利润分析

利润分析
以上图片所示的布局在扩散板造型定价系统。这一部分包含最有价值的信息对未来的累积收入和累积利润分析。分析表明,在16天的卖出席位总数是250,但他们圈只有41和失速席位149个座位。完整的业务的利润率在24.3%左右。
我们每天可以设置自动最大化过程优化每天出售的价格和座位。我们将产生的销售额和利润图总席位销售在过去15天。这些天可以改变和估计可以做天的基础上最初的输入或结果。我们观察到产生的累计收入250个席位的14275英镑,导致总成本的过程是10800英镑,这表明赚取的利润大约是3475英镑为15天就足够了。
用户可以改变各种参数不同的结果。,如果用户希望看到的销售在过去15天之后他可以点击“生成销售图”和宏将运行并将重定向到销售图,在屏幕上输出,用户将看到和逐日总销量增长。
如果用户想要了解产生的总利润和个人出售的门票将点击“生成盈利图”,用户将能够看到生成的输出作为利润。同时用户可以计算个人和累积利润。
这个表也帮助我们生成性能明智的报告中为每个15天。
利润分析
The above shown picture is the layout of the price setting system in spread sheet modelling. This part contains the most valuable information about the future analysis of the cumulative revenue and cumulative profit. The analysis shows that at the end of 16 days the total number of sold seats were 250 but out of them circle seats were only 41 and stall seats were 149. The profit margin is around 24.3 percent in the complete business.
We can set the automatic maximization process for the each day for optimizing the prices and the seats sold per day. We will generate the sales and profit graph for the total seats sold in the last 15 days. These days can be changed and the estimation can be done for the more days on basis of initial input or past result obtained. We observe that the cumulative generated revenue for the 250 seats is 14,275 GBP and the total incurring cost for the process is 10,800 GBP which shows that the earn profit is around 3,475 GBP which is sufficient for 15 days.
The user can change the various parameters to see the different result. And if the user wants to see the sales for the last 15 days then he can click on ‘generate sales graph’ and the macro will run and will redirect to the sales graph as an output where on the screen user will see the total and day by day sales growth.
If the user wants to know about the total and individual profit generated by selling of tickets will click on ‘generate profitability graph’ where the user will be able to see the output as generated profit. Also the user can calculate the profit margin individual and cumulative.
This table also helps us in generating the performance wise report for each 15 days.

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