Revenue management (RM) is the application of analytical methodologies and tools that
predict consumer behavior and optimize product availability and prices to maximize a firm's …

Dynamic pricing is considered a possibility to gain an advantage over competitors in modern
online markets. The past advancements in Reinforcement Learning (RL) provided more …

Businesses can use price optimization to discover the most profitable price point by using
customer and market data to drive their decisions. The optimal price points will result in the …

We study the dynamic pricing and replenishment problems under inconsistent decision
frequencies. Different from the traditional demand assumption, the discreteness of demand …

数据定价是把数据作为资产并对资产进行定价的行为. 在当前的数据市场中,
由于买家和卖家之间几乎没有透明度, 信息严重不对称, 造成数据定价的混乱 …

With the rapid growth in the fashion e-commerce industry, it is becoming extremely
challenging for the E-tailers to set an optimal price point for all the products on the platform …

Algorithms are now playing a central role in digital marketplaces, setting prices and
automatically responding in real time to competitors' behaviour. The deployment of …

Online markets have become highly dynamic and competitive. Many sellers use automated
data-driven strategies to estimate demand and to update prices frequently. Further …

Auctions, a fundamental economic mechanism, encompass the valuation of goods or
services and the competitive bidding algorithms within a specific framework, serving to …

As a crucial step in promoting data sharing, data trading can stimulate the development of
the data economy. However, the current data trading market primarily focuses on satisfying …