Intelligent purchase price comparison algorithm

Abstract

The invention relates to the technical field of price comparison algorithms, and discloses an intelligent purchase price comparison algorithm which comprises a cloud platform system, a search system and an algorithm price comparison system. The invention discloses an intelligent purchase price comparison algorithm. The method comprises the steps 1)-5). the rapid calculation capability of the computer is utilized; Big data analysis capability, A company only needs to input usual businesses into the system; then, the user inputs the to-be-purchased articles into the system; the system performs calculation through an algorithm; different conditions are combined and compared; the optimal purchase scheme is pushed to the system of the user; User-made scheme selection purchasing, Compared with traditional purchase price comparison, a user does not need to look up the purchase price through searching different websites, waste of more time in bargaining is avoided, the user does not need to worry about authenticity of commodities, the system enables the price of the whole production chain to be transparent, fairness, fairness and public of competition are effectively guaranteed, and dependence of a purchaser on suppliers is reduced.

Description

Technical field [0001] The invention relates to the technical field of price comparison algorithms, in particular to an intelligent price comparison algorithm for procurement. Background technique [0002] Traditional price-comparative procurement refers to the fact that the purchaser asks several manufacturers to provide prices and then compares the prices before deciding the manufacturer to purchase. In the current Internet, online merchants compare prices through the collection of online merchants' prices, and then analyze the price comparison. Price-comparative procurement expands the choice of enterprises. The range of suppliers has improved the overall level of suppliers. Through price-comparative procurement, buyers can obtain better suppliers at low cost. It can also reduce seasonal fluctuations in the original supply market and facilitate the search for a more stable supply source combination. Price comparison procurement also improves transaction efficiency. Negotiation...

AI Technical Summary

Problems solved by technology

[0003] Reverse procurement saves the negotiation and negotiation time of the procurement and supply parties, improves the speed of procurement decision-making, reduces procurement management costs, reduces inventory levels, shortens procurement time, speeds up cash flow, and greatly reduces management costs. Research has found that price comparison procurement can usually save 5% to 20% of the procurement cost and 25% to 35% of the management cost, but the traditional price comparison has many uncertainties, such as the intelligent type comparison procurement system for small and medium-sized enterprises proposed in Chinese patent CN 108279874 A Some problems of artificially raising prices are not considered, such as peers deliberately raising prices in the region, company effects, and brand effects that lead to higher products of the same quality than others. Even though the current Internet technology is very powerful and data analysis is very powerful, it is still It can only show that the Internet data is large, but it cannot be sure of the accuracy of the data, so an intelligent purchasing price comparison algorithm is proposed to solve the problems raised above