  We propose a simple randomized rule for the optimization of prices in revenue
management with contextual information. It is known that the certainty
equivalent pricing rule, albeit popular, is sub-optimal. We show that, by
allowing a small amount of randomization around these certainty equivalent
prices, the benefits of optimal pricing and low regret are achievable.
