8 ways to apply AI to the customer experience

[shaownhasan]

Computer vision
Computer vision helps in image recognition and optical character recognition (OCR), which helps a system detect patterns in image-based big data. This technology is often used to identify celebrities, brands and products on social media platforms for targeted advertising and competitive analysis, and to diagnose customer issues.

According to our research, business leaders see vast loan data potential for AI to make their brands more customer-centric. Here are the most useful applications of AI and machine learning that executives feel will build a richer, more effective customer experience.

Graphic enumerating 8 ways in which AI applications enhance customer experience
1. Behavioral segmentation for targeted products and marketing
According to The 2023 State of Social Media report, 49% of business leaders think AI will be critical for behavioral segmentation to identify and target specific customer segments.

AI capabilities scan millions of data points from various sources such as social media and review websites to spot hidden patterns. This is how they provide insights beyond traditional demographic stereotypes (like, all gamers are male), allowing you to narrow down segmentation as much as you want. These insights help you develop more effective targeted marketing campaigns and a higher level of personalization in products and services.

For example, this makeup company has a targeted Facebook marketing campaign for women above 50 for a section of their makeup line, based on audience profiling.

Facebook reel screenshot of a makeup line aimed at women over 50.

2. Predictive analytics to forecast future customer behavior
Per the same report, 45% of leaders believe using predictive analytics to indicate future customer behavior will be an essential AI application.