Report on Harvest Kitchen Shop and Management
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Added on 2020-03-16
Report on Harvest Kitchen Shop and Management
Added on 2020-03-16
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Report on Harvest Kitchen ShopName............................................................Course Name...........................................................School ............................................................Department....................................................Lecturer name...........................................................Task Name............................................................Date........................................................................
INTRODUCTIONHarvest kitchen is small health food shop located on Sunshine Coast. It is divided into retailsector; harvest kitchen and box delivery system. As small health food shop in second year ofoperation since it opening may be affected by different season. One of main challenges facingstart up business is negative perception, people view them as not sufficient to provide qualityservices and goods, and this led to low sales (Amyx, 2005). Understanding the trend of profit andsales is important tool of management. Human capital and money is one of big challengesaffecting Harvest Kitchen. The management of Harvest Kitchen therefore needs to make properdecisions on when to require more human capital, expect rise in sales and require high delivery.This will help to optimize available resources for maximum profit. To achieve this use ofhistorical of the business is necessary. PROBLEM DEFINITION AND BUSINESS INTELLIGENCEHistorical data was collected for the last one year of trading and descriptive and inferentialstatistics were used to answer the following research questions:What are top and worst selling health food products in sunshine coast?Where is the product with highest revenue located?Do the sales differ within different months of year?Is there a difference in payments method?Is there difference in number of sales between different seasons?Does rainfall affect sales?The report adopted both inferential statistics and descriptive statistics. Descriptive statistics areused to describe the data and the distribution of data. In this report histogram, bar graph andmeasure of central tendency such as mean and mode were used. Inferential statistics are used toinfer about the data test hypothesis under study. In order to answer study questions. The reportmade use of analysis of variance, which is used for continuous data which is normallydistributed. Correlation analysis which measure association between two variables of interest, thePearson Moment correlation coefficient is given by (r) = {n ∑x y ─∑x ∑y √ [n∑x2 ─ (∑x)^2 ]
}÷{ [n∑y2 ─ (∑y)^2] }. Regression analysis was also used in the report analysis. The level ofsignificance was 0.05 (Neuman W., 2014).Data analysisDescriptive statistics Data analysis was done on IBM SPSS version 20. All variables in the data set were properlyscaled and with no missing cases. Date, weekday, month and seasons were ordinal and the rest ofthe variables were scale variables.Graph 1; the box plot of mean net sales of different seasonThere were no outliers of mean net sales of different season in a year. The data was normallydistributed. The sale was not affected by extreme values, where there are either vey low sales ofvery high number of sales.
The best selling product is water, then vegetables and fruit. There is high sale of water andvegetable and fruits this may be affected by the location and climate of Sunshine Coast.Where is the location of the product with highest profit?The product with highest profit was found to be outside front location of the shop. The productsfound at this place had a mean profit of $1809.63 while those located at left of the shop had
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