[NOWA AKTUALIZACJA!] SunnyMart Zakupy 🛒🏬

A Roblox experience owned by SunnyMart Shopping Official Group.

RoleplayPLshoppingjob simulationmanagement

Description (written by the developer; not a statement by this register)

Witamy w SunnyMart! Nowa aktualizacja! SunnyBanking ! New Board For Emplyone ! ============================= Ładna Atmosfera😊🎉 Najlepsi Pracownicy🛒🧑 ========================================= Budynek: Java Self Check-Outs, ręczne Check-Outs - JSM System Drzwi: Whitehill Group CafePos i system recenzji: easyPos Wokół: Drs System Alarmowy Pożaru: Vela. EasyPos: ekspresowy system kawiarni, system treningu na stole, cafepos, produkty, system darowizn, easylink, nametags Emerson: ArgoBoard Tagi: JSM, Self Checkouts, Prime, Arnoldia, Prime, Java, easyPos, DRS, Vocovo, System Alarmowy Pożarowy, Vela

Last updated by the developer 5 Jul 2026, 18:20 UTC.

playing (measured 20 Aug 2026, 11:32 UTC)

1,723

lifetime visits

81%

liked (13 👍 / 3 👎)

favourites (4.6 per 1k visits)

13 October 2024

created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)	Players	Change
20 Aug 2026, 11:32	0	first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Coming Soon...

450 R$

Segway

50 R$

Scan&Go

40 R$

Rainbow NameTag

35 R$

Selfie Stick

25 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

soon....0 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.