Dobijte procjenu vrha za oko 30 sekundi
Kalkulator zaposlenosti u maloprodaji (posjetitelji i vrijeme usluge)
Procijenite potreban broj zaposlenih za vršna razdoblja na temelju broja posjetitelja i prosječnog vremena usluge. Koristite ga za brzu provjeru rasporeda na blagajni ili kao prvi nacrt planiranja smjena.
Ovo je praktična procjena opterećenja, a ne strogi model teorije redova. Prilagodite iskorištenost i rezervni postotak stvarnosti vašeg prodajnog prostora.
Unosi, URL-ovi za dijeljenje i CSV generiranje ostaju u pregledniku. Ništa se ne šalje na poslužitelj.
Vidite pretpostavke iza brojke
Lako prilagodite iskorištenost i rezervu
Dijelite putem URL-a, CSV-a ili ispisa
Kako koristiti
- Start in Peak only mode and enter visitor volume plus average service time.
- Switch to By time slot when you want a shift-ready view in 30-minute or 60-minute blocks.
- Open Settings to adjust utilization, buffer, role ratios, and small-store behavior.
- Share the result by URL, CSV, or print, then restore the same inputs next time.
Krenite s vršnom procjenom za 30 sekundi
Najkraći put su broj posjetitelja, prosječno vrijeme usluge i predložak iskorištenosti.
Standardna iskorištenost od 75% uz +10% rezerve daje siguran početni okvir.
Ako znate samo dnevne transakcije, savjet u liniji pokazuje kako ih pretvoriti u upotrebljivu procjenu.
Planiranje po vremenskim intervalima za izradu smjena
Birajte retke od 30 ili 60 minuta kako bi odgovarali načinu planiranja poda.
Zalijepite iz proračunske tablice, a zatim po potrebi dodajte ili uklonite retke.
Na jednom zaslonu vidite preporučeni broj zaposlenih, minute opterećenja i vršnu vremensku točku.
Upozorenje na skok ističe nagle promjene koje mogu zahtijevati pomoćno osoblje ili rad unaprijed.
Opcije: iskorištenost, rezerva i omjeri uloga
Koristite Stabilno 65%, Standardno 75% ili Učinkovito 85% kao brze predloške.
Rezervni postotak tretirajte kao pokriće za stanke, izostanke, prekide i trošak obuke.
Omogućite omjere uloga kada želite grubu podjelu na blagajnu, prodajni prostor i zalihe.
Način za male trgovine mijenja izlaz iz dodijeljenih uloga u multitasking pokrivenost.
Rezultati: preporuka i upozorenja na vrh
See peak recommended staff, the peak slot, and the assumptions in one summary line.
Use the chart and table as a working draft for shift coverage.
Warnings appear for very high utilization and sudden staffing jumps between slots.
Use share URL, CSV, and print to circulate the estimate quickly.
Rječnik
Iskorištenost
The share of each slot that one person can realistically spend on active service work. Too high, and waiting or congestion becomes more likely.
Rezervni postotak
An extra percentage added for breaks, absences, interruptions, or less experienced staff.
Opterećenje rada
Total work minutes calculated from visitor count multiplied by average service time.
Način izračuna
- Workload = visitor count × average service time
- Required staff = workload ÷ (slot length × utilization)
- Recommended staff = required staff × (1 + buffer rate), then rounded
Česta pitanja
I do not know the visitor count.
Use receipt count, transaction count, or POS order count as a proxy. If you only have a daily figure, divide it by opening hours to get an hourly average, then test a peak at roughly 1.3 to 2.0 times that average.
How should I account for breaks or absences?
Add them through the buffer rate. Use a higher value on promotion days, during uncertain weather, or when the team has many newer staff.
Can I use this for a very small store?
Yes. Small-store mode keeps a minimum of one person and changes role output from dedicated headcount to multitasking coverage.
What utilization target should I use?
Around 75% is a strong default. For steadier service, stay around 65 to 75%. Even in efficiency-focused setups, going past 85% usually increases waiting and operational friction.
How should I measure average service time?
Time about 10 cases and use the average. For checkout, measure from the start of payment to the end of the transaction. For assisted sales, use a clear start-to-completion definition that your team can repeat.
Obavijest
- This tool is a practical workload estimate, not a strict queueing-theory solver.
- Real waiting time can still increase because of demand variability, simultaneous arrivals, task interruptions, or staff experience level.
- Final decisions should still reflect your store layout, number of checkout lanes, merchandise mix, and local labor rules.