A par level is the quantity you aim to have available after replenishment. It gives the route team a clear target instead of an instruction to “fill the machine”. A good target keeps important products available until the next visit without loading slow sellers simply because there is empty space.
Set the target by product and location. The same snack can sell quickly at one workplace and slowly at another. Copying one machine's settings across a route saves setup time but can create repeated stockouts and waste.
Count the trading days between visits and consider any delay before an extra visit could be made. Use an average daily sales rate drawn from comparable days when the product was actually available. A weekend-only venue needs a different basis from a weekday office.
A basic planning target is expected sales before the next refill plus a buffer. The buffer covers normal variation and practical response time. It should come from observed conditions, not an arbitrary percentage applied to every selection.
In a hypothetical example, a drink sells five units per trading day and the next visit is three trading days away. Expected demand is 15 units. Adding a four-unit planning buffer gives a target of 19. If six saleable units remain, the suggested addition is 13, subject to the checks below.
The target cannot exceed the tested usable capacity for that product. Bottles, flexible bags and boxes occupy space differently, and an overfilled lane may dispense poorly. Use capacity from the actual loading configuration rather than a maximum figure for a different assortment.
For short-life food, also limit the target to what can reasonably sell before required removal. A capacity of 30 does not justify loading 30 meals with a short selling window. If demand exceeds both the safe loading quantity and available capacity, shorten the service interval or reconsider the configuration.
The calculation is only as good as the balance it starts with. A dashboard that shows ten units when only two remain will produce an inadequate refill. Check the last communication time and investigate recurring mismatches between digital and physical stock.
Record damaged items, waste and test vends as removals using the supported workflow. Do not reduce the next pick quantity for products that are physically present but unavailable for sale. A jammed item is not useful stock until the fault has been resolved.
If the desired target repeatedly exceeds one lane's capacity, consider allocating an additional compatible lane. Compare the lost space for another product with the demand being missed. More variety is not automatically better if the most requested item is usually unavailable.
Test delivery after any change in product size or configuration. Update the product mapping, price and displayed description at the same time. A larger allocation that causes jams is not an improvement.
A conference, school break or shift-pattern change can make the normal average misleading. Record a temporary adjustment with a start and end date rather than permanently raising the target after one busy day. Return to the ordinary setting when the event ends unless the evidence supports a lasting change.
For a new product, begin with a measured trial quantity and review availability as well as sales. A low sales count might reflect weak demand, but it might also reflect poor visibility, an incorrect price or a dispensing fault. Check those explanations before removing it.
Review these exceptions after several representative service cycles. Adjust targets in manageable steps and keep the reason for each change. The aim is a dependable operating routine, not a forecast that appears precise to several decimal places.
Use par levels alongside a realistic restocking schedule and regular stock reconciliation. When discussing a new machine, ask for capacity with your actual product mix so the proposed service plan can be tested before equipment is ordered.