A product sampling method for reflecting quality experience of online shopping consumers

Abstract

The invention discloses a product sampling method for reflecting quality experience of online shopping consumers. The method comprises the following steps of (1) determining a sampling object; (2) determining a sampling general body and constructing a sampling frame; (3) determining a sampling scheme; (4) carrying out online sampling according to the sampling scheme to obtain a sampling sample with the sampling sample size of n; (5) carrying out quality detection on the sampled samples to obtain the number d of unqualified samples in the sampled samples; (6) calculating an unqualified productrate and a confidence interval of the sample. According to the characteristics of the online shopping, a sampling scheme is determined through reasonable calculation; a determination basis of a sampling scheme is provided for sampling inspection personnel; a miracle sampling personnel online shopping sampling system is adopted for sampling, so that the reasonability of sampling scheme selection can be effectively improved, the reliability of the sampling result can be greatly improved, the reliability of the sampling result is further ensured through the authenticity of the sampling product, and the method has the characteristic that the reliability of the sampling result can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of product quality sampling methods, and in particular relates to a product sampling method reflecting the quality experience of online shopping consumers. Background technique [0002] E-commerce is the fastest-growing commercial form in the world and in my country. At the same time, the quality of online traded goods is not optimistic. The complaint rate due to quality problems accounts for 52% of the national sales of goods. Quality monitoring becomes very important. The difference between e-commerce and brick-and-mortar stores is that the sellers (online merchants) are not present, and the products are generally delivered by courier companies, which makes it difficult to monitor the transportation process. In addition, when the samplers face online merchants, they can only see the shopkeeper’s unilateral presentation. The store information and product introduction of the company cannot intuitively unders...

AI Technical Summary

Problems solved by technology

The difference between e-commerce and brick-and-mortar stores is that the sellers (online merchants) are not present, and the products are generally delivered by courier companies, which makes it difficult to monitor the transportation process. In addition, when the samplers face online merchants, they can only see the shopkeeper’s unilateral presentation. The store information and product introduction of the company cannot intuitively understand the basic situation of the samples. The quality control levels of various e-commerce platforms and sellers are different, and the quality of online sales products is uneven. The quality supervision of online products is mainly through online shopping sampling and inspection of online products. to fulfill

However, the sample selection of the existing online shopping sampling is mainly carried out by the sampling method of physical stores, because the offline sampling sample size is calculated according to the inventory, and the inventory of online products is not necessarily real, and the massive online The dimension of the product is much more complicated than that of the product composition of the physical store. Using the offline sampling mode to conduct online sampling will easily lead to unreasonable sampling samples, which will lead to unreliable subsequent sampling results.

Therefore, the existing technology has the problem of unreliable sampling results

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