In the era of e-commerce and fast-changing consumer preferences, companies must be competitive and still maximize profit. For today’s fast-shifting market landscape, traditional fixed-pricing models that were previously the mainstay of retail as well as service industries have proven to be inadequate. Thus, the emergence of a more responsive model known as dynamic pricing. This is a data-driven strategy that makes use of Data Science and AI/ML.
Dynamic pricing, also known as surge pricing, demand pricing, or time-based pricing, is a method by which companies change the prices of their products or services in real time based on various factors such as demand, supply, market conditions, consumer behavior, competitors and other external variables. Unlike traditional fixed-pricing models, which progressively increase the price of a product or service over time, dynamic pricing offers flexibility in response to market conditions. The topic has been hotly debated across a wide range of industries including e-commerce, hospitality, health and beauty, entertainment, retail, and transport among others. Let’s explore the controversy by looking at the advantages and risks involved.
Dynamic pricing has both advantages and disadvantages for businesses and consumers. Here are a few of the most common arguments on both sides of the topic.