Small-scale supermarket automatic procurement method and system based on data analysis
A data analysis and supermarket technology, applied in the field of data analysis, can solve problems such as inability to use sales forecasting and auxiliary procurement, processing and analysis without analysis tools, etc., to achieve the effect of reducing purchase capital occupation and optimizing inventory
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[0032] Example 1:
[0033] as attached figure 1 As shown, an automatic purchasing method for a small supermarket based on data analysis of the present invention, the method is based on the sales data information accumulated by the existing management software of the supermarket, and the implementation steps of the method include:
[0034] S10: Extract useful commodity sales data from existing sales data information;
[0035] S20: Clean the extracted commodity sales data to filter out unnecessary fields and attributes;
[0036] S30: Calculate the sales ranking, recommendation ranking, and daily demand forecast value of the product by using the constraints of the product, the content recommendation algorithm, and the association rule algorithm;
[0037] S40: Combining with the existing commodity inventory in the supermarket, automatically calculate the purchase demand list of commodities;
[0038] S50: Combining with the existing commodity supplier information in the supermar...
Example Embodiment
[0042] Embodiment 2:
[0043] The present invention also provides a small supermarket automatic purchasing system based on data analysis, the system is based on the existing management software of the supermarket, and its structure includes:
[0044] The acquisition module 1 is used to acquire the sales data information accumulated in the existing management software of the supermarket;
[0045] Extraction module 2, for extracting useful commodity sales data from accumulated sales data information;
[0046] The cleaning module 3 is used to clean the extracted commodity sales data to filter out unnecessary fields and attributes;
[0047] Calculation module 4, calculates the sales ranking, recommendation ranking, and daily demand forecast value of the product by using the constraints of the product, the content recommendation algorithm, and the association rule algorithm;
[0048] The analysis and processing module 5 is used to analyze and calculate the purchase demand list of...
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