Adding AI to your personalization toolset allows

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At the heart of this popularity is a key fact: machines can process data much faster than humans. This is why AI can take all of your customer data and recommend personalized products to individual customers in real time.

you to provide real-time support to customers in a way uk mobile database that simply isn't possible manually.

It’s no surprise that 82% of industry professionals believe AI is useful for improving customer experience. It can be leveraged throughout the customer journey to deliver personalized content.

Let's look at a few ways in which AI plays a vital role in personalization.

Content Identification
Before you can offer suggestions to your customers, you need to have a way to tag images and generate metadata on your site. Previously, this was done manually.

Each image had to be tagged and described so that it could be found through a customer search.

With AI, tagging and metadata can be generated automatically. Even images and videos (which were almost impossible to automatically tag in the past) can be discovered and reused.

You can identify and organize digital assets of all types in a way that is not only efficient but also scalable.

Personalization requires data not only from your customers, but also from your products. AI allows you to dynamically define and identify various aspects of your content so you can make the best possible matches with your customers.

Propensity score
This is a tool that helps you reach the right people with the right message at the right time. It is one of the best ways to forecast customer behavior because it uses statistical data to predict future actions.

Propensity modeling uses regression analysis to analyze the relationship between dependent variables and independent variables. What does this mean? To put it simply: using this type of modeling allows you to go beyond analyzing what has happened to predict what is likely to happen.