Restaurant Management Platform

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source restaurant operations platform unifying POS, table management, reservations, kitchen display, and reporting.

The Restaurant Management Platform is a full-stack restaurant operations system for independent operators, multi-location chains, ghost kitchens, and high-volume venues. It combines secure point-of-sale, kitchen display, inventory, labour, and guest management in a single open platform — replacing fragmented point solutions and proprietary hardware ecosystems with an AI-driven, standards-compliant alternative.

Why Restaurant Management Platform?

Incumbents like Toast and TouchBistro impose hardware lock-in to proprietary devices and ecosystems, raising switching costs for restaurants.
Clover requires a 36-month contract, creating long-term commitment risk for operators.
Aloha / NCR Voyix has a legacy architecture that is complex to implement and slow compared to cloud-native platforms.
Pricing on platforms like Lightspeed scales up quickly for multi-unit operators, and payment processing fees of 1.5–3.5% per transaction represent the largest ongoing cost for most restaurants.
All major incumbents are proprietary closed platforms with no open-source components, leaving no credible open alternative for an industry projected to reach USD 17.58 billion in POS software alone by 2030.
Across the board, AI capabilities (menu engineering, dynamic pricing, predictive waste reduction, kitchen throughput optimisation) are either absent or shallow — despite 2026 being widely described as the pivotal year for AI-driven restaurant operations.

Key Features

Point-of-Sale and Kitchen Operations

Unified POS handling dine-in, takeout, delivery, and online orders with real-time kitchen routing
Kitchen Display System with order routing, ticket management, course sequencing, and fire timing
Tableside ordering and payment processing on mobile and tablet devices
Offline capability with graceful degradation and sync on reconnect
PCI DSS compliant payment processing and tokenisation

Table, Menu, and Inventory Management

Drag-and-drop floor plans with colour-coded table status and live multi-device sync
Menu and item management with customisable pricing and real-time stock alerts
Real-time inventory tracking at location level with ingredient usage reporting
Multi-location centralised control and synchronisation
Reservation system with two-way SMS/email guest communication and estimated wait times

Labour, Reporting, and Guest Engagement

Employee timekeeping, scheduling, and labour cost tracking
Sales reporting and daily reconciliation dashboards
Menu profitability, server performance, and guest satisfaction analytics
Loyalty program with CRM integration for segmentation and personalised promotions
Integrations with third-party delivery platforms (Uber Eats, DoorDash, Grubhub)

Ghost Kitchens and Multi-Brand

Ghost kitchen / multi-brand management for virtual concepts operating from shared kitchens
Per-location customisation of menus and settings managed remotely
Commission-free first-party online ordering as an alternative to third-party app fees

AI-Native Advantage

AI is built into the platform rather than bolted on. The system supports AI-driven menu engineering that surfaces high-margin underperforming items, predictive inventory forecasting that incorporates reservations, weather, and local events to reduce waste and prevent stockouts, kitchen throughput optimisation that dynamically sequences tickets to stations, intelligent labour scheduling that minimises cost while maintaining service standards, and guest sentiment AI that aggregates review data, reservation notes, and visit history to personalise service and flag VIP preferences.

Tech Stack & Deployment

The platform is designed for cloud-native and hybrid deployment with offline-capable mobile/tablet clients. It targets compliance with PCI DSS for payments, EMV for card-present transactions, GDPR/CCPA for guest data, and food-safety frameworks including FSMA and HACCP. Reservation interoperability follows OpenTable / Resy API conventions. The architecture aims to avoid proprietary hardware lock-in, working with standard tablets and payment terminals.

Market Context

The restaurant POS software market is projected to reach USD 17.58 billion by 2030 at roughly 7.0% CAGR, with the broader restaurant management software market larger still and the ghost kitchen segment alone growing from USD 97.20 billion in 2025 to USD 204.33 billion by 2030 at 16% CAGR. Incumbent pricing clusters around USD 49–135/month per location plus USD 1,000–4,000 in hardware, with payment processing fees of 1.5–3.5% per transaction. Primary buyers are independent operators selecting a first or replacement POS, multi-location chain operations directors standardising technology, ghost kitchen operators, and food-and-beverage managers at hotels, stadiums, and event venues.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.