A Study on the Impact of Seasonal Sales on E-Commerce Trends in India: Insights from Amazon and Flipkart

Year : 2025 | Volume : 12 | Issue : 03 | Page : 01 06
    By

    Mohanaa N.,

  • Rubini M.,

  • Daniel D.,

  • Sakthivel S.,

  1. Student, Department of Commerce, Faculty of Science and Humanities, SRM Institute of Science and Technology. Kattankulathur, Chengalpattu, Tamil Nadu, India
  2. Student, Department of Commerce, Faculty of Science and Humanities, SRM Institute of Science and Technology. Kattankulathur, Chengalpattu, Tamil Nadu, India
  3. Student, Department of Commerce, Faculty of Science and Humanities, SRM Institute of Science and Technology. Kattankulathur, Chengalpattu, Tamil Nadu, India
  4. Student, Department of Commerce, Faculty of Science and Humanities, SRM Institute of Science and Technology. Kattankulathur, Chengalpattu, Tamil Nadu, India

Abstract

This study investigates the growing impact of seasonal sales on e-commerce trends in India, with a particular emphasis on two leading platforms, Amazon and Flipkart. Large-scale events such as the Great Indian Festival and the Big Billion Days have become defining moments in the country’s online retail calendar, creating noticeable shifts in consumer purchasing behavior, sales volumes, and digital marketing approaches. The research examines how heavy discounts, limited-time offers, and technology-driven promotions contribute to changes in buyer decisions. It also explores the role of emerging payment options such as Buy Now, Pay Later (BNPL), etc., which are increasingly shaping shopping preferences by offering greater flexibility and convenience. The findings highlight both the opportunities and challenges that seasonal sales present for e-commerce companies, including improved brand visibility, enhanced customer engagement, and logistical complexities. Overall, the study provides valuable insights for businesses aiming to optimize their strategies and sustain growth during high-demand sales periods in India’s competitive online marketplace.

Keywords: E-commerce, seasonal sales, consumer behavior, Amazon, Flipkart, online shopping trends

[This article belongs to E-Commerce for Future & Trends ]

How to cite this article:
Mohanaa N., Rubini M., Daniel D., Sakthivel S.. A Study on the Impact of Seasonal Sales on E-Commerce Trends in India: Insights from Amazon and Flipkart. E-Commerce for Future & Trends. 2025; 12(03):01-06.
How to cite this URL:
Mohanaa N., Rubini M., Daniel D., Sakthivel S.. A Study on the Impact of Seasonal Sales on E-Commerce Trends in India: Insights from Amazon and Flipkart. E-Commerce for Future & Trends. 2025; 12(03):01-06. Available from: https://journals.stmjournals.com/ecft/article=2025/view=215537


References

  1. Kotler P, Keller KL. Marketing Management. 15th Edn. India: Pearson Education; 2021.
  2. Keerthika K, Saravanan T. Enhanced product recommendations based on seasonality and demography in ecommerce. In 2020 IEEE 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). 2020 Dec 18; 721–723.
  3. Basu P, Adhikari A. Pricing strategies in multi-channel retailing of seasonal goods. In: Encyclopedia of E-commerce development, implementation, and management. IGI Global; Hershey, Pennsylvania. 2016; 639–652.
  4. Purnomo YJ. Digital marketing strategy to increase sales conversion on e-commerce platforms. Journal of Contemporary Administration and Management (ADMAN). 2023 Aug 13; 1(2): 54–62.
  5. Gupta P, Banerjee P. E-Commerce Logistics: Operational Challenges and Strategic Issues. InE-Commerce in India: Economic and Legal Perspectives. India: SAGE Publications Pvt. Ltd.; 2020; 169–203.
  6. Bask A, Lipponen M, Tinnilä M. E-commerce logistics: a literature research review and topics for future research. Int J E Serv Mob Appl (IJESMA). 2012 Jul 1;4(3):1–22.
  7. Basu P. Coordinating multi-channel pricing of seasonal goods. Int J E-Bus Res. 2012 Oct 1; 8(4): 34–56.
  8. Santhosh NM, Cheriyan J, Sindhu M. An intelligent exploratory approach for product recommendation using collaborative filtering. In 2021 IEEE 2nd International conference on advances in computing, communication, embedded and secure systems (ACCESS). 2021 Sep 2; 232–237.
  9. Saleem H, Uddin MK, Habib-ur-Rehman S, Saleem S, Aslam AM. Strategic data driven approach to improve conversion rates and sales performance of e-commerce websites. Int J Sci Eng Res. 2019 Apr; 10(4): 588–93.
  10. Rahman SS, Dekkati S. Revolutionizing commerce: The dynamics and future of E-commerce web applications. Asian J Appl Sci Eng. 2022 Oct; 11(1): 65–73.
Regular Issue Subscription Original Research
Volume 12
Issue 03
Received 10/03/2025
Accepted 15/04/2025
Published 01/07/2025
Publication Time 113 Days
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