Dynamic pricing: definition and examples

Dynamic pricing involves regularly adjusting prices based on demand, available stock, competitor pricing, timing, or context, using pre-defined rules to maximize revenue or profit margin. Common in the airline, hospitality, and e-commerce sectors, where prices can change several times a day, it is developing in brick-and-mortar stores thanks to electronic shelf labels, albeit at a slower pace. When properly managed, it's not a black box: price gates and human validation are used to control strategic products.

Dynamic pricing, dynamic price, and dynamic pricing all refer to the same practice: adjusting prices based on context rather than keeping them fixed for an extended period. "Dynamic pricing" is the English term, while "dynamic pricing" and "dynamic price" are its most common translations. However, two related concepts are distinguished: repricing , which is the one-off action of changing a price in response to a trigger, and yield management , a specific application of this concept to limited and perishable stock.

Dynamic pricing is not quite the same as repricing. Repricing is the act of adjusting a price in response to a specific trigger, most often a price movement by a competitor. Dynamic pricing is the overall policy that defines when, how, and within what limits these adjustments take place: signals followed, frequency per channel, price caps, excluded products. In other words, repricing is an action, while dynamic pricing is the framework that decides on these actions and measures their impact on margins.

Yes, dynamic pricing is legal in France, provided that the displayed price is accurate at the time of purchase and that there is no unlawful discrimination, based, for example, on protected criteria. Differentiation based on time of day, stock availability, or demand is permitted. It must comply with the resale-below-cost threshold and the rules governing price reduction announcements, which regulate the reference price displayed during a promotion. Beyond the legal aspects, the issue is one of trust: overly frequent or poorly understood price changes can be perceived as unfair.

Yes, dynamic pricing works in physical stores, but at a slower pace than online. Changing a paper price tag is costly and time-consuming; therefore, price revisions are managed cyclically—weekly, seasonal, or promotional—rather than continuously. A DIY store, for example, might adjust the price of a lawnmower weekly based on stock levels, the weather, and three competitors. Electronic price tags allow for faster changes, but their rollout in France remains gradual. Maintaining consistency with online prices then becomes a key challenge.

No, we shouldn't automate everything. Dynamic pricing benefits from letting the algorithm handle the volume—that is, the thousands of low-stakes SKUs—while maintaining human control over strategic products: key performance indicators (KPIs) that shape the price image, new product launches, and products subject to supplier constraints. Automation is also regulated by minimum and maximum price limits, a minimum margin, and a limited range of variation. The idea is to define the rules once and then validate the exceptions, rather than manually reviewing each price.

To implement dynamic pricing, you need a platform that combines four elements: sales and inventory data, price elasticity measurement, business rules (minimum margin, permitted deviations from competitors, excluded products), and human validation for sensitive cases. Competitive pricing data, gathered through price monitoring, feeds into the recommendations. This is the approach of Booper's MPS pricing solution: explainable recommendations governed by your rules, never a black box, with a simulation of the effect of each change before publication.