Sales rate refers to how fast the seller’s product is sold, in other words, how many orders can the seller’s product sell every day. Let’s continue with product A as an example.
Product A’s sales rate in the past 60 days = 7.23 pieces/day
Product A’s sales rate in the past 30 days = 9.8 pieces/day
Readers can think carefully about how the sales rate of product A changes in each cycle. Analyzing the above two sets of data, we can find that the sales rate in the past 30 days has increased significantly. In order to improve the accuracy of our subsequent calculations, we take the sales rate in the past 30 days (9.8 pieces/day) as the final sales rate of the entire product.
If there are too many types of products to be calculated and the data is too complicated, then we can also use the inventory management function of the Jungle Scout system, which can automatically help us calculate the historical sales rate of products in different time periods, which will be simpler and more convenient.
Existing inventory statistics are routine work for Amazon operators. Companies will require operators to regularly count the existing inventory of products based on the data of Amazon seller backend. At that time, the existing inventory of product A was 537 pieces.