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    Attention To Decoration Of Clothing Shop

    2015/4/1 15:33:00 15

    ClothingShopDecoration

    A single window can change the display clothes at any time. Up to 8 windows can be used. The new products can immediately display the windows on the shelves so that the buyers in the storehouse can not put the good style in the store window at the usual time. Now they can be put up for guests to pick, so that you have plenty of supply and many styles.

    The display window can be changed at any time, for example, the window on the left side is replaced with the window display on the right side, and the mouse is dragged to complete the exchange.

    Shop can set up shop notice, you can write down the characteristics of your store, and the right crowd has not yet entered the shop. As soon as you see, your clothes are suitable for him. You will often come in to see if you want to discount, you can also write in.

    You can upload your logo to set up shop logo, which will be displayed in the front page of the store. This identity card is very important, maybe it will be your brand logo later.

    Upload photos of the store, although not meeting, first face with the guests cooked.

    Set up shop introduction, write detailed store information, for example, what style, what price, women's wear or men's clothing, spring or summer clothing, suitable for crowd and so on, let visitors further understand the shop.

    According to the characteristics of store operation, set up online shop style, for example, if you are selling fashionable girl dress, choose a cute pink.

    The actual address of your store can also be marked in the shop map, so that the guest will know how to go to your store.

    Do not use your likes and dislikes to determine which arrangement is the best. You can take a look at the visitors' comments and comments on your store, refer to the statistics report of the shop (this is the account book, you can also investigate the sales volume and clothing sales volume), and adjust at any time.

    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, pportation 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.

    Level ground effect

    This is mainly the situation of Ping efficiency this 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.

    Business area

    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 volume this month / month

    wages

    Number of people.

    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.


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