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Maximizing E-Tailers’ Sales Volume through the Shipping-Fee Discount and Product Recommendation System

机译:通过运费折扣和产品推荐系统最大限度地提高电子拖车的销售量

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E-tailers can impact customers’ order incidence and cart size by offering an attractive shipping fee; they can also influence customers to purchase other products using a recommendation system. This article provides a combined model in which the shipping-fee discount and product recommendations occur jointly to maximize the sales volume of e-tailers. Selection of recommended products and discount of shipping fee are the dynamic issues involving the complexity of business environments. The proposed model first determines the optimal shipping-fee discount to attract customers and then establishes the most suitable product recommendation list to encourage customers to spend more money on other products. Through the use of a shipping-fee discount and simultaneous product recommendations, e-tailers maximize the sales volume. As for consumers, they can always get additional savings from the subsequent shopping process because the product’s shipping fee is lower than the original shipping costs. Experimental results indicate that the proposed approach is feasible and better than alternative methods for achieving sales volume maximization. Furthermore, sensitivity analysis validates the stability of the proposed model in the face of an uncertain environment. Therefore, using the shipping-fee discount and product recommendation system as a united marketing strategy can maximize e-tailers’ sales volume.
机译:电子拖车可以通过提供有吸引力的运费来影响客户的订单发病率和推车尺寸;他们还可以影响客户使用推荐系统购买其他产品。本文提供了一个组合模型,其中运费折扣和产品建议共同发生,以最大限度地提高电子茶叶的销量。选择推荐产品和运费折扣是涉及商业环境复杂性的动态问题。拟议的型号首先确定吸引客户的最佳运费折扣,然后建立最合适的产品推荐清单,以鼓励客户在其他产品上花费更多钱。通过使用运费折扣和同步产品建议,电子拖车最大化销量。至于消费者,他们总是可以从随后的购物过程中获得额外的节省,因为产品的运费低于原始运费。实验结果表明,该方法可行,而且比实现销售量最大化的替代方法更好。此外,灵敏度分析在面对不确定的环境中验证所提出的模型的稳定性。因此,使用运费折扣和产品推荐系统作为统一营销策略可以最大限度地提高电子拖车的销量。

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