NORMA eResearch @NCI Library

Potential Improvement in Sales of EVs through Effective use of Sales Trend Analysis in Strategic Decision Making

Marlapati, Gopi Krishna (2024) Potential Improvement in Sales of EVs through Effective use of Sales Trend Analysis in Strategic Decision Making. Masters thesis, Dublin, National College of Ireland.

[thumbnail of Master of Science]
Preview
PDF (Master of Science)
Download (2MB) | Preview
[thumbnail of Configuration Manual]
Preview
PDF (Configuration Manual)
Download (493kB) | Preview

Abstract

The automobile industry is gradually transitioning to EVs because the consumers have realized the importance of the environment and there are inventions in the industries that are employed in the vehicles. As for the Such an approach indicates that the market penetration of EVs during this period appears to have been augmented. to only 35% by the investigated automobile firm by the year 2023. The research goal of the present work is as follows: the analysis of the factors that may affect consumption, as well as the identification of measures to improve them. promotion. With this approach in defining sales trends, there is the need for research analysis. Interact with several products and services, customer’s behaviour, and conditions in the marketplace. to generate recommendations for EV vendors. The purpose of this research study is to be contributing to the stream of knowledge in the existing body of literature when it comes to gaining a great and exhaustive understanding of the actual sales pattern and consumers’ attitudes towards the promotion of the utilization of Regarding EV and providing concrete recommendations on how to boost the sales of the EV.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Sahni, Anu
UNSPECIFIED
Uncontrolled Keywords: Time series – EVs; sales; data by time-series and multivariable; analysis; recommendation model
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Ciara O'Brien
Date Deposited: 03 Sep 2025 13:47
Last Modified: 03 Sep 2025 13:47
URI: https://norma.ncirl.ie/id/eprint/8746

Actions (login required)

View Item View Item