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    5 Key Points Of Successful Business Strategy For Garment Industry

    2015/5/7 9:03:00 50

    Fashion TrendMarketingEnterpriseBrandStylePositioning

       1. The role of shop sales data analysis

    1, help to make market decisions correctly and quickly.

    Fashion 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 customer demand and its changing rules can we quickly adjust the product mix and inventory capacity according to the response of consumers to the marketing plan, adjust the product price ability, change the sales promotion strategy, seize the business opportunities, improve the turnover speed of goods, and reduce the backlog of commodities.

    2, help to understand the implementation results of marketing plan in time.

    A comprehensive and comprehensive sales plan is a guarantee for the success of a garment enterprise. The analysis of the results of the sales plan is an important measure to adjust the sales plan and ensure the smooth implementation of the sales plan. Through clothing sales data The analysis can reflect the completion of the sales plan in time, help the salesmen to analyze the problems in the sales process, and provide the basis and Countermeasures for improving the sales performance and service level.

    3, help to improve the efficiency of clothing enterprise marketing system operation.

    Data management and communication are the signs 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.

    4 key points of brand clothing chain store manager in store management

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      Two, single store sales data analysis

    1, analysis of slow sales

    The analysis of sluggish sales is one of the simplest, most intuitive, and most important data factors in single store sales data analysis. The best selling style is a larger sales style in a certain period of time, while the unsalable sales is the opposite, which means the sales volume is smaller in a certain time. The level of unsalable sales is mainly related to the different levels. style The amount of disposable stock (that is, the sum of the original order plus the quantity of goods that can be added) is related to, for example, the sale of a particular item 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. profit The contribution rate is large. In the analysis of sluggish sales, it is generally divided into weekly, monthly and quarterly terms from time to time.

      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、導購推介的程度,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。

    2, single sales life cycle analysis

    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.

    3, business hours analysis

    Generally speaking, the opening time and closing time of shops in a region 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 transaction, 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.

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      Three, data analysis of goods sold between stores: a comparative analysis of sales / inventory

    For Brand Company, provincial agents or franchisees of many brands, the sales comparison between the shops and the allocation of goods can effectively enhance the logistics management capability of the general store, as well as the sales level of each store and the ability to solve the inventory problem. 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. Give an example

    Among them, there are three important problems in the design of X. The first is that all stores sell well. Why is A shop selling poorly? It is because A shops do not really like it. style Or is there a problem with this item, 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 stores and C stores for the current headquarters inventory. Is it an average allocation or a certain one? shop And the style Y has two problems. The first is the A store and B store sales inventory there is a big contrast, should consider the two shop of the goods to deploy, so that not only can increase the sales volume in the A shop, but also can effectively eliminate the low B stock; the second is the C shop sales generally, but the stock is also less, because its sales volume is insufficient or its own sales potential, whether should consider the general warehouse to store C shop again. Of course, there will be more phenomena in the comparative analysis of sales / inventory between actual shops. As long as we analyze and respond to different phenomena, we will be more helpful to the sale of stores.

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       Four, analysis of contribution rate of old customers

    A famous rule in marketing is called 20/80 rule. In customer management theory, 20% of customers finish 80% sales, and 20% of them are our old customers, especially those who hold our brand VIP card. Therefore, the management of old customers is one of the most important items in store management. Some brands and shops often make some VIP cards invalid because of unreasonable processing conditions for VIP cards, or other special reasons of customers, such as shopping and shopping. 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, followed by a more accurate management of the old customers. For example, targeted messages to old customers, new products and promotions, VIP exclusive privileges, birthdays and holiday gifts will greatly enhance the brand loyalty of old customers, introduce friends, repeat the frequency and desire to buy again.

       Five, personal sales ability analysis

    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.


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