Development Technology Artificial Intelligence
How to use Artificial Intelligence in eCommerce

How to use Artificial Intelligence in eCommerce

Apart from product recommendations, artificial intelligence in Ecommerce industry is being utilized by online retailers for providing chatbot services, analysing customer comments, and for providing personalized services to online shoppers.

The truth is, the development of AI is increasingly important for those of us in the marketing game! It all boils down to machines being able to tackle tasks that would normally require our input, freeing up time and energy for us.
The key for us is not only how quickly these machines handle the tasks, but how much more efficient they do them as well. With new developments happening all the time in the world of AI, machines are not only conquering projects, but they’re learning while working!

How is Artificial Intelligence transforming shopping experience?

The use of artificial intelligence in online shopping is transforming the E-commerce industry by predicting shopping patterns based on the products that shoppers buy and when they buy them. For example, if online shoppers frequently buy a particular brand of rice every week, then the online retailer could send a personalized offer to these shoppers for this product, or even use a machine learning-enabled recommendation for a supplementary product that goes well with rice dishes.

AI Personalization in Ecommerce

Rated among the most effective modes, personalization is at the core of AI in Ecommerce marketing. Based on specific data gathered from each online user, AI and machine learning in Ecommerce is deriving important user insights from the generated customer data.For instance, the AI-enabled tool, Boomtrain is able to analyse customer data from multiple touch points (including mobile apps, email campaigns, and websites) to see how they are performing online interactions. These insights enable Ecommerce retailers to make suitable product recommendations and provide a consistent user experience across all devices.

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