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 are sometimes different according to the day of the week.

There are usually enough workers on the job to open all checkout lanes. The difficulty for store managers is knowing when to call some of the workers stocking shelves up to the front of the store to work the checkout lanes.

a. How could analytics be used to help the supermarket?

b. What data would be needed?