Mean or Median Vending Sales: Which Figure Describes a Typical Day?
A single busy day can make average vending sales look stronger than the day most staff remember. The mean and median answer different questions. Use both when reviewing a small site’s daily records, and keep the actual daily figures available so neither summary hides the pattern behind it.
The mean is total sales divided by the number of days. The median is the middle daily result after the results are put in order. Neither is automatically the correct forecast. They are two ways to describe recorded activity, useful alongside opening hours, stock availability and the events that affected individual days.
Work through the same seven days
Suppose a machine sells 8, 9, 10, 10, 11, 12 and 45 items over seven comparable open days. These invented numbers illustrate the calculation; they are not an Irish vending benchmark. Total sales are 105 items, so the mean is 15 items per day. The middle of the seven ordered results is 10, giving a median of 10 items.
The difference tells you to investigate the day with 45 sales. It does not tell you to delete that day. A training event, a visiting team or an ordinary busy period could each require a different planning response. Annotate the known circumstances and retain the original figure. If the reason is unknown, say so rather than attributing it to a promotion.
Match the measure to the decision
For the total stock sold across that recorded week, 105 remains the useful starting point. Multiplying the median by seven gives 70, which does not reproduce the actual total. For a conversation about what a middle-ranking day looked like, 10 is informative. Using the median as if it were average weekly demand would miss 35 actual sales in this example.
If planning a refill, inspect the busiest interval between visits as well as the weekly total. A typical-day figure does not protect against a concentrated rush. Equally, permanently filling every selection for the busiest observed day may create unnecessary stock if that day was exceptional. Separate regular demand from known events and agree how the operator will handle both.
Keep the underlying days comparable
Include genuine zero-sales days when the machine was available and the site open. Distinguish those from missing records, closures or periods when the machine was unavailable. Do not turn an unknown value into zero merely to complete a spreadsheet. Record the reason for exclusions and use the same rule when comparing the next period.
For an even number of daily results, the median is the mean of the two central values after sorting. Six results of 8, 9, 10, 12, 13 and 14 give a median of 11. This need not be an observed day’s total. Label the result clearly so colleagues do not look for a nonexistent day with exactly 11 sales.
Make a short review note
Show the period, number of usable days, total, mean, median and any important interruptions together. Add a simple list or chart of daily sales. This makes an unusual day visible without letting it dominate every conclusion. A small sample describes that sample; it does not prove what the next month will deliver.
When planning a vending business, use these measures to challenge assumptions rather than promise returns. Keep the forecast separate from the historical summary, identify expected changes in attendance or access, and review the next comparable period. The aim is a stock and service decision that can be explained from the records.
For a proposal suited to your site, contact our team with the location, expected users and your main requirements.
Related guidance: A Vending Product Has No Sales on Some Days: Include the Zero Days in Your Average.
