Kraft Bakeries introduced in 2019 a new line of frozen apple pie. For 2019, sales by quarter were asfollows: 11,000 units, 16,000 units, 15,000 units, and 20,000 units. Because of aggressive marketing and promotion, the company expects that sales for each quarter of 2020 will be 25% higher thanthe respective quarter in 2019. The selling price per unit in 2020 is expected to be $4. What are theexpected sales, in units and dollars, for the second quarter of 2020? For the third quarter of 2020?

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A retail manager seeks a better way to forecast the demand for LED light bulbs. She believes the demand is related to advertising expenditure. The table below shows historical data for the past 5 months. A) Is there a relationship between sales and advertising? How strong or weak? B) The company will spend $1,750 next month on advertising. Determine the forecast for sales? Historical Data: Month 2 3 4 5 Sales 264.000 116.000 165.000 101.000 209.000 Advertising $2.500 $1.300 $1.400 $1.000 $2.000

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2) A manager has prepared a forecast of expected aggregate demand. Develop an aggregate plan that assumes: A level production rate, back orders are allowed and are charged at the rate of $15 per unit per month, inventory holding costs are $2 per unit per month in average inventory, regular time cost is $7 per unit and beginning inventory is zero. Show the aggregate plan and determine the cost of this plan. (use excel to show formulas for your calculations) Month Forecast 270 2 310 280 4 350 310 280

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Enhancing Macy’s e-commerce Success with Trend ForecastingDespite the bleak retail environment that has led to the closure of many iconic American department stores this year, Macy’s has managed to stay afloat by adjusting their strategy to suit the needs of our rapidly changing world. This means focusing on e-commerce, at which Macy’s has proven to be very successful. In fact, the retailer reported a 53% increase in digital sales during the most recent quarter, attesting to Macy’s ability to stay relevant during a time when the existence of physical retail stores is being called into question.To build on their recent online success, Macy’s can infuse trend forecasting to their e-commerce strategy to ensure that the retailer is in tune with changing consumer tastes, and plan their collections accordingly. With insights into the kinds of images with which consumers interact on social media, Macy’s can get a clue into how trends will behave ahead of the market. With this data, it is…

Q: Using exponential smoothing with a weight ex of 0.6 on actual values:  (a) if sales are $45,000 and $50,000 for 2010 and 2011, what would you forecast for 2012?  (b) given this forecast and actual 2012 sales of $53,000, what would you then forecast for 20013?    (a)  (b)

Please help with the correct answers in details:    Centerville Bikes and Stuff (CBS) sells motorcycles and accessories. The number of helmets sold by CBS per week for the past six weeks follows. Week 1 2 3 4 5 6 Value 19 14 17 12 18 15 a)  Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time SeriesValue Forecast 1 19   2 14   3 17   4 12   5 18   6 15     What is Compute MSE?  (Round your answer to two decimal places.) MSE = ? What is the forecast for week 7?   b)  Use ? = 0.2 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1 19   2 14   3 17   4 12   5 18   6 15   What is Compute MSE. (Round your answer to two decimal places.) MSE = ? What is the forecast for week 7? (Round your answer to two decimal places.)   c)  Use ? = 0.4 to compute the exponential smoothing values for the time series. Week Time SeriesValue Forecast 1…

Given the following history, use a three-quarter moving average to forecast the demand for the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2nd quarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, Dec. (Round final answer to a whole number.) JUN FEB 140 150 APR 180 200 MAY 190 200 ОСТ 220 DEC 270 JUL SEP NOV 235 JAN MAR AUG 155 Last year This year 120 140 150 220 165 145 155 230 Forecast for the third quarter