Retail Analytics: Driving Success in Retail Industry with Big Data Analytics

Authors

  • Mohammed Al-Laraib Khaiyr Michigan State University, USA
  • Kristina Candance Rogermann Michigan State University, USA

DOI:

https://doi.org/10.69511/ijdsaa.v4i4.113

Keywords:

Retail Industry, Retail Analytics, Business Analytics, Big Data

Abstract

As retail market gets extensively competitive, the capability to optimize on serving company processes while gratifying buyer expectations has never ever been more vital. Thus, channelizing and managing information to work towards client delight and produce wholesome income is essential to survive prosperously. In the situation of huge list players worldwide and in India, information or maybe quite big data analytics has become being used at each stage of the list progression tracking emerging products that are popular, forecasting future demand and sales through predictive simulation, optimizing product placements and provides through client heat mapping and many others. Alongside this, determining the buyers very likely to be keen on specific item sorts according to the previous purchase behaviors of theirs, exercising the simplest way to address them via specific advertising initiatives and finally exercising what to market them following is the thing that forms the center of data analytics. This report is the result of a descriptive exploration on the past, future and present of the application and retail industry of company analytics in shaping proper advertising strategies.

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Published

2022-12-12

How to Cite

Khaiyr, M. A.-L., & Rogermann, K. C. (2022). Retail Analytics: Driving Success in Retail Industry with Big Data Analytics. International Journal of Data Science and Advanced Analytics, 4(1), 158–163. https://doi.org/10.69511/ijdsaa.v4i4.113

Issue

Section

Articles