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You are opening a limited-time pop-up coffee stall in your campus's business building. Your pop-up will use the space of an existing sandwich shop

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You are opening a limited-time pop-up coffee stall in your campus's business building. Your pop-up will use the space of an existing sandwich shop that is only open from 11:00 a.m. to 2:00 p.m. Monday through Friday. Your coffee stall will be open from 3:00 p.m. through 9:00 a.m. the three weeks leading up to and during midterms and finals weeks. The sandwich shop already has a lot of things you need, like refrigerator space and display counters, but it doesn't have any coffee equipment. Your university approved your pop-up for this semester, but those in charge want to see if you are successful before they approve your opening again in future semesters. Match each of the following data points you collected while operating your pop-up to an explanation of how you could use it to show your university where your pop-up was succcessful or failed. 1. Total number of coffees sold (including a 2. 3. 4. Can be used to forecast the need for ingredients, paper products (cups, napkins, etc.), as well as times for the Can be used with 3 and 5 to determine profits. PROFIT would be $6,334.00. Total amount earned (before depreciatic Can be used with 8 to see what percentage of students were customers. This could also help with marketing Can be used with 7 to see what percentage of students were customers. Create a "loyalty program" to track your Cost of all ingredients and supplies purc Long waits mean the pop-up was popular. Use this information to see if you need to employ more baristas to cut Using 2, 3, 4, and 5 to determine recovery on initial investment. Pop-up already earned enough to cover You need to sell at least 606 cups of coffee to break even on the ingredient cost. If divided by 30 days of Cost of fixed asset purchases (like espres You have employed two students who were making $12 per hour (job creation). You can use wages paid to machine) 5. Cost of paying baristas 6. Average wait time (length of line)

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