Create An Order And Inventory Projection ✓ Solved

Create an order and inventory projection

Cleaned Assignment Instructions:

Create an order and inventory projection. You are provided with an Excel file named SC_EX19_EOM3-1_FirstLastName_1.xlsx. Save the file with a new name, changing the “1” to a “2”, and ensure your first and last name appear in cell B6 of the Documentation sheet. If your name does not appear, download a new copy from the SAM website.

Open the Orders worksheet (renamed to "Orders and Inventory"), unfreeze the top 2 rows, and middle-align the contents of the merged cell A1. Cut the contents from cell K2 and paste into cell A2. In cell B2, insert the current date using the NOW() function. Merge and center the range A3:A9, rotate the text up to 90° in this cell, and set the column width of Column A to 5. Copy the formatting from B5:K5 and apply it to B7:K7. Decrease the indent in cell B8 by one level. Copy the values from C26:G26 to C8:G8 and then delete row 26.

Use Goal Seek to set cell C11 to 300 by changing C7. Insert a line sparkline in H4 based on C4:G4; fill H5:H9 based on H4, change the sparkline color to Gold, Accent 6, Darker 25%, add markers for each month with a Green, Accent 4, Darker 50% color. Copy the formula in K4 to K5:K8 with formatting. Insert in C12 a formula that divides August total (C9) by total orders (I9), using an absolute reference to I9; copy this formula across D12:G12. Insert a column sparkline in H15 based on C15:G15, showing high and low points. Fill H16:H23 with the contents of H15, and copy the formula from I15 to I16:I23. Change the chart J10:O23 to a pie chart titled "Average Orders per Month," add outside data labels.

Save the workbook, close it, and submit as instructed.

Sample Paper For Above instruction

The project requires creating a detailed order and inventory projection model using Microsoft Excel 2019. The process involves multiple steps of data entry, formatting, formulas, and chart creation to present a comprehensive overview of HardyFit Tools' sales and inventory trends.

First, upon opening the starter file, the user must save it with a new name, ensuring their name appears correctly on the Documentation sheet. This initial step ensures proper file management and personal identification. Then, the user focuses on preparing the Orders worksheet by renaming it to "Orders and Inventory," facilitating clarity in data organization.

Unfreezing the top two rows allows visibility of header information and provides space for formatting adjustments. Middle-aligning the contents of the merged cell A1 ensures aesthetic consistency, and cutting and pasting data from cell K2 to A2 maintains data integrity while repositioning information as per project specifications. Inserting the current date through the NOW() function dynamically updates the worksheet, reflecting the latest analysis period.

The task then involves merging and center-aligning cells in range A3:A9, rotating the text to improve readability, and adjusting column width for optimal display. Applying consistent formatting from B5:K5 to B7:K7 enhances visual uniformity across headers, while decreasing indentation in B8 aligns the data presentation standards. Copying values from a previously calculated range and pasting only the values into another area helps consolidate data, especially after deleting redundant rows.

Subsequently, the use of Goal Seek allows for interactive goal setting, enabling the user to adjust variables until desired results are met—here, setting C11 to 300 by altering C7. This tool is crucial for planning scenarios and forecasts.

Visual representations via sparklines—miniature charts embedded within cells—allow an at-a-glance understanding of data trends. The line sparkline in H4 illustrates order trends across months, and its customization with color and markers accentuates specific data points, making the visualization more insightful.

Copying formulas across ranges, particularly for calculating ratios like the proportion of August orders relative to total orders, introduces automation and efficiency. Absolute references in formulas ensure accuracy when copying across columns. The column sparkline in H15 summarizes order quantities, highlighting high and low points for quick trend identification.

Lastly, chart transformation from a default chart to a pie chart, labeled with a descriptive title, enhances data presentation by visualizing the demand distribution among months. Adding data labels outside each slice allows for precise communication of proportions.

Overall, this project demonstrates proficiency in Excel functions, formatting, charting, and data analysis techniques, essential skills for business reporting and decision-making. Proper execution of these steps results in an informative, visually appealing worksheet that reflects order and inventory trends effectively.

References

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