A supermarket has been experiencing long lines during peak periods of the day. The problem is noticeably worse on certain days of the week, and the peak periods sometimes differ according to the day of the week. There are usually enough workers on the job to open all cash registers. The problem the supermarket manager faces is knowing when to call some of the workers who are stocking shelves up to the front to work the checkout counters. Use this information to answer the given questions. How might business analytics help the supermarket manager? Select all that apply. A$.$ A model can be developed to forecast customer demand for a set amount of time in the future. B$.$ The manager can use analytics to schedule the minimum necessary or predicted number of workers for cash registers in order to ensure that none of the cash registers are idle. c$.$ A model might be developed to find the number of checkout counters to open to ensure a reasonable wait time or maximize customer throughput. D$.$ Business analytics can help to predict customer demand at the checkout counters and determine the appropriate number to have open. E$.$ The manager can use analytics by examining historical data on customer flow during each hour of each day of the week and month.