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    5 Key Points Of Store Management: Clothing Store Management

    2013/6/14 12:01:00 25

    ClothingClothingShop Management

    < p > in the process of the operation and management of < a target= "_blank" href= "http://www.91se91.com/" > clothing < /a >, there will be a lot of data related to clothing marketing, which are the basic basis for clothing shops to study the law of clothing marketing, formulate ordering, replenishment, promotion plans, and adjust management measures.

    With the development of information technology, the ability of collecting, sorting and analyzing marketing data will continue to increase.

    Some brands with good business philosophy have installed professional clothing sales software and networking for all terminal stores. The company's marketing center is equipped with professional data analysts for timely data analysis. Excel software also has powerful data analysis and countermeasures.

    < /p >


    < p > < strong > clothing store management: 5 key points of store management: < /strong > < /p >


    On the contrary, more Brand Company and franchisees don't even have the most basic sales data (such as daily reports, monthly reports, etc.). They don't even know how much they sell last month. Some of them have data but are merely furnishings. They haven't been analyzed and applied for P.

    Strengthening the collection and management of marketing data, and carrying out a reasonable, correct and effective real-time analysis will help clothing brands and stores gradually overcome the limitations caused by experience marketing or excessive dependence on experienced marketers, form a new concept of scientific marketing, and enhance the market awareness, market management ability and market adaptability of brands and shops.

    < /p >


    < p > < strong > 1. The role of shop sales data analysis < /strong > < /p >


    < p > < strong > 1 is conducive to making a correct and quick decision in the market < /strong > /p >


    < p > clothing business has the characteristics of fast changing trend and relatively short sales period.

    In the process of garment marketing, only timely grasp of the clothing sales and market demand and the changing rules of customers can quickly adjust the product mix and inventory capacity according to the response of consumers to marketing programs, adjust product prices, change sales promotion strategies, seize business opportunities, improve turnover power and speed, and reduce backlog.

    < /p >


    < p > < strong > 2 is helpful to understand the implementation results of marketing plan in time. < /strong > < /p >


    < p > a comprehensive and comprehensive sales plan is a guarantee for the success of the garment enterprises. The analysis of the execution results of the sales plan is an important measure to adjust the sales plan and ensure the smooth implementation of the sales plan.

    Through the analysis of clothing sales data, we can timely reflect the completion of the sales plan, help business personnel to analyze the problems in the sales process, and provide the basis and Countermeasures for improving sales performance and service level.

    < /p >


    < p > < strong > 3 is helpful to improve the efficiency of the marketing system of garment enterprises < /strong > < /p >


    < p > data management and communication is the symbol of the normal operation of the garment enterprise system.

    Every link in the process of apparel marketing is integrated by data management and communication. Lack of data management and communication often result in runaway management, such as loss of goods.

    The lack of data exchange between shops and shops will lead to inaccuracy of exchange of information and goods information, management information blocking and goods allocation.

    < /p >


    < p > < strong > < a > target= "_blank" href= "http://www.91se91.com/" > brand clothing > /a > chain store manager has 4 focuses in store management: /strong > /p >


    < p > < strong > two, single store sales data analysis < /strong > < /p >


    < p > 1, the analysis of slow and slow sales analysis is one of the simplest, most intuitive, and most important data factors in single store sales data analysis.

    The sales amount is a larger sales style in a certain period of time, while the unsalable sales is the opposite, which means that the sales volume is smaller in a certain time.

    The degree of unsalable sales is mainly related to the disposable inventory of various styles (that is, the sum of the original order plus the quantity of goods to be filled). For example, the sales of one type is very good, but the initial order is very small, and it can not be filled, so that it is sold out in a short time, and its total sales volume is not large.

    In the analysis of sluggish sales, according to the time, generally according to the season, from the style generally according to the overall style and monthly, weekly, category style.

    < /p >


    <p>  暢滯銷款式的分析首先可以提高"訂貨的審美 觀"和對所操作"品牌風格定位"的更準確把握, 多次的暢滯銷分析對訂貨時對各款式的審美判 斷能力會大有幫助;暢滯銷式的分析對各款式的 補貨判斷會有較大幫助,在對相同類別的款式 的銷售進行對比后,再結合庫存,可以判斷出 需要補貨的量,以快速補貨,可以減少因缺貨 而帶來的損失,并能提高單款的利潤貢獻率;暢 滯銷式分析還可以查驗陳列、度,如某款訂貨數量較多,銷售卻較少的情況 下,則首先應檢查該款的陳列是否在重點位 置、導購是否重點去推介該款;暢滯銷款分析可 以及時、準確對滯銷款進行促銷,以加速資金 回攏、減少庫存帶來的損失。

    < /p >


    < p > < strong > 2, single sales life cycle analysis < /strong > < /p >


    < p > the single sales life cycle refers to the total time span of a single sale and the sales status of the time period (usually the selling period is correct).

