Associated information generation method and device

Abstract

The invention discloses an associated information generation method and device, and relates to the technical field of the Internet. A specific embodiment of the method comprises the steps of obtainingsales volume data of a target commodity at the current time; based on the sales volume data and a preset estimation model, determining turnover information of the target commodity; and generating associated information of the target commodity according to the turnover information. According to the embodiment, the turnover information of the commodity can be accurately determined, the associationinformation of the commodity is generated according to the turnover information, inventory can be reasonably managed according to the association information, the overall operation efficiency is improved, and the storage cost and the fund occupation cost are reduced; manual intervention is reduced, and the labor cost is reduced.

Description

Technical field [0001] The present invention relates to the field of Internet technology, and in particular to a method and device for generating associated information. Background technique [0002] In inventory management, it is a very common inventory management method to return unsold goods to suppliers from large retailers or e-commerce warehouses. Generally speaking, selling normally is more profitable than returning the goods to the supplier. However, because the goods are stored in the warehouse, it will cause two main costs: storage costs and capital occupation costs. Therefore, timely and appropriate return behavior can directly reduce storage costs and release capital occupation costs, thereby achieving the purpose of reducing costs and increasing profits. As a business manager, you need to return the goods in the right amount at the right time. [0003] At present, the more popular method of calculating slow-moving inventory is to set a stocking cycle T when returnin...

AI Technical Summary

Problems solved by technology

[0017] The existing technical solutions do not take into account the cyclical characteristics of the sales of seasonal commodities. The sales volume in the peak season is much higher than that in the off-season. Using the historical average daily volume will lead to an excessively high target inventory in the off-season, resulting in a large number of slow sales, which is not conducive to inventory management and cost management.

[0018] Since the business of large retailers or e-commerce companies covers the whole country and have warehouses in different regions, the sales cycle of the same product in different regions is also inconsistent (for example, air conditioners enter the off-season in advance in the north), and there are also differences in climate changes every year. Neither manual control nor fixed parameter control based on historical sales can accurately determine when a product enters the off-season in different regions of the country, and it is also impossible to accurately determine the return time of the product

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