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General Elements Of Market Analysis For Customer Selection Criteria Using Existing Automotive Sales Databases

Author

Listed:
  • Sabin – Alexandru Băbeanu

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Bucharest, Romania)

  • Viorel - Costin Banța

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Bucharest, Romania)

  • Claudia Mihaela RĂPAN

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Bucharest, Romania)

  • Cristian Dragoș Țurcan

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Bucharest, Romania)

Abstract

The important objective of the research is to decide the general framework for smart car production and to identify the corresponding customer, as well as the market trend. The creation of a policy and strategy, which are based on a predictive analysis of the results obtained in the specialized literature, carried out on the automotive sales market, which have integrated artificial intelligence, is an important factor in achieving the objective. The use of artificial intelligence in consulting platforms or databases from which data are extracted, as well as the profile of each customer generated by artificial intelligence, is a trend in the car sales market in the coming years.

Suggested Citation

  • Sabin – Alexandru Băbeanu & Viorel - Costin Banța & Claudia Mihaela RĂPAN & Cristian Dragoș Țurcan, 2022. "General Elements Of Market Analysis For Customer Selection Criteria Using Existing Automotive Sales Databases," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(50), pages 23-30, December.
    • Handle: RePEc:aio:aucsse:v:2:y:2022:i:50:p:23-30
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    File URL: http://feaa.ucv.ro/annals/v2_2022/003.pdf
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    References listed on IDEAS

    as
    1. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
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    Keywords

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    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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