大宗物资价格分析系统
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大宗物资价格分析系统通过采集市场上各类大宗物资商品,建立统一大宗物资采购编码,并对其价格变化、波动趋势、历史均价、历史最高价、历史最低价等信息进行监测分析,建立大宗物资商品历史交易数据库,对获取的历史交易数据进行技术指标计算并通过特征处理获得训练数据,构建价格分析的长短期记忆神经网络模型,通过智能匹配、自动比价等方法分析,获得大宗物资的合理价格,助力企业降低采购成本。该系统适用于需要对大宗物资价格进行监测和分析的企业,特别是对于中央企业、国有企业、集团企业或建筑工程类相关企业等有较多大宗商品采购需求的企业更具优势。
The Bulk Commodity Price Analysis System collects various bulk commodities in the market, establishes a unified procurement coding system for bulk commodities, and conducts monitoring and analysis on information including price changes, fluctuation trends, historical average prices, historical maximum prices, and historical minimum prices. It builds a historical transaction database for bulk commodities, calculates technical indicators from the acquired historical transaction data, and obtains training data through feature processing. A long short-term memory (LSTM) neural network model for price analysis is constructed, and reasonable prices of bulk commodities are obtained through analysis methods such as intelligent matching and automatic price comparison, so as to help enterprises reduce procurement costs. This system is applicable to enterprises that need to monitor and analyze bulk commodity prices, and is particularly beneficial for enterprises with substantial demand for bulk commodity procurement, such as central enterprises, state-owned enterprises, group enterprises, and enterprises engaged in construction engineering-related businesses.




