Cross-border e-commerce purchasing and replenishment method based on Amazon FBA

Abstract

The invention discloses a cross-border e-commerce purchasing and replenishment method based on an Amazon FBA, and the method comprises the steps: determining the FBA replenishment quantity entering anAmazon warehouse from a local warehouse through employing a replenishment prediction method, and determining the purchase quantity entering the local warehouse from a supplier through employing a purchase prediction method. The method aims at the whole logistics process of products from purchasing to FBA replenishment; a dynamic purchase-replenishment prediction model is established; the purchasequantity required by the local warehouse and the FBA replenishment quantity required by the Amazon warehouse of the product at any moment are accurately predicted, the accuracy of purchasing and replenishing the commodities by the Amazon cross-border e-commerce seller is remarkably improved, the storage cost and the inventory pressure are reduced to the maximum extent, and meanwhile, the risk ofshortage of the product is minimized.

Description

technical field [0001] The invention relates to the technical field of cross-border e-commerce procurement and replenishment forecasting, in particular to a cross-border e-commerce procurement and replenishment method based on Amazon FBA. Background technique [0002] Overcapacity in China and the gradual rise of Chinese manufacturing in the world have led to more and more Chinese sellers entering foreign markets. As one of the first companies to operate e-commerce, the Amazon platform has a large amount of traffic and sells to customers around the world. Therefore, more and more Chinese sellers are attracted to the platform. [0003] There are two main ways of delivery on the Amazon platform. One is FBA (Fulfillment by Amazon), which sends a certain amount of products at the same time and stores them in Amazon's warehouse. When a buyer places an order, Amazon is responsible for packaging and delivery. and after-sales service; the other is FBM (Fulfillment by Merchant), th...

AI Technical Summary

Problems solved by technology

[0006] First, a large number of products sold on the Amazon platform have seasonal characteristics, that is, there is a difference between the so-called low and peak seasons. Due to changes in supply and demand, the sales volume in different periods often fluctuates greatly (the sales volume in the peak season may be that of the off-season). tens of times or even more), so there will be a lot of uncertainty in simply predicting through historical sales figures

[0007] Second, before the products for FBA replenishment enter the Amazon warehouse, they are called in-transit inventory. There is a certain relationship between this part of the product and the part of the inventory that has entered the Amazon warehouse (called FBA inventory) Gradually converted into FBA inventory), but there are differences, which must be distinguished in the algorithm in order to obtain more accurate FBA replenishment

Excessive replenishment will lead to an increase in inventory turnover days and inventory costs

If there is too little replenishment, you will have to bear the risk of out-of-stock, which will greatly affect the seller's long-term operation quality

With the increase of product sales types and sales volume, sellers have no energy to accurately predict the replenishment quantity, and the negative impact of such defects will gradually accumulate, eventually causing irreparable losses

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