Role of Artificial Intelligence in E-commerce: Findings from Amazon

This presentation discusses the role of Artificial Intelligence in E-commerce through the findings from Amazon. It highlights how AI can help retail organizations in making accurate demand forecasting, effective pricing decisions and optimizing product placement. The presentation also provides strategic recommendations for organizations to enhance their workings in an efficient manner.

Digital Technology and Business

Table of Contents
 Introduction
 Summary of findings from cw1
 Conclusion based on findings of CW1
 Application of derived conclusion to a specified sector or profession
 Application of derived conclusion to an organisation of retail sector
 Set of strategic recommendations
 Conclusion
 References

Introduction
 Digital technology is beneficial for businesses as it aid
them in increasing flexibility, reducing costs and keep
back-up of their information on a regular basis
(Chaffey, Edmundson-Bird and Hemphill, 2019).
 This presentation depicts the findings which are
discovered from CW1 based on the topic of e-
commerce at Amazon.

Summary of findings from CW1
 Amazon Alexa is considered as a device which has
features of voice controlling (Frizzo-Barker and Et. Al.,
2020).
 It works on the technology of voice recognition which is
tool of artificial intelligence Amazon is constantly trying
to make modifications in the technology of Alexa for
improvising its features

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 Digital transformation aid organisations in building value
for effective functioning of management practices (Hartley
and Sawaya, 2019).
 Artificial intelligence also help organisations like Amazon
in maintaining the brand awareness have insights about
online sales.

Conclusion based on findings of CW1
 Amazon is one of the leading retailer e-commerce
organisation which occupies a considerable market
share (Matzler and Et. Al., 2018).
 Their artificial intelligence application are targeted to
increase convenience of customers shopping
experiences
 Machine learning process which supports workings of
Alexa in performing their operations in an effective
manner (Ismagilova and Et. Al., 2017). .

Application of derived conclusion to
a specified sector or profession
 Artificial intelligence help retail organisations in making
accurate demand forecasting, effective pricing decisions
and optimizing product placement
 Artificial intelligence also help retail establishments for
managing their inventory management system in a
rational manner

Application of derived conclusion to
an organisation of retail sector
 Alexa is considered as one of the most prominent and
popular product which is designed by Amazon for
enhancing experiences of their customers on their e-
commerce platform (Reis and Et. Al., 2018).
 For an e-commerce company like Amazon, it is
important to understand the requirements of their
customers in order to provide accurate
recommendations for rising their revenues
(Sathananthan and Et. Al., 2017).

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 Amazon has developed their technologies like Alexa
which provides a seamless hands-free shopping
experience to people (Venkatraman, 2017).

Set of strategic recommendations
 It has been recommended to organisational managers to use
smart speakers as well as digital platforms which allows
them to enhance their workings in an efficient manner
 It is recommended to Amazon managers to invest in new
technologies for developing the effectiveness of their and
other related organisations
 It is advisable to organisations to prepare their employees
by providing them effective training for dealing with
complex situations regards with business operations.

Conclusion
 From the above presented information, it has been assessed that artificial intelligence plays a
significant role in managing e-commerce platform in an effective manner
 It also help companies in securing a competitive edge in industry.
 Artificial intelligence is considered as beneficial for organisations as it led to enhance
productivity and efficiency of operations (Yablonsky, 2018).

References
 Chaffey, D., Edmundson-Bird, D. and Hemphill, T., 2019. Digital business and e-commerce
management. Pearson UK.
 Frizzo-Barker, J. and Et. Al., 2020. Blockchain as a disruptive technology for business: A systematic
review. International Journal of Information Management, 51, p.102029.
 Hartley, J. L. and Sawaya, W. J., 2019. Tortoise, not the hare: Digital transformation of supply chain
business processes. Business Horizons. 62(6). pp.707-715.
 Ismagilova, L. A. and Et. Al., 2017. Digital business model and smart economy sectoral development
trajectories substantiation. In Internet of Things, Smart Spaces, and Next Generation Networks and
Systems (pp. 13-28). Springer, Cham.
 Matzler, K. and Et. Al., 2018. The crusade of digital disruption. Journal of Business Strategy.
 Reis, J. and Et. Al., 2018, March. Digital transformation: a literature review and guidelines for future
research. In World conference on information systems and technologies (pp. 411-421). Springer, Cham.