摘要
汽车客户需求预测通过分析市场数据、客户行为,预测未来一段时间内汽车市场上消费者对车型、功能、价格的需求情况,帮助汽车制造商、经销商理解市场趋势,调整生产计划,以满足客户需求,提高市场竞争力.文章对汽车客户需求预测中应用大数据分析技术的意义进行阐述,提出增强消费者服务意识、减少库存成本、帮助企业完成市场营销目标,分析大数据分析技术在汽车客户需求预测应用过程中面临的阻碍,包括预测应用意识差、需求预测结果不符合客户需要、数据收集能力差、大数据应用效果差,探讨大数据分析技术在汽车客户需求预测的应用策略,主要为提升大数据分析技术应用意识、制定客户需求预测机制、提高数据收集与管理水平、完善大数据分析技术应用体系、优化数据分析结果应用方案,为汽车行业发展提供新思路,对于提高汽车企业竞争力具有重要意义.
Abstract
By analyzing market data and customer behavior,the automobile customer demand forecast predicts the demand of consumers for models,functions and prices in the automobile market in the future period of time,helps automobile manufacturers and dealers understand market trends and adjust production plans to meet customer needs and improve market competitiveness.This paper expounds the significance of the application of big data analysis technology in automobile customer demand forecasting,proposes to enhance consumer service awareness,reduce inventory costs,help enterprises achieve marketing goals,analyzes the obstacles faced by big data analysis technology in the process of automobile customer demand forecasting,including poor awareness of prediction application,demand forecasting results do not meet customer needs,poor data collection ability,and poor application effect of big data,and discusses the application strategy of big data analysis technology in automobile customer demand forecasting.It is mainly to enhance the awareness of the application of big data analysis technology,formulate the customer demand forecasting mechanism,improve the level of data collection and management,improve the application system of big data analysis technology,optimize the application scheme of data analysis results,and provide new ideas for the development of the automobile industry,which is of great significance for improving the competitiveness of automobile enterprises.
维普
万方数据