Network fitting system

Abstract

The invention discloses a network fitting system, which is characterized by comprising the following steps of: logging in a fitting system through a terminal by a purchaser, adding size information of the logged person to a human body size table, storing the size information in a personalization manner, and searching a closest human body model in a human body model database according to the inputted size information; acquiring the human body model which is the closest to the user as a human body model according to the inputted size information; fitting clothes to the human body model after the user choose the desirable clothes; placing an order if the body size of the user is consistent with standard specifications of the clothes; and if not, checking whether a manufacturer of the clothes provides customized services or not, and selecting clothes with a larger or a smaller size again by the user and returning back to fit continuously, and placing an order until the purchaser is satisfied. The system disclosed by the invention can provide virtualized practical effects for the purchaser, effectively coordinates with the purchaser to select appropriate clothes, and finally reduces occurrences of goods returning and exchanging.

Description

technical field [0001] The invention relates to a network fitting system. Background technique [0002] Most of the existing clothing manufacturers make clothes according to the national standard that suits the most people. It is difficult for buyers to buy clothes that fit perfectly. They often choose to buy clothes that basically fit, that is to say Some parts of the garment are not very suitable for the buyer, but it does not affect the overall effect (such as: slightly longer sleeves, slightly wider shoulders, etc.), which requires the buyer to go to the physical store to try on the clothes, and finally determine the style and model after comparison. [0003] With the development of online shopping, the number of people buying clothes on the Internet is increasing. Because buyers cannot intuitively judge whether the clothes they buy fit, nor can they judge whether the clothes they want to buy fit their own image and temperament (although sellers often put photos of fitt...

AI Technical Summary

Problems solved by technology

Buyers cannot intuitively judge whether the clothes they buy fit, nor can they judge whether the clothes they want to buy are in line with their own image and temperament (although sellers often put photos of fitting models on the webpage, but The fitting models on the Internet are often models of standard body size that the seller finds to try on, and the effect is often far from that of the buyer), which eventually leads to frequent occurrences of online shopping clothes that do not meet the buyer's requirements. Returning and exchanging goods greatly increases the operating costs of existing shopping websites

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