Projects how full each tank will be when the tanker arrives and tells you how much to order up to a safe-fill target — flagging tanks at risk of running dry as urgent.
Shift Tracker's order-suggestions panel forecasts each tank's expected sales until the tanker arrives (from a day-of-week × hour-of-day average of recent weeks), projects the level at arrival, and gives you the 'order this much now' number to reach a safe-fill target. Enter a tanker arrival date to plan multi-day / holiday orders, and spot run-dry risks instantly. It's an estimate / advisory — the final call is yours.
Request a demoRecommended litres to reach a safe fill for each tank, rounded up to tanker compartment sizes.
Projects sales until the tanker arrives from a day-of-week × hour-of-day average of recent weeks.
Flags tanks that may run out before the tanker arrives; shows the negative projected stock.
Enter a tanker arrival date-time; the multi-day / holiday order grows automatically.
A total recommended order per fuel type alongside the per-tank breakdown.
Stock and suggestions update together as sales arrive, refreshing in step with the tank panel.
For each tank: projected stock at arrival = current stock − expected sales until the tanker arrives. The recommended order is the litres needed to top that up to a safe-fill target (a fraction of capacity).
A day-of-week × hour-of-day average of recent weeks, so it reflects rush hours and the weekly rhythm. It's a statistical estimate, not a guarantee — accuracy improves as a new station accumulates data.
The further out the arrival, the more sales happen in that window. Entering the date grows the suggestion to cover all expected demand until then — ideal for holiday or multi-day closures.
Because the safe-fill target depends on capacity, the order amount isn't computed when capacity is unknown — but you still see the run-dry risk and the projected stock. Set the tank capacity and the suggestion appears automatically.
See the recommended order per tank and run-dry warnings on your own station's data.
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