Opportunities for Pricing Analytics for Developing Strategies in Online Retailing

Authors

  • Tanmayee Tushar Parbat  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Rohan Benhal  BBA IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Honey Jain  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Sajeeda Shikalgar  Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India

Keywords:

Analytics, Pricing, Online Retailing, E Commerce

Abstract

The increasing competition among e retailers in India has given rise to the adoption of different pricing strategies. The online retailers face the challenge of attracting customers as only a chunk of customers are interested in making transactions online. There can be several ways in which marketing analytics can be employed to use e-commerce platforms for maximizing customer satisfaction through enhanced pricing efficiency. From dynamic pricing to value-based pricing to cost-plus pricing, the online retailers are using all possible pricing strategies for enhanced customer value ad experience. The paper employed the use of qualitative research and focused groups on understanding the pricing strategies. The Study found the various factors that impact the online pricing strategies and exploring marketing analytics being employed by online retailers for developing their pricing strategies. The paper greatly impacts the practitioners in the comprehension of extensive role the pricing analytics has for the development of pricing strategies.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-10-30

Issue

Volume 8, Issue 5, September-October-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Tanmayee Tushar Parbat, Rohan Benhal, Honey Jain, Sajeeda Shikalgar, " Opportunities for Pricing Analytics for Developing Strategies in Online Retailing" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 5, pp.108-114, September-October-2021.