The topic of dynamic pricing and learning has received a considerable amount of attention
in recent years, from different scientific communities. We survey these literature streams: we …

Firms increasingly deploy algorithmic pricing approaches to determine what to charge for
their goods and services. Algorithmic pricing can discriminate prices both dynamically over …

The Internet and cloud computing changed the way business operate. Standardised web-
based applications simplify data interchange which allow internal applications and business …

We consider online allocation problems with concave revenue functions and resource
constraints, which are central problems in revenue management and online advertising. In …

To compete in today's omni-channel business context, it is essential for firms to co-ordinate
their activities across channels and across different stages of the customer journey and the …

We present our work with an online retailer, Rue La La, as an example of how a retailer can
use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the …

We study optimal pricing strategies for ride-sharing platforms, such as Lyft, Sidecar, and
Uber. Analysis of pricing in such settings is complex: On one hand these platforms are two …

The development of tourist destinations has been determined by sustainable energy
management and the advancement of traditional methods. The rate of development must …

The benefits of dynamic pricing methods have long been known in industries, such as
airlines, hotels, and electric utilities, where the capacity is fixed in the short-term and …

We study the optimal pricing of a finite quantity of a fashion-like seasonal good in the
presence of forward-looking (strategic) customers. We distinguish between two classes of …