. Identify the data that might use for customers who will buy the new Pizza. 2. What plan or alternative plan might use to sell the pizza?11:35 AM
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Jing's Pizza wants to know to whether customers will buy the new Fancy Feijoa pizza. You are the owner's son/daughter and your mum (the owner) knows you have just completed a paper in business analytics. She asks (or tells!) you to come up with a plan to answer her question. Luckily, she has a database of frequent customers in an excel spreadsheet. You go through your notes and decide that you will use clustering and find groups of similar customers in her spreadsheet.
1. Identify the data that might use for customers who will buy the new Pizza.
2. What plan or alternative plan might use to sell the pizza?11:35 AM
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- Demand forecasting is the primary data for decision-making in any organization. What will happen if organizations do not conduct a demand forecast? Consider any company of your choice and elaborate on your answer that you have given in part 1.Hello: I am trying to fine-tune this question in quotes below to become a qualitative response variable but seems a pretty difficult one: "How do we model phenomena of sales quantity purchased from the pharmacy stores such as the pharmacy numbers that have the greatest number of basket sales in a given year, and dates (that is, days of the week) that have the greatest number of basket sales per year? Does the location such as States or Zip codes as well as weather conditions have any influence on the sales?" Please AdviseIf Mr. Ishaq is the Director of Lexus Company in Nizwa, what does he need to do to predict customer sales or product demand? a. Forecasting b. Marketing c. Production d. Coordination
- If a firm wants to forecast its gross margin by product for the next year, how does the firm do so? Select an answer: product revenue projection times projected gross margin for the product total revenue projection times projected gross margin for the average product product revenue projection divided by projected gross margin for the product total revenue projection divided by projected gross margin for the average productA key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…A key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…
- B. The following table shows the number of televisions sold over the last ten years at a local electronic store. year TV sales 1 150 2 300 3 480 4 600 5 630 6 640 7 700 8 825 9 900 10 980 i. Using the trend projection, develop a formula to predict sales for years 11 and 12. Develop a table to calculate the slope and intercept. Please Show All Working. Use that formula to forecast television sales for years 11 and 12A key factor for success for a retailer is a phenomenal forecasting process and resources (Jack Barker, 2015) because forecasting is a fundamental part of Spar Group Limited supply chain operations. To assist in leveraging this key factor, Spar Group Limited develop protocols forforecasting, and select a forecasting team with representatives from all the trading partners and stakeholders. Spar uses forecasting systems to provide a clear and actionable path for business activities, this helps the business to conquer certain market challenges (Graham O’Conner, 2018).Spar’s production forecast and scheduling process are broken down into two parts: planning, based on a monthly forecast, of assembly and components orders and daily scheduling of packaging custom products and sterilization based on finished goods inventory levels.During the fourth quarter of each fiscal year, Spar’s marketing and finance teams determine the annual forecast. The annual forecast is broken down based on…Explain the term Forcasting. Why forcasting are Forecasting is one of the important functions of management. It is a part and parcel of planning function. Forecasting means prediction about future. Forecasting means analysis of future about the operations of an enterprise. It involves looking ahead for future event. Forecasting means a process of providing the details supported by budget. Forecasting means drawing a conclusion about production, sales, profit on the basis of research, study & survey.
- Please help with correct answers in details: Step by step Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Week Sales (1,000sof gallons) 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 (a) Compute four-week and five-week moving averages for the time series. Week Time SeriesValue 4-WeekMovingAverageForecast 5-WeekMovingAverageForecast 1 17 2 21 3 20 4 24 5 18 6 17 7 21 8 19 9 22 10 21 11 16 12 22 b) Compute the MSE for the four-week moving average forecasts. (Round your answer to two decimal places.) c) Compute the MSE for the five-week moving average forecasts. (Round your answer to two decimal places.) d) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? MSE for the three-week moving average is 9.65.…Hide Assignment Information Instructions Exercise #5 For this week exercise, we need to try a few logit models (see this link for more information: LOGIT REGRESSION) If you have chosen to work with Excel, please run above three models and complete the following tables. Model 1: Run a regression model and use being a member of network and find out its impact on hospital cost? (Model 1) Model 2: For the 2nd model run a regression model and use being a member of network and find out its impact on hospital cost and hospital revenue? (Model 2) Model 3: For the 3rd model run a regression model and use being a member of network and find out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Based on your finding please recommend 3 policies and discuss the impact of being on a network on hospital cost, hospital revenue and out its impact on ratio-Medicare-discharge and ratio-Medicaid-discharge. Do you recommend keeping membership for a hospital? Why or why not?The table below shows the sales figures for a brand of shoe over the last 12 months. Months January February March April May June July August September October Sales 69 75 86 92 95 100 108 115 125 131 140 150 November December a. Using the following, forecast the sales for the months up to January the following year:- i. A simple three month moving average. ii. A three period weighted moving average using weig of 1, 2 and 3. Assign the highest weight to the most recent data. iii. Exponential Smoothing when a= .6 and the forecast for March is 350. iv. Determine which of the three forecasting technique is the most accurate using MAD.
