Clothing Store: Let Color Decoration Help

In the daily life of human beings, the following three elements are introduced to color perception.

(1) hue: it is the color of red, yellow and green, that is, the primary color. It is the basic color of all colors.

(2) lightness: color that indicates brightness. For example: light pink, bright red, yellowish green. Dark colors, such as light grey, purple, olive and brown.

(3) Chroma It is the brightness of colors, such as black, white and red. It can also be divided into bright and warm colors and cold colors.

Warm colors are generally easy to get close to the color system, such as red, yellow and other colors, which is more suitable for younger class shops, the same color department, pink, bright red, goose yellow and other women's favorite colors, for women's shop and baby. Clothes & Accessories Shops and other luxury products are more suitable for high-end shops.

The cold color seems to be very far away and very high. Sense of expansion In cold areas, shops with high ceilings are not suitable for use. Otherwise, they will feel very cold and cool when going into stores.

But in the summer, in order to recreate the feeling of mountain peaks and waves, Chen used cold colors to create a sense of coolness, so it is suitable for seasonal applications.

In addition, the elements that can form a color effect are the blending of commodity color and wall color. For example, if the Yellow goods are displayed on the background, it is not only strange but also easy to lose the value of commodities when displaying yellow goods of the same color system. It can be seen that if the contrast colors such as black and white goods are displayed, the products will be more distinct, and the contrast color must be used. Shop coloring can not only improve the purchasing power of customers, but also improve the standard of goods.

Related links:

1, sales index analysis: the main analysis of the sales situation this month, sales indicators completed this month, compared with the same period last year. Through the analysis of this set of data, we can know the difference between year-on-year sales trend and actual sales and plan.

2, gross margin analysis: the gross margin and gross margin of the month are analyzed, compared with the same period last year. Through the analysis of this set of data, we can know the situation of gross profit and the shortage of gross profit.

3, operational cost control analysis: mainly the detailed analysis of the cost of the month, compared with the same period last year, whether there is no cost savings control costs. The costs are: staff costs, energy consumption, materials and office supplies, maintenance costs, inventory losses, daily operating expenses (including telephone charges, transportation costs, garbage fees, etc.). Through this set of data analysis, we can clearly know whether the expenses of the store operation can be controlled, whether there is an abnormal cost and whether there is room for saving.

4, Ping efficiency: mainly in the month, compared with the same period last year. "Average daily efficiency" refers to the "daily average unit area sales", that is, the average daily sales volume and the business area of the stores.

5, per capita labor efficiency: mainly the per capita labor effect this month, compared with the same period last year. "Monthly per capita labor efficiency" calculation method: sales amount this month / monthly salary.

6, inventory loss rate analysis: the main result is the brief analysis of store inventory results. Through analysis, we can find out the problems existing in the various aspects of commodity entry, sale and storage.

7, store merchandise inventory analysis: mainly the average commodity inventory and turnover days this month, compared with the same period last year. Through the analysis of this group of data, we can see whether there is an anomaly in store inventory, especially whether there is a backlog of stock.