Review of Artificial Intelligence with Retailing Sector


  • Venus Kaur School of Information Technology, Vivekananda Institute of Professional Studies, Delhi, India
  • Vasvi Khullar School of Information Technology, Vivekananda Institute of Professional Studies, Delhi, India
  • Neha Verma School of Information Technology, Vivekananda Institute of Professional Studies, Delhi, India



This research service provides an original perspective on how artificial intelligence (AI) is making its way into the retail sector. Retail has entered a new era where ECommerce and technology bellwethers like Alibaba, Amazon, Apple, Baidu, Facebook, Google, Microsoft, and Tencent have raised consumers’ expectations. AI is enabling automated decision-making with accuracy and speed, based on data analytics, coupled with self- learning abilities. The retail sector has witnessed the dramatic evolution with the rapid digitalization of communication (i.e. Internet) and; smart phones and devices. Customer is no longer the same as they became more empowered by smart devices which has entirely prevailed their expectation, habits, style of shopping and investigating the shops. This article outlines the Significant innovation done in retails which helped them to evolve such as Artificial Intelligence (AI), Big data and Internet of Things (IoT), Chatbots, Robots. This article further also discusses the ideology of various author on how AI become more profitable and a close asset to customers and retailers.


Artificial Intelligence(AI), Big data, Retail, Internet of Things (IoT)


[1] R. Arthur. Macy’s Teams With IBM Watson For AI-Powered Mobile Shopping Assistant., 2016. [Online]. Available: [Accessed: 03- Apr- 2019].

[2] F. Bertacchini, E. Bilotta, P. Pantano. Shopping with a robotic companion. Computers in Human Behavior, 2017, 77: 382-395. Available:

[3] J. Bowman. How Artificial Intelligence is transforming the retail conversation. The Store WPP in partnership with IBM, 2017.

[4] C. Chan, H. Lau, Y. Fan. IoT Data Acquisition in Fashion Retail Application: Fuzzy Logic Approach. In International Conference on Artificial Intelligence and Big Data, 2018.

[5] D. Grewal, S. Motyka, M. Levy. The Evolution and Future of Retailing and Retailing Education. Journal of Marketing Education, 2018, 40(1): 85-93. Available:

[6] D. Grewal, A. Roggeveen, J. Nordfält. The Future of Retailing. Journal of Retailing, 2017, 93(1): 1-6. Available:

[7] IFR. Service Robots. International federation of robotics, 2016. [Online]. Available: [Accessed: 07- Apr- 2019].

[8] J. Gubbi, R. Buyya, S. Marusic, M. Palaniswami. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 2013, 29(7): 1645-1660. Available:

[9] C. Hsu, C. Yeh. Understanding the factors affecting the adoption of the Internet of Things. Technology Analysis & Strategic Management, 2016, 29(9): 1089-1102. Available:

[10] S. Kamble, A. Gunasekaran, H. Parekh, S. Joshi. Modeling the internet of things adoption barriers in food retail supply chains. Journal of Retailing and Consumer Services, 2019, 48: 154-168. Available:

[11] G. Molnar, Z. Szuts. The Role of Chatbots in Formal Education. 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY), 2018. Available: [Accessed 7 April 2019].

[12] W. Reinartz, N. Wiegand, M. Imschloss. The Impact of Digital Transformation on the Retailing Value Chain. SSRN Electronic Journal, 2018. Available:

[13] R. Seranmadevi, A. Senthil Kumar. Experiencing the AI emergence in Indian retail – Early adopters approach. Management Science Letters, 2019: 33-42. Available:

[14] J. van Doorn et al.. Domo Arigato Mr. Roboto", Journal of Service Research, 2016, 20(1): 43-58. Available:

[15] N. Verma, J. Singh. A comprehensive review from sequential association computing to Hadoop-MapReduce parallel computing in a retail scenario. Journal of Management Analytics, 2017, 4(4): 359-392. Available:

[16] O. Vermesan, J. Bacquet, Cognitive Hyperconnected Digital Transformation.

[17] Y. Li, H. Fleyeh. Twitter Sentiment Analysis of New IKEA Stores Using Machine Learnin. In 2018 Internatinal Conference on Computer and Application (ICCA), Sweden, 2018.

[18] G. Santoro, F. Fiano, B. Bertoldi, F. Ciampi. Big data for business management in the retail industry. Management Decision, 2018. Available:


How to Cite

Kaur, V., Khullar, V., & Verma, N. (2020). Review of Artificial Intelligence with Retailing Sector. Journal of Computer Science Research, 2(1), 1–7.





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