Last Orders

Last Orders is a 3D bar simulation game where you must mix drinks to satisfy customers. Earn money and reputation to pay rent and upgrade your bar to become the best. 


In Last Orders, you must remember recipes and mix drinks before time runs out. This is accomplished through simple interactions to pick ingredients and add them to the drink. Some steps require mixing in the form of stirring or shaking. Make sure to make the drink as accurately and quickly as possible to earn more tips and gain reputation. Reputation can make customers more agreeable with giving larger tips and giving you longer to complete their order. Purchase upgrades to make this even more effective. Manage multiple orders, avoid mistakes, and keep up as the pace escalates.


How to play

Playing Last Orders only requires mouse input. Select an order ticket to complete. Click on ingredients to select them and add them to the cup. When a drink is complete submit it to remove the order. Avoid mistakes to maintain reputation and gain maximum money.


Features

  • Fast-paced decision making
  • Score-based gameplay
  • Increasing difficulty
  • Dynamic order system

Development

Produced by JMH games as part of University of Plymouth coursework.

Tools used: Unity, Blender, Audacity

Focus: creating engaging, high-pressure gameplay through simple mechanics and escalating difficulty.


Known issues/ limitations

  • Some UI elements may not scale perfectly
  • Limited number of drink variations
  • Audio balancing still in progress


Credits

Audio

Background Music

Background Bar Chatter

Bottle Pickup Sound

Ticket Fail Sound

Ticket Creation Sound

Drink Restart Sound

Visual Assets

Lemon Slice Icon

Ice Cubes Illustration

Mint Leaves Illustration

3D Assets

Spoon Model

Environment Assets

  • “Fries and Seagulls – Bar/Interior” (Unity Asset Store)
    License: Unity Asset Store License


Updated 6 days ago
Published 11 days ago
StatusIn development
PlatformsHTML5, Windows
AuthorJAndrews004
GenreSimulation
Made withUnity
ContentNo generative AI was used

Download

Download
Build.zip 38 MB

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