B2B Electronics Demand Forecast Model: PC Market Case

Bhuvanesh Sharma, Sunaina Kuknor, Sneha Rajput, Aashish Mehra

2023

Abstract

Businesses want a trustworthy approach to estimate market demand due to the rising level of demand uncertainty in the B2B electronics sector. For a corporation to avoid producing too few or too many of its products, which could have an effect on the performance of the business, an accurate estimation of the market demand is essential. However, given the wide variety of businesses in terms of size, industry, and mode of operation, it can be challenging to estimate demand in a B2B market, particularly for the private sector. For B2B PC products, this study suggests using both qualitative and quantitative demand forecasting methods. Personal work, common work, promotion, and welfare are the four separate criteria for projecting PC products in the B2B market while accounting for the variety of PC uses. These calculations are backed up by survey data gathered from specialists in 139 companies, which may be applied when a specific company evaluates the demand for PC products in a B2B market. The multiple regression model, which has variables for area, industry, and company size, is the suggested quantitative approach. When it is necessary to estimate the whole demand for the domestic PC market, the regression model may be used.

Paper Citation

in Harvard Style

Sharma B., Kuknor S., Rajput S. and Mehra A. (2023). B2B Electronics Demand Forecast Model: PC Market Case. In Proceedings of the 1st Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR; ISBN 978-989-758-687-3, SciTePress, pages 903-911. DOI: 10.5220/0012525500003792

in Bibtex Style

@conference{pamir23,
author={Bhuvanesh Sharma and Sunaina Kuknor and Sneha Rajput and Aashish Mehra},
title={B2B Electronics Demand Forecast Model: PC Market Case},
booktitle={Proceedings of the 1st Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR},
year={2023},
pages={903-911},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012525500003792},
isbn={978-989-758-687-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR
TI - B2B Electronics Demand Forecast Model: PC Market Case
SN - 978-989-758-687-3
AU - Sharma B.
AU - Kuknor S.
AU - Rajput S.
AU - Mehra A.
PY - 2023
SP - 903
EP - 911
DO - 10.5220/0012525500003792
PB - SciTePress