汽车消费市场车型竞品查询数据

通过输入或选择待查询车型，获取该车型的竞品信息，从竞品雷达模型的函数数据库中获取对应的函数，通过相似度算法计算获得待查询车型的反应用户心里实际购车时考虑的竞品信息；其中信息包括竞品型号、竞品品牌名称、竞品msrp、竞品燃料类型、相似度系数；竞品雷达模型是基于大数据训练获得的多元非线性计算模型，由函数数据库和参数数据库组成，而相似度算法是数鼎科技自主研发的AI应用算法。车型竞品查询数据准确度高，且稳定性强，可以相对准确地展示获得某款车型的竞品相关信息，可广泛应用于汽车消费市场行业的参考当中。

This vehicle competitor query dataset allows users to acquire the competitor information of the target vehicle model by inputting or selecting the model. Specifically, the corresponding functions are retrieved from the function database of the Competitor Radar Model, and the competitor information that reflects users' actual purchasing considerations when purchasing a vehicle is calculated via the similarity algorithm. The collected competitor information includes competitor model, competitor brand name, competitor MSRP, competitor fuel type, and similarity coefficient. The Competitor Radar Model is a multi-variate nonlinear computational model trained on big data, which consists of a function database and a parameter database. The similarity algorithm is an AI application algorithm independently developed by Shuding Technology. This dataset features high accuracy and strong stability, capable of relatively accurately presenting the competitor-related information of a specific vehicle model, and can be widely used as a reference in the automotive consumer market industry.

搜集汇总

数据集介绍

特点

该数据集通过竞品雷达模型和相似度算法提供汽车车型的竞品信息，包括竞品型号、品牌名称、MSRP、燃料类型和相似度系数等关键数据。数据格式为CSV，月更新，数据量10000条，适用于汽车制造商、经销商和市场分析机构的市场策略制定。