The operations of organizations play an integral in driving the sales of a company. The idea of implementing quality initiative expands the horizon of a company by building its reputation and attracting more customers (Graves et al., 2016). One of the most progressive companies that have been taunted in quality control and advancement is Amazon. Notably, Amazon is the world's biggest online retailer company in terms of review, assessment, and employees. In the last decade, the tremendous growth of Amazon has necessary by robust quality initiatives such as the introduction of artificial intelligence, collaborations, and energy savings measures.
Amazon has been one of the fastest companies in the world to implement artificial intelligence technology to boost the quality of goods and services. One of the basic steps included training employees on the use of artificial intelligence. Additionally, the company has engaged employees in installing and running of AI software (Baker & Henderson, 2017). Moreover, the company has collaborated with other companies such as Google to provide Prime video's customers the YouTube app on the platform, which has boosted the number of applications and content that subscribers can access on the platform.
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Furthermore, Amazon has boosted the quality of its products by engaging in energy savings strategies such as establishing solar plants in Sweden and the United States of America to drive the company (Gilbert, 2015). In another few years, the company hopes that all its operations will be powered by renewable energy to receive the emission of carbon gases to the atmosphere. The use of renewal energy boosts the quality of goods by reducing the operations' costs, such as lighting and machines' powering.
References
Baker, J., & Henderson, S. (2017). The Cyber Data Science Process. The Cyber Defense Review, 2(2), 47-68.
Gilbert, R. (2015). E-books: A Tale of Digital Disruption. The Journal of Economic Perspectives, 29 (3), 165-184. Retrieved from www.jstor.org/stable/43550126
Graves, J., Acquisti, A., & Christin, N. (2016). Big Data and Bad Data: On the Sensitivity of Security Policy to Imperfect Information. The University of Chicago Law Review, 83(1), 117-137.
