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Dynamic Drink Market (DDM)

A real-time pricing engine that transforms a bar menu into a simulated stock market.


Overview

Dynamic Drink Market (DDM) is an open-source system that simulates a stock market using a bar's menu.

Instead of trading stocks, customers "trade" drinks — and prices fluctuate dynamically based on demand in real time.

The more a drink is ordered, the higher its price rises. Drinks with lower demand decrease in price, creating a dynamic and interactive experience.


Goals

  • Build a real-time dynamic pricing engine
  • Simulate supply & demand behavior
  • Create a gamified user experience
  • Design a scalable and modular system
  • Enable experimentation through open source

Core Features

  • Dynamic pricing based on demand
  • Time-based demand tracking
  • Market stabilization mechanisms
  • Real-time updates
  • Configurable system parameters

How It Works (High-Level)

  1. A customer orders a drink
  2. The system records the order
  3. Demand metrics are updated
  4. Prices are recalculated
  5. Updated prices are reflected in real time

Documentation

Technical documentation is available in the /docs directory:

Project Documents (/docs/project/)

Document Description Location
System Overview Problem, approach, system flow docs/project/system-overview.md
Pricing Engine Demand calculation, pricing formula docs/project/pricing-engine.md
Data Model Entities, relationships, data structures docs/project/data-model.md
Tech Stack Technology decisions, stack definition docs/project/tech-stack.md

Use Cases

  • Bars & restaurants
  • Coffee shops
  • Events & festivals
  • Interactive experiences
  • Educational simulations

Project Status

Concept / Early Development
🚧 Not yet implemented


Contributing

This project is currently in the ideation phase.
Ideas, feedback, and discussions are welcome.


License

MIT (planned)


Inspiration

Inspired by real-world "stock market bars" where drink prices fluctuate based on demand.


Author Notes

The core challenge of this project is achieving:

Controlled chaos

  • Too volatile → confusing
  • Too stable → boring

The goal is to find the perfect balance between both.


If you're reading this in the future: yes, this is still a great idea. Build it.

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A real-time pricing engine that transforms a bar menu into a simulated stock market.

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