Sales prediction and replenishment method

Abstract

The invention discloses a sales forecast and replenishment method, comprising: a sales forecast method and a replenishment method. The sales forecasting method includes: obtaining historical sales data of the commodity to be forecasted, retrieving a sales forecast model based on historical sales data training and outputting forecast sales data, the sales forecast model includes a primary smoothing model, a secondary smoothing model, and a three-time season A model, the outputting the predicted sales data includes obtaining a correction coefficient of the predicted sales data. The replenishment method includes: obtaining the daily average sales volume, replenishment lead time and safety stock days based on the analysis of historical sales data and forecast sales data; calling the target inventory calculation formula, inputting the replenishment cycle, and outputting the target inventory; Take the replenishment quantity calculation formula, input the quantity of goods in stock and the quantity of goods in transit, and output the quantity of replenishment. The invention comprehensively considers various situations in commodity sales, obtains sales forecast and replenishment data more clearly and accurately, and improves sales management efficiency.

Description

technical field [0001] The invention relates to the field of commodity sales management. More specifically, the present invention relates to a sales forecast and replenishment method. Background technique [0002] In the commodity sales industry, sales forecast is an indispensable reference index. Regardless of the size of the enterprise and the number of employees, sales forecast affects all aspects of sales management including planning, budget and replenishment. However, due to the non-comprehensive and general analysis of data in the related technical solutions, the sales forecast results are not accurate, including the replenishment quantity obtained is also inaccurate. If the replenishment quantity gets an accurate value, it may cause a backlog of goods It will affect the turnover of funds, or the insufficient quantity of goods will make consumers unable to purchase goods, which will affect the sales image of enterprises. [0003] Therefore, a comprehensive and fine-...

AI Technical Summary

Problems solved by technology

However, due to the non-comprehensive and general analysis of data in the related technical solutions, the sales forecast results are not accurate, including the replenishment quantity obtained is also inaccurate. If the replenishment quantity gets an accurate value, it may cause a backlog of goods It affects the turnover of funds, or the quantity of goods is insufficient so that consumers cannot buy goods, which affects the sales image of the enterprise.

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