Dynamic pricing involves automatically and frequently adjusting prices based on various internal parameters (such as stock levels or availability) and external parameters (such as demand or competition). This practice, already present in sectors like transportation and hospitality, has become widespread with the rise of e-commerce. Pricing algorithms have facilitated the implementation of this strategy, enabling real-time price changes. Companies like Amazon have popularized this approach by changing millions of prices every day.

The evolution of marketplaces and price comparison websites has also contributed to the rise of dynamic pricing. Companies like Sarenza adjust their prices daily based on stock levels to optimize their sales strategy. This model could also develop in physical stores thanks to electronic shelf labels, thus facilitating rapid price adjustments.

Dynamic pricing encompasses various combined practices, such as price adjustments based on available stock, "Uber-style" pricing, and real-time adjustments based on customer data analysis. Despite its advantages, dynamic pricing can present challenges in terms of perception, consistency across visits and sales channels, and even legal issues.

A concrete example of dynamic pricing is price variation based on product expiration dates.

Dynamic pricing, also known as dynamic pricing, refers to a pricing approach that involves real-time adjustments based on various parameters. This strategy can take many forms and is primarily used in the e-commerce sector, where frequent price changes are facilitated. For example, Amazon changes millions of prices every day, while Sarenza uses dynamic pricing by adjusting its prices daily based on product demand. The goal is to maximize sales while maintaining reasonable inventory levels for sales periods. For concrete examples and detailed explanations of dynamic pricing policies, consult the resources mentioned.