A system and method for estimating a future price of a product based on product price data

Abstract

The invention discloses a system and a method for estimating the future price of a product based on product price data. The system and the method comprise a user management module, which is used for auser to log in to enter a foreground to view price information and log in to enter a background to import and configure data. The foreground display module displays the historical price and the predicted price of the product at the front end; Background configuration module, used for background users to import historical price data, configure product price prediction formula and set formula elements. As that price prediction of the invention is base on the prediction formula of the related product configure in the background, At the front desk, historical prices and predicted prices are displayed in the form of charts to help users sort out the historical prices under various factors of the product, predict the future price value trend of the product, and provide price data reports undervarious dimensions, so as to facilitate users to understand the trend of market changes. The interface layout of the invention is reasonable and convenient to use, which not only reduces the cost andheavy workload, but also improves the work efficiency and the user experience degree.

Description

technical field [0001] It relates to the technical field of information data processing, in particular to a system and method for estimating future prices of products based on product price data. Background technique [0002] The existing price forecast formula is too complex to configure, so that the work cost and workload are relatively heavy, and a slight misoperation will cause a large deviation in the forecast price, which is difficult to adapt to the increasingly frequent actual needs. [0003] At present, the commonly used product price prediction methods mainly include empirical methods. The empirical method is based on the staff's guesswork based on the value of historical products. The market product price itself has the characteristics of uncertainty and multiple choices, coupled with the special nature of physical products and inconsistent technical standards, because the appraisers are not familiar with different products, and the quality of the appraisers is u...

AI Technical Summary

Problems solved by technology

The market product price itself has the characteristics of uncertainty and multiple choices, coupled with the special nature of physical products and inconsistent technical standards, because the appraisers are not familiar with different products, and the quality of the appraisers is uneven , some human factors will inevitably appear in the valuation of products, and its objective accuracy cannot be guaranteed; secondly, due to the influence of raw material market prices, social and economic prosperity, and the relationship between supply and demand, market prices fluctuate greatly, and there is a lack of market The working mechanism of price information collection and trend forecasting methods make it difficult to guarantee the accuracy of forecasted prices and the success rate of price trend judgments

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