purchasing patterns of customers and help suggest other items they might want to purchase that can complement that they already bought or are planning to buy. 

And not only can AI find out what consumers want, but they also adjust to every change in their profile. For example, a person moving into a brand’s area of influence will automatically see ads, or if they add a certain sport to their profile, AI can adjust to these changes. 

AI can also learn language and speech patterns. That’s why a lot of brands are investing in AI chatbots. This program lets them communicate with their consumers 24/7 and supply them with relevant answers to any queries. It can run all day and all night, which saves a company money compared to having actual people handling chat support.

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Abhishek Gattani is a senior director at Walmart Labs and, as head of the search, spearheaded the launch of the company ’s search engine and e-commerce platform, Polaris. Registering a 15 percent increase in sales, the platform now powers Walmart’s e-commerce products, including Walmart.com, store search, mobile web, and mobile apps. For more insightful reads on e-commerce, visit this blog. 

Machine Matters: The Impact Of Ai On e-Commerce

Artificial Intelligence (AI) is not sci-fi; it is a reality shaping many businesses and industries today. It powers the most impressive innovations in recent decades, and it is ruling information technology. E-commerce and retail are not exempt from its benefits. In fact, marketing, digital or traditional, has become so dependent on it to the extent that competition among brands has just turned up the pressure. 

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Still not convinced of the ubiquity of AI? You can turn to your home gadgets. Smart TVs, refrigerators, watches, and other devices compile the data they collect so that the internet can interpret the behaviors and habits of potential consumers. Much of AI relies on the Internet of Things, and marketers use data from such to optimize the performance of their platforms. Online retailers, then, can count on AI to point them to the direction of a potential online client at the speed of a click.    

The speed with which AI compiles and interprets data also defines market offerings. Its very large database will be the basis for improvements in and developments of products and services. Brands purveying the same goods can leverage analytics to differentiate themselves. Of course, all these will occur on platforms such as visited websites and social media. In many cases, AI can even penetrate chat apps through chatbots and gather data on market preferences and behaviors from there. 

Online retailers then should be aware of the wave of AI integration occurring in retail at the moment. Speed has become the name of the game, and it needs to be integrated into websites and other platforms where purchases and product selections occur. It is telling that today’s e-commerce websites cannot be powered by basic Web Dev, but an AI website builder. 

Moreover, the biggest tech companies such as Facebook and IBM are pouring money into AI and counting their dollars by its smarts. 

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Abhishek Gattani is the head of search at Walmart Labs and the founder and CEO of Cuberon. He spearheaded the launch of Walmart’s “Polaris” search engine, which currently powers many of the company’s e-commerce products globally.  For more updates on the world of e-commerce, visit this page.