With astonishing speed, Uber has disrupted the taxicab industry. Others have looked at their success and dreamed of emulation. The strategy often touted for Uber’s success is surge pricing; charging higher prices at times of high demand. Surge pricing is an example of dynamic pricing, where the price fluctuates depending on one or more factors, like the demand for ride service.
Perhaps the most famous example of dynamic pricing is the airline and hotel industry, where seats and rooms are put out at various prices as time draws closer to the date of usage.
Many have looked at the success of companies using dynamic pricing and see it as a way to get each customer to pay a price close to their willingness-to-pay. Recently, UK supermarkets announced an experiment with screen displays on the shelves for prices. While this has the potential to streamline operations and save the time required for an employee to change tags, this technology has the potential to implement dynamic pricing. For example, stores charge more for sandwiches during lunch hour and even sync with the customer’s cell phone to identify the potential buyer and use big data to determine if they will pay full price or if a discount is required to induce purchase.
While the potential benefits of dynamic pricing are obvious, if done incorrectly, it can be an incredibly dangerous pricing model. In the cases above, dynamic pricing is used to manage capacity. Pricing can be used to manage capacity in B2B markets such as manufacturing, where capacity constraints are a big driver of strategy. Here, charging less to fill capacity can make sense in a downturn, but if not used carefully, can leave the supplier with plants full of low-paying customers when demand is high.
Charging different customers different rates is what most B2B companies do as standard, as each deal is negotiated, but a few words of caution are required:
So while it may be tempting to use big data tools to extract higher prices, once the customer feels aggrieved and starts to play poker, there is no going back.