
Supermarket & Internet Cafe Simulator
SmartPlayGames · 2024-09-13
Modes: Single player
Releases: Sep 13, 2024 (PC (Microsoft Windows))
"Internet Cafe & Supermarket Simulator 2024" is a comprehensive simulation game that combines the management of both an internet cafe and a supermarket. Step into the role of a shop owner, apply your business acumen, and expand your empire step by step.
Supermarket & Internet Cafe Simulator is a Casual, Indie, RPG and Simulation game released in 2024, priced at $8.24, with a Mostly Positive review sentiment (79% of 922 reviews) and an estimated owner base of 50,000 .. 100,000.
7 players in-game as of 2026-10-14 17:00 UTC (census sample)
Health check
- · 7 players in-game at the last census sample.
- · 44 reviews in the last 8 weeks (~6/week).
- · Review velocity down 23% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (172 reviews).
- · Top 9% of 29,056 Casual games in the census by review count.
Health tier since 2026-08-31
Review-multiple estimate from 922 total reviews — how this is computed.
Review momentum
Players online
Completion
- · 86% of players earned First Customer Frenzy
- · 25.1% of players earned City's Calling Card
- · 0.4% of players earned Worldwide Welcome
Global achievement rates from Steam.
Details
26 supported languages: English, French, Italian, German, Russian, Turkish, Japanese, Polish, Simplified Chinese, Traditional Chinese, Korean, Spanish - Spain…
Player tags
3DRPGIndieCasualModernEconomyPhysicsBuildingLife SimManagement
Census log
- 2024-05-01First review activity on record (week of 2024-05-01).
- 2024-06-01Biggest review week on record: 172 reviews (week of 2024-06-01).
- 2026-09-06Highest concurrent player count the census has recorded: 25 (2026-09-06).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Star Control®: OriginsSupreme Ruler UltimateSurvivalistAnother Brick in The MallWeapon Shop FantasyBronze Age - HD EditionDawn of ManCHANGE: A Homeless Survival Experience
Similarity via IGDB.