"Dynamic pricing relies on tracking social media activity, searches, and website cookies to predict customer preferences and willingness to pay. Retailers can even use location tracking and mouse movement analysis to optimize pricing."
"A Consumer Reports investigation revealed that prices for individual items could vary by as much as 23% from one customer to another, highlighting the potential for significant price discrimination in grocery shopping."
Dynamic pricing, also known as algorithmic or surveillance pricing, adjusts product prices based on personal data and customer behavior. This strategy is prevalent among online retailers like Amazon and is increasingly adopted by grocery chains such as Walmart, Kroger, and Target. Concerns arise regarding its impact on food prices, as it may lead to inflated costs for individual customers. Current applications are primarily online, with significant price variations observed, and there are possibilities for expansion into physical stores.
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