Unlocking hidden revenue streams with market models
Unlocking hidden revenue streams with market models
利用市场模型解锁隐藏的收入来源
Each day, an airline transports tens of thousands of passengers on hundreds of flights. Often these are not straightforward point-to-point routes, with passengers requiring multiple connections. The airline can consider potentially hundreds of variables to price each of these journeys: demand, season, time of day, current events, global markets, and competitor airline activity to name just a few. It is a nuanced process that must constantly adapt to the goings on in the wider world. 每天，航空公司都要通过数百个航班运送数万名乘客。这些航线往往并非简单的点对点直飞，乘客通常需要多次中转。航空公司在为每一段旅程定价时，可能需要考虑数百个变量：需求、季节、时间、时事、全球市场以及竞争对手的动态等等。这是一个微妙的过程，必须根据外部世界的变化不断进行调整。
Generative AI-powered market models are emerging as a means of handling complex tasks like this in real time. These deep learning models are trained on high-resolution numerical data and designed to analyze, simulate, and predict complex financial dynamics. Rather than relying on historical trends or static rules, the market model acts as an AI “brain,” consolidating a variety of data to simulate different market environments and make dynamic commercial decisions, such as pricing, inventory, or revenue management. 由生成式人工智能驱动的市场模型正逐渐成为实时处理此类复杂任务的手段。这些深度学习模型基于高分辨率数值数据进行训练，旨在分析、模拟和预测复杂的金融动态。市场模型不再依赖历史趋势或静态规则，而是充当人工智能“大脑”，整合各种数据来模拟不同的市场环境，并做出动态的商业决策，例如定价、库存或收入管理。
“It helps us make better, faster, more granular commercial decisions,” says Dominic Kennedy, senior vice president of revenue management, sales, and e-commerce at Virgin Atlantic about the market model his team is using to drive their generative pricing engines in some markets. “It considers, on a real-time basis, a plethora of different inputs, whether it be demand, capacity, or booking. It has a really sophisticated way of evaluating our positioning relative to competitors, market conditions, and a whole raft of other things that have significance in how demand is manifested,” he adds. 维珍大西洋航空公司收入管理、销售和电子商务高级副总裁多米尼克·肯尼迪（Dominic Kennedy）在谈到其团队用于驱动部分市场生成式定价引擎的市场模型时表示：“它帮助我们做出更好、更快、更精细的商业决策。它能实时考虑大量不同的输入信息，无论是需求、运力还是预订情况。它拥有一种非常复杂的方式来评估我们相对于竞争对手的定位、市场状况以及其他对需求表现具有重要影响的因素。”
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