What Are The Preparations For Clothing Ordering Technology In Autumn And Winter 2019?

The competition in the clothing retail market is fierce now. It's not enough to just look at the products and sales data to order. If we want to succeed in clothing orders, we have to be well prepared. What order skills do you need in the autumn and winter clothing ordering season in 2019? What preparations should be made for clothing orders? Let's take a look at the ordering skills of clothing stores.

The purpose of an order is to sell, that is to say, the order should be carried out around the sale. So before we can take part in the order meeting, we must check out the sales data of this season, and make an order based on this sales data.

Total sales volume

The total number of sales last season determines the total number of orders this quarter. But it doesn't mean how much we sell in the last quarter. Because when you order 1000 pieces of goods, your sales amount is less than 1000, and there will be a certain amount of stock. We need to figure out how many out of stock sales and how many goods are sold in this year's sales season because they are discounted in order to reduce the final actual inventory, so that we can analyze whether the sales data of the year are still rising or actually beyond the sales capacity of the stores. In addition, some franchisees believe that there is still a certain stock in the shop, which should be reduced in this order. This idea is also open to question. In some brands, such as men's clothing, which are not particularly popular, they can deduct part of the stock, but not all of them. For brands that are more popular (such as women's wear), they can't be reduced. Because last year's clothing gets the display this year, it can only play a counterproductive role. The inventory left last year can be considered for promotion before the new product arrives this season.

All kinds of forehead color ratio

We should also take the actual data of sales as a reference for different types of color occupation. For example, in the next season, the proportion of dark and plain colors will be more than normal. These can not be joined by the business has the final say, but through the analysis of sales data.

Sales and occupying by category

For example, how many shirts sold last year, how many trousers sold, and so on, how much jeans, trousers, trousers and seven pants should be counted and analyzed. On the other hand, we need to see which types of sales are difficult and what kinds of sales have potential, so that we can make appropriate adjustments after the statistics.

Proportion of sizes

You can't take it for granted in determining the size of the order. Some franchisees believe that we are in the north and should have large yards. This is not accurate enough. We need to make a specific size ratio based on sales analysis. In addition, the sizes of different categories in the same area can also vary. For example, according to the Convention, women's wear sling is more attractive than others. A fat person seldom wears a sling. Maybe the sale of a small size will be a little more than that. The windbreaker category is loose. Some brands of windbreaker may still be more professional. Maybe the sales of the bigger yards will be better.

Other data analysis

The above four aspects of data statistics and analysis are very important. Franchisees must do a job before ordering. In addition to these aspects, according to the brand positioning, there are other data that need to be statistically analyzed. For example, in the specific style, men's suit, the ratio of double open AI and single Kai AI, the ratio of two buttons and three buckles, etc. in women's shirts, the proportion of professional shirts and casual shirts, and so on, and the proportion of sales of fabrics, the sales ratio of flower shape, and the sales ratio of different types of T-shirts, all need to be statistically analyzed.

Performance growth rate

Last year's sales figures were for reference only, and this year's sales growth rate this year. We can analyze the growth rate of our stores according to the sales potential and actual sales status in the past few quarters. Of course, the growth rate of performance does not mean that the growth rate will not be reduced, or because of competition, management, brand and other reasons, the growth rate is negative, which also needs to be considered.

New store data

Some franchisees choose the brands that are open in the first year, so there is no sales data for this season. What should we do? - as a general rule, there is no order in the first season when the shops have just opened, because the order has already been completed. Some Brand Company orders will not be ordered in the first 2-3 quarters, but will be distributed by Brand Company. The first time these new franchisees take part in the order meeting, they need to count the data in the preceding quarter, then estimate the total amount according to the local quarterly sales time and sales contrast, and communicate with the old franchisees in the order meeting, especially the more close partners. The specific sales time and the proportion of sales should be analyzed according to the local actual situation, and each big area may be different. For example, the summer in the northern region is shorter, and the sales time in winter is longer. In the Yunnan Guizhou area, the four seasons are like spring. There is no winter in Guangdong area and nearly half of the sales time in winter.

About 2019 autumn and winter clothing ordering skills, clothing orders to do what preparatory work, Xiaobian and you introduced these. Hope to help you.