Abstract
In recent years, with the continuous improvement of the socialist market economic system and development, the enterprises face more and more fierce market competition, and in the face of increasingly fierce market competition environment, enterprise want to win the market, gain a competitive advantage, to win more customers in the market, it must be able to at the lowest cost and efficient way to provide the product or service to clients, In order to achieve such a goal, we must accurately grasp the needs of market customers. With the rapid development of modern network information technology, market information is omnipresent. Enterprises must have a complete set of sales forecasting methods to help them better grasp the needs of market customers, timely and accurately control the needs of customers and the direction of market development, and these must rely on accurate forecasting and data mining technology. Based on this, this paper takes FMCG industry as an example, and takes data mining technology as a breakthrough to study the innovation of sales forecasting methods.
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Acknowledgements
This paper supported by academic funding project for top talents of disciplines (majors) in Colleges and universities of Anhui Province in 2020 (gxbjzd2020042) and "Marketing teaching team" of Anhui teaching team in 2020 (2020jxtd258).
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Gan, Z. (2022). Research on Sales Forecasting Method Based on Data Mining. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 102. Springer, Singapore. https://doi.org/10.1007/978-981-16-7466-2_74
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DOI: https://doi.org/10.1007/978-981-16-7466-2_74
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