In many supermarkets, smart shopping carts equipped with sensors and algorithms are increasingly being used to enhance the shopping experience. These carts can automatically scan products, display discount promotions, and even provide personalized recommendations. The goal is to make shopping more efficient and comfortable and to increase retailers' sales.
At first, these systems seem like practical helpers: they save time at checkout, remind shoppers of forgotten items, and suggest suitable products. But over time, unexpected challenges arise: the algorithms often encourage impulsive buying behavior by specifically prompting additional purchases or displaying discounts in a way that causes customers to spend more than planned. The personalization is based on extensive data collection that analyzes and manipulates consumer behavior very precisely. As a result, customers lose track of their budget and saving goals. Retailers, developers, and consumers face the task of understanding the technical and social causes of these effects and assessing the impact on consumer behavior, data privacy, and financial self-determination.
Question:
Which technical and social factors can cause smart shopping carts to make saving difficult despite increased convenience, and how do these factors influence the requirements for data privacy, user control, transparency of recommendations, as well as the design of systems that promote responsible consumer behavior?
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