How is data changing peoples’ shopping experiences?

Data, analytics, and AI are revolutionizing the way we shop, making our experiences faster, more convenient, and personalized. Here are some examples of how these technologies are changing shopping experiences for individuals: 

1. Personalized recommendations: With the help of AI, online retailers can analyze your browsing and purchase history to offer personalized recommendations tailored to your tastes and preferences. For example, Amazon recommends products based on your search history and purchase behavior. 
2. Chatbots and virtual assistants: Retailers are using AI-powered chatbots and virtual assistants to provide 24/7 customer service. These chatbots can answer frequently asked questions, provide product recommendations, and even process orders. 
3. Augmented reality: AR technology enables customers to “try on” products virtually, such as clothes or makeup, without leaving their homes. Sephora’s Virtual Artist app allows users to see how different makeup products would look on their faces using AR. 
4. Personalized pricing: Retailers are using data analytics to set prices based on individual consumer behavior. Airlines, for example, use dynamic pricing to adjust ticket prices based on factors like demand and booking patterns.