    The analysis of a single sales cycle usually takes some key styles (order quantity and more stock styles) to do the analysis, so as to judge whether there is a shortage or generate inventory pressure, so as to make timely countermeasures.

    The sales cycle of a single item is mainly influenced by three factors, such as season and climate, sales characteristics of styles, competition between similar products in shops.

    In addition to professional sales software, the sales cycle of a single paragraph can be selected through Excel software. First, the number of sales per day in the sales cycle is selected, and then through the "insert" - chart function, the sales trend can be seen through the rectangle chart or broken line chart, so as to determine its sales life cycle.

    If there is still a certain sales potential according to the sales trend, it is possible to analyze the number of sales that it can probably sell, so that combined with its own inventory, we can carry out the right quantity of quick replenishment, so as to reduce the shortage loss.

    < /p >


    < p > < strong > 3, business hours analysis < /strong > < /p >


    < p > generally speaking, the opening time and closing time of shops in a district are almost the same, but there may be some differences in the arrangement of flights in the middle.

    This requires us to analyze the number of people entering the shop, the number of people trying to wear, the number of votes and the amount of money in each time period, so as to find out which periods of time have higher rate of entering the shop, the rate of entering the shop and trying out the paction, and then adjust the number of employees according to this result.

    For example, these factors are low in the morning, and the data of these factors are higher in the first hour before going to work. They may consider changing the business hours of the whole day. For example, when the data of these factors are very concentrated at a certain time, the most employees, energy and sales promotion can be concentrated in this time period.

    Through accurate data analysis to reasonably adjust working hours and work arrangements, can effectively promote staff enthusiasm and sales growth.

    < /p >


    < p > > strong > three, the data analysis of goods sold between different stores < /strong > < /p >


    < p > - Sales / inventory comparative analysis for Brand Company, provincial agents or a franchisee of many brands, the sales comparison between the stores and the allocation of goods can effectively enhance the logistics management capability of the warehouse and the sales level of all stores and the ability to solve inventory problems.

    We can do the analysis and management of the sales data between multiple stores through the form of sales / inventory comparative analysis between selected stores in a certain period.

    For the sales / inventory comparison table, the choice of the general store is in the same area; the choice of styles is usually about the same time.

    For example, there are three important problems in the design of X. The first is that all stores sell well. Why is A shop selling poorly? Is it because A shops do not really like the style of the shop, or is there any problem with the issue, or is there a problem in the introduction of the shopping guide?

    Is there a need to allocate the store to other shops? The second problem is that the overall sales of this section are good. In the light of the sales life cycle of this section, whether the headquarters needs to continue to order production and how much it needs.

    The third question is how to allocate B shops and C stores for the current headquarters inventory. Is the average allocation or first meeting a shop? And the style Y has two problems.

    The first one is that there is a big contrast between A store and B store's sales inventory. We should consider the allocation of the two store's goods, so that not only can it increase the sales volume of the A shop, but also effectively eliminate the low B stock; the second is the C shop is generally sold, but the stock is also less, because its sales volume is insufficient or its sales potential due to its own sales volume, whether we should consider storing the total warehouse to C shop to supplement /p.


    < p > of course, the sales / inventory between the actual shops is on the spot.

    Compared with the analysis work, there will be more phenomena. As long as the analysis of different phenomena and corresponding countermeasures, the sale of shops will be of great help.

    < /p >


    < p > < strong > four, analysis of contribution rate of old customers < /strong > < /p >


    < p > a famous rule of marketing is called 20/80 rule. In customer management theory, 20% of customers finish 80% of sales, and 20% of them are our old customers, especially those who hold our brand VIP cards.

    Therefore, the management of old customers is one of the most important items in store management.

    In some brands and shops, the processing conditions for VIP cards are unreasonable, or because of other special reasons of customers, such as shopping, shopping and so on. Often, some VIP cards are invalid cards.

    On the contrary, although some customers often patronize, but for some reason, they have not been able to achieve the VIP card conditions. This has brought some trouble to the VIP card customer management of the store, so the analysis of the contribution rate of the old customers is particularly important.

    We need to register and count the consumption of old customers, especially those holding VIP cards, and analyze the consumption characteristics, consumption frequency and consumption amount of the special key customers.

    First of all, we can work out a more reasonable VIP card handling conditions. Secondly, it is more accurate to manage the old customers, such as targeted SMS messages to old customers.

    < /p >


    < p > notification of new products and promotions, exclusive privileges of VIP, birthday and holiday gifts will enhance the brand loyalty of old customers, introduce friends, return frequency and desire to buy again.

    < /p >


    < p > < strong > five, employee personal selling ability analysis < /strong > < /p >


    < p > through the analysis of the personal sales ability of employees, we can understand and grasp each employee's working ability and working mindset in time, so as to suit the remedy to the case and improve personal sales performance.

    < /p >

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