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B2B Electronics Demand Forecast Model: PC Market Case

Author

Listed:
  • Bhuvanesh Kumar Sharma
  • Sunaina Kuknor
  • Sneha Rajput
  • Aashish Mehra

Abstract

Businesses want a trustworthy approach to estimate market demand due to the rising level of demanduncertainty in the B2B electronics sector. For a corporation to avoid producing too few or too many of itsproducts, which could have an effect on the performance of the business, an accurate estimation of the marketdemand is essential. However, given the wide variety of businesses in terms of size, industry, and mode ofoperation, it can be challenging to estimate demand in a B2B market, particularly for the private sector. ForB2B 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 productsin the B2B market while accounting for the variety of PC uses. These calculations are backed up by surveydata gathered from specialists in 139 companies, which may be applied when a specific company evaluatesthe 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 wholedemand for the domestic PC market, the regression model may be used.

Suggested Citation

  • Bhuvanesh Kumar Sharma & Sunaina Kuknor & Sneha Rajput & Aashish Mehra, 2024. "B2B Electronics Demand Forecast Model: PC Market Case," SPAST Reports, SPAST Foundation, vol. 1(1).
  • Handle: RePEc:bps:jspath:v:1:y:2024:i:1:id:4783
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    File URL: https://spast.org/article/view/4783/263
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    Keywords

    B2B; demand forecasting; electronic products;
    All these keywords.

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