Hc3152 E-Business Applications : Retail Assessment Answers
On completion of this subject students will be able to demonstrate research skills using academic literature and integrating ideas from the literature to the information technology issues, to write professional reports containing sound recommendations in preparation for their career in information technology and business. in e-business and in preparation for life-long learning.
Knowledge
Graduates will be able to evaluate theoretical and practical knowledge of Information Technology models and strategies for e-business.
Skills
Graduates will be able to critically analyse e-business models and opportunities.
Graduates will be able to design and recommend e-business applications.
Answer:
Introduction
Amazon Company prides themselves as the world largest online retailer that offers variety of categories which satisfy most of the client’s desires (Piotrowicz and Cuthbertson, 2014). The current operations of the organization is multifaceted as well as aligned well to their business objectives. The organization has been able to meet the demand of the customers through deliver of the merchandise which the clients want and they deliver them quickly.
Current operation of Amazon Company
Amazon usually sells their products directly to the clients. This is achieved though allowing the third party retailers to be able to list on their products to their platform. Moreover, they maintain subscription service with the Amazon Prime that enable the members to receive a fast shipment delivery as well as access to the media contents.
The organization holds the largest inventories of the goods. To be able to support this endeavor they have a massive warehouse which is regarded as the fulfilment centers. The fulfilment center is the operation base for Amazon (Piotrowicz and Cuthbertson, 2014). This is where the process of distribution takes place. This process could be labor intensive and it requires the use of many seasonal employees during the holidays to be able to package and ship on these product more quickly especially in the peak shipping times. When the clients places an order there is a picker who receive this order on the scanner and they are informed on the location of each of the merchandise.
According to Piotrowicz and Cuthbertson (2014), they have examined on the deployment technologies the mobile devices as well as the social network towards the growth the retail store technological solution. This is in line to what Amazon has undertaken particularly investment in the Automation. There has been a lot of automation process which they have implemented to be able to decrease on the cycle time for finding the items (Piotrowicz and Cuthbertson, 2014). An example of this is the Kiva system. Moreover¸ they have also invested a lot in the social network which has enabled them get review and opinion of their clients in terms of the delivery and the quality of the product. Based on Piotrowicz and Cuthbertson, (2014), they have highlighted that there is need to have a channel of integration such as the Omni channel that delivers seamless clients experiences in regards to the channel.
According to study done by Karamshuk, Noulas, Scellato, Nicosia and Mascolo, (2013), they key points which they have highlighted on the future of the retail stores through the use of predictive machine learning feature through use of the dataset collected. With the use of this technology the store would be able to locate new market and be able to advertise these products from these segments (Karamshuk, Noulas, Scellato, Nicosia and Mascolo, 2013). Their research also highlights on the ways for improving performance through use of the supervised learning algorithms. This can relate to the case of Amazon organization in which they would need to improve on their performance to improve the delivery of services. They have been able to achieve this through forming of alliance value proposition. The organization has planned to become the world biggest retail store and kill the other branded retailers. They are revamping on their value proposition through positioning themselves for the future.
References
Karamshuk, D., Noulas, A., Scellato, S., Nicosia, V. and Mascolo, C., 2013, August. Geo-spotting: mining online location-based services for optimal retail store placement. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 793-801). ACM.
Piotrowicz, W. and Cuthbertson, R., 2014. Introduction to the special issue information technology in retail: Toward omnichannel retailing. International Journal of Electronic Commerce, 18(4), pp.5-16.
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