Case Study 2: Forecasting Lost Sales ---INSTRUCTIONS ATTACHEDPrepare a report for the management of the Kingsley department store that summarizes your findings, forecasts and recommendations. Include...

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Case Study 2: Forecasting Lost Sales ---INSTRUCTIONS ATTACHED

Prepare a report for the management of the Kingsley department store that summarizes your findings, forecasts and recommendations. Include the following:

1.
An estimate of the sales had there been no hurricane.

Hint: Remember to graph this time series data over the 48-month period to help you determine the type of approach to use to determine the forecast sales for the final 4 months of 2013 for Kingsley department store. Is there a trend in the data (growth or decline)? Is there seasonality in the data (this is a department store … Christmas time and beginning of school are normally big sales periods)? Is there both trend and seasonality?

2.
An estimate of the countywide department store sales had there been no hurricane.

Hint: By comparing the forecast of county-wide department store sales with actual sales, one can determine whether or not there are excess storm-related sales. By computing what is known as a "lift factor" – the ratio of actual sales to forecast sales – you have a measure of the magnitude of excess sales, if these do indeed exist

3.
Your final estimate of lost sales for the Kingsley Department store for Sept – Dec 2020.






The Kingsley Department Store suffered heavy damage when a hurricane struck on August 31, 2016. The store was closed for four months (Sept – Dec 2020) and Kingsley is now involved in a dispute with its insurance company concerning the amount of lost sales during the time the store was closed. Two key issues must be resolved:

1.
The amount of sales Kingsley would have made if the hurricane had not struck; and

2.
Whether Kingsley is entitled to any compensation for excess sales from increased business activity after the storm






Answered 8 days AfterOct 23, 2022

Answer To: Case Study 2: Forecasting Lost Sales ---INSTRUCTIONS ATTACHEDPrepare a report for the management of...

Rochak answered on Oct 31 2022
55 Votes
Sales estimate if there was no hurricane
It can be seen from the data set that the sales data has a trend that it follows across the 48-month period, and also
the sales have seasonality therefore we see a spike in sales during the month of November and December because of Christmas and the beginning of the school period.
To forecast the sales, we use a forecast measure to account for both trend and seasonality.
The sales data represent that there is a trend in the sales, and also the sales have a seasonality in them. So, this means that the sales data for Kingsley Department Store for the 48 months have both trend and seasonality which is accounted for to calculate the forecast for the coming four months which are September, October, November, and December 2020.
The sales forecast is represented in orange colour in the graph and the appropriate values forecasted are as follows
    Month
    Sales
    Sep-20
     2.21
    Oct-20
     2.53
    Nov-20
     3.04
    Dec-20
     4.44

Countrywide sales if there was no hurricane
The actual sales for countrywide sales with hurricane and without hurricane are not different as Kingsley thought contributes a big amount but the forecast for the same has not been huge during the hurricane period and therefore, we see that the actual sales and the forecast sales are almost overlapping.

The countrywide department store sales data has been plotted in the above graph along with the sales which would have been when there would have been no hurricane. The forecast for the same has...
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