美国毕业论文代写-数据在零售业中的作用

19 7月 美国毕业论文代写-数据在零售业中的作用

美国毕业论文代写-数据在零售业中的作用

零售业就是这样一个直接面对顾客,见证他们对产品兴趣的部门。随着科技的进步,零售业已经发生了转变。这种转变促使世界各地的客户获得个性化的体验。它使零售商能够在营销和技术实践中获得优势。本报告解释了数据和技术对零售商业务的影响,以及零售商实现有针对性的营销策略的经验。此外,我们以两个案例来解释购物者的好处和零售商的好处。然后,这些见解被用来评估与数据和技术集成后的零售体验和未来。

数据在零售业中的作用

数据提供了一个选择,通过分析运动最大化效益(LePage, 2015)。零售品牌的数字营销就是一个例子。当消费者搜索特定的信息时,它为零售商提供了了解消费者偏好的机会,并通过可能的选项实现相同的要求。获取数据的主要原因是即时性。数据是基于特定标准连接零售商和消费者的一个因素。例如,一个需要一台机器的买家寻找最近的和高质量的零售商来交易这台机器。这种即时性可以是1小时,也可以是2天,也可以是1周,但不同客户的情况有所不同(Gustafsson, 2009)。

在收集以消费者为中心的数据后,零售商可以通过以下方式获益:

-零售商可以了解消费者的购买模式。

-长期的成功是可行的,因为零售商热衷于满足需求。

-确保比期望的回报更好,因为有兴趣的客户毫不犹豫地满足他们的迫切需要。

-它提供了一个机会,利用知识基础和做生意没有任何问题的边缘。

另一个需要注意的策略是跨渠道购物。这一战略使零售业蓬勃发展,改变了他们对消费者需求的看法。随着网络技术的发展,消费者变得越来越精通互联网,他们会根据他人的评论和见解找到最划算的交易。这让零售商了解到需要跟上步伐的竞争力。Fiorletta(2012)认为零售业与顾客有着直接的关系。市场的波动性如此之大,以至于数据密集型零售品牌能够维持并与消费者建立超越拐点的互动关系。

众所周知,数据聚合在几个方面有利于零售商。Morris在第13次POS标杆调查中得出的结论,根据零售商对技术的采用程度对其进行了分类(Fiorletta, 2012)。那些利用信息技术的零售商被称为早期采用者,他们有更多的机会与最终用户进行互动,并在较长时间内保持这种兴趣。有了智能手机,零售商就更容易收集实时信息和购买历史。这是一个尚未开发的机会,通过这个机会,零售商可以提供店内体验,并与购物者保持最新的联系。

美国毕业论文代写-数据在零售业中的作用

Retailing is one such segment that directly faces the customers and witnesses their interests towards products. With the technological advancements already in place, retail sector has undergone a transformation. The transformation has driven customers around the world to gain personalized experiences. It has enabled retailers to gain advantage in marketing and technology practices. This report explains the impact of data and technology on retailer’s businesses and the experiences of retailers to achieve focused marketing strategies. Further, two cases are taken to explain the shopper benefits and retailer benefits. The insights are then used to estimate the experiences and future of retailing upon integration with data and technology.

Role of data in retailing

Data gives an option to maximize the benefits through the analytical campaigns (LePage, 2015). An example is the digital marketing of a retail brand. When consumers search for specific information, it gives the retail owners the opportunity to understand consumer preferences and fulfil the same with possible options. The main reason to obtain data is immediacy. Data stands as a factor to connect the retailer and consumer based on specific criteria. For example, a buyer who needs a machine looks for the nearest and quality retailer who trades the machine. This immediacy could be either 1 hour or 2 days or 1 week but it differs from one customer to the other (Gustafsson, 2009).

Upon collecting the consumer centric data, the retailers get benefited in the following ways:

– Retailers can understand consumer buying patterns.

– Long term success is feasible as retailer is keen to fulfil the needs.

– Assures a better return than desired as interested customers do not hesitate more than what is demanded to fulfil their immediate need.

– It gives an opportunity to leverage knowledge base and do business without any issues on the margins.

Yet another strategy that needs to be noted is the cross channel shopping. This strategy has boomed the retail industry and changed their perceptions towards consumer requirements. With the web technologies, consumers turn to be internet savvy and find the best deals based on reviews and insights from others. This informs the retailers about the competitiveness which needs to go ahead with the pace. Fiorletta (2012) says that the retail industry has a direct relationship with the customers. The market is volatile such that data intensive retail brands sustain and establish interactive relationships with the consumers that are beyond the inflection point.

Data aggregation is known to benefit retailers in several ways. The findings by Morris from the 13th POS Benchmarking Survey state the classification of retailers based on their adoption to technologies (Fiorletta, 2012). Those retailers who utilize information technologies are known as early adopters and have more opportunities to interact with the end users and sustain the interest on a longer run. With smartphones in hand, it becomes easier for the retailers to aggregate the real time insights and buying history. This is an untapped opportunity through which retailers can give the in-store experience as well as stay in touch with the shoppers on latest updates.