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首页> 外文期刊>IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews >Intelligent decision support for the pricing of products andservices in competitive consumer markets
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Intelligent decision support for the pricing of products andservices in competitive consumer markets

机译：在竞争激烈的消费市场中为产品和服务的定价提供智能决策支持

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We describe a novel class of systems called intelligent tacticalndecision support systems which enable firms to make superior pricingndecisions within a dynamic competitive environment. The paper outlinesnthe unique aspects of such systems in relation to commercially availablensystems. These aspects are seen to be their ability to process and usenknowledge on the one hand and information external to the organizationnon the other. The systems use nonlinear models, optimization, andnlearning algorithms to provide decision support capabilities for thengeneric price-setting problem. The general theme of the paper is to seenthe systems described within the paper as the support tools for angeneric price setting process. The description of the systems start withna generic one for pricing decision support in any consumer market and isnthen specialized to various markets, each of which could benefit from anspecific variant of the generic pricing technology which has beennadapted to that particular industry. The adaptations from the genericnpricing system to the systems for petrol pricing, retail pricing, andntelecommunications taxation, are explained. These three examples show anvariety of price-setting situations ranging from near commodity pricing,nas in the case of petrol, to pricing of very sophisticated services, asnin the case of mobile telephony. Field experiments with these systemsnshow that they perform significantly better than unassisted humanndecision-makers. This is seen from controlled experiments where thesensystems have demonstrated significant profit uplift when applied to thenexperimentation sites as compared to the “control” sitesnwhere the systems have not been applied
机译：我们描述了一种称为智能战术决策支持系统的新型系统，该系统使公司能够在动态竞争环境中做出出色的定价决策。本文概述了此类系统相对于商用系统的独特方面。这些方面一方面是他们处理和使用知识的能力，另一方面是组织外部信息的能力。该系统使用非线性模型，优化和学习算法为随后的通用定价问题提供决策支持功能。本文的总体主题是将本文中描述的系统视为通用价格设置过程的支持工具。系统的描述从通用的开始，以在任何消费者市场中提供定价决策支持，并且专门针对各种市场，每个市场都可以从已经适应该特定行业的通用定价技术的特定变体中受益。解释了从通用定价系统到汽油定价，零售定价和电信税收系统的改编。这三个示例显示了各种定价情况，从接近商品定价（例如汽油）到非常复杂的服务定价（例如移动电话）。这些系统的现场实验表明，它们的性能明显优于无人为的决策者。从受控实验中可以看出这一点，与未使用系统的“对照”站点相比，将森普系统应用于随后的实验站点已显示出明显的利润提升

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