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Demand forecast of clothing online store
The extensive growth mode of clothing industry, which focuses on brand extension and price increase, is encountering bottlenecks, and the traditional ordering mode, which focuses on futures, is gradually losing its charm. Let's talk about the futures ordering system first. Enterprises make styles according to the past sales situation and the prediction of future fashion trends. This is a traditional one-way "push" chain, and consumers are passive choices. Nowadays, many Amoy brands often launch a small number of certain items first, and then decide which styles to mass-produce according to the consumer's reservation, which is equivalent to "class customization". Xiaomi, a typical enterprise that decides production and sales according to market demand and feedback from end consumers, has made a way in the Red Sea. This model of Xiaomi is applied perfectly, and garment enterprises can learn from it appropriately, flexibly change the original one-way production model, and take more account of market changes. These requirements require timely and accurate grasp and feedback of information, and also put forward extremely high requirements for the rapid response of the supply chain.

A typical feature of extensive extension expansion is that there are many levels of joining and agency, and the interest relationship is complex. In the "old days", it was a magic weapon for enterprises to seize the market quickly and continuously improve regional coverage and penetration. However, the multi-level agency hierarchy makes it necessary for garment enterprises to ensure the reasonable return of each channel through higher markup rate, and the high product cost makes it difficult to compete with the price under the online flat sales channel. As can be seen from the comparison below, although the profit of online brands is lower than that of traditional offline clothing brands, the cost is much lower than that of traditional clothing enterprises. The competitiveness of traditional clothing enterprises has been greatly improved here.