Goods supply distribution method based on artificial intelligence

Abstract

The invention discloses a goods supply distribution method based on artificial intelligence, and relates to the tobacco resource distribution and artificial intelligence technologies. The method makesthe most of the data of the tobacco industry, combines with an artificial intelligence algorithm, and employs the autonomous learning ability of a BP neural network model in the artificial intelligence for the deep mining of the deep correlation between all indexes, and achieves the automatic distribution of a retailer resource strategy. The method comprises the steps: selecting the main indexesof the market dimension and the customer order dimension in the marketing of cigarette, and constructing the correlation between the indexes through the autonomous learning ability of the BP neural network model in the artificial intelligence and the forwarding propagation of a signal and the back propagation of an error; repeatedly training the model, combining the parameters obtained through thetraining of the model and historical index data of all dimensions as the input parameters of the BP neural network model, and automatically calculating the resource distribution quantity of retailercustomers. The method reduces the impact from the human factors in the resource distribution process, and improves the matching degree of a resource distribution result with the demands of the customers.

Description

technical field [0001] The present invention relates to tobacco resource allocation and artificial intelligence technology, specifically a method for supply allocation based on artificial intelligence. Background technique [0002] The monopoly system of my country's tobacco industry determines that cigarettes cannot be produced and sold completely in accordance with market demand, which means that the supply of goods produced by industrial companies cannot fully meet the needs of commercial companies, which will inevitably lead to commercial companies that cannot fully meet the market sales of cigarette retail customers need. How to distribute the limited supply of goods to retail customers more reasonably and effectively is an important issue that tobacco commercial companies have been exploring and solving in the course of their operations. [0003] The traditional supply allocation method in the tobacco industry usually uses the retailer's order quantity combined with th...

AI Technical Summary

Problems solved by technology

In the traditional resource allocation method of the tobacco industry, the calculation process has fewer reference dimensions, and the mathematical algorithm has certain limitations. The calculated delivery volume is difficult to fully match the retailer's order demand

At the same time, there are certain differences in the results calculated by mathematical algorithms for different input parameters and different reference times.

In the process of resource allocation, human factors have a greater impact on the allocation results