Analysis Of Single Store Sales Data

< p > < strong > 1, < a href= "http://www.91se91.com/news/index_c.asp > > delay" /a > analysis.

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

Chang Xiao is a larger sales style in a certain period of time, while the lag is opposite. It means a smaller sales pattern in a certain time.

The degree of ease of pattern 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, so it can not be regarded as a smooth cancellation, because the contribution rate of the shop to the shop is not large.

In the analysis of idle money, it is generally divided into weeks, months and seasons from time to time, and generally according to the overall style and styles.

The elimination of style analysis will be helpful to the replenishment judgment of different styles. After comparing the sales of the same styles, combined with inventory, we can determine the amount of replenishment needed to replenish the goods, reduce the losses caused by shortages and increase the profit contribution rate of a single item. The analysis of cross section analysis can also check the extent of the display and shopping guide recommendation. If a certain quantity of orders is larger and sales are less, we should first check whether the display is in the key position and whether the shopping guide is the key point to recommend it. The analysis of relaxation and dissipation style can improve the aesthetic standards of orders and grasp the positioning of the brand style. The analysis of multiple delays can help greatly the aesthetic judgement ability of different styles when ordering.

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< p > < strong > 2, single sales less than a href= "http://www.91se91.com/news/index_c.asp" > life cycle < /a > analysis.

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The sales cycle of "P" 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 item 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 the broken line chart, so as to determine its selling life cycle.

As shown in the following figure.

If the other factors such as display in this time period are not changed, the 5-9 day is the peak sales period, and the days before and after it are very large contrast, so we should compare the recent weather and temperature and the style characteristics.

Generally speaking, there are three main reasons for the serious decline of single sales: first, the recent temperature and temperature are not suitable for the sales; two, the sales life cycle has arrived, is a normal decline; three is a new style similar to it, and may be more prominent when it comes to Chen Li, because consumers are more tired of the new style.

If the inventory is large, we should make corresponding countermeasures.

If it is the first reason, we do not need to rush to wait until the weather is most suitable for display. However, we should consider whether there is some problem in the time of loading. If there are second reasons, we should immediately promote sales to enhance the competitiveness of the unit and the inventory risk of the item. If there are third kinds of circumstances, we should consider the withdrawal or display of the new competitive items in a more general position, and review the timing of the shipment.

On the contrary, if there is still a certain sales potential according to the sales trend, it is possible to analyze how many pieces of the fund can be sold, so that combined with its own inventory, we can carry out the right quantity replenishment quickly, so as to reduce the shortage loss.

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< p > < strong > 3, < a href= > http://www.91se91.com/news/index_c.asp > business hours < /a > analysis.

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< 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.

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