Public technical portfolio repository for a meal-ordering and operations platform focused on daily menu management, customer orders, kitchen dispatch, balance tracking, finance workflows, and administrative control.
This is a sanitized public showcase repository. It does not include production source code, credentials, private deployment details, customer data, personal data, database exports, or internal-only assets.
Menu To Go represents the architecture and operating model of a service platform used to coordinate recurring meal operations. The product consolidates daily menu setup, order registration, kitchen-facing preparation flows, customer balance visibility, finance controls, and administrative reporting into a single operational system.
This repository is designed to communicate technical judgment, product structure, delivery maturity, and future automation potential without publishing the private production implementation.
Meal operations for schools, offices, and similar recurring service environments often rely on a patchwork of messages, spreadsheets, ad hoc validations, and manual reconciliation. That operating model creates predictable friction:
| Operational challenge | Typical consequence |
|---|---|
| Orders arrive through multiple channels | Missed requests, duplication, and slower consolidation |
| Daily menu options change frequently | Manual validation and avoidable data-entry mistakes |
| Kitchen and dispatch teams need a single source of truth | Rework in preparation, packing, and handoff |
| Customer balances and payments are tracked separately | Weak reconciliation and reduced financial visibility |
| Admin reporting is assembled manually | Low auditability and delayed decision-making |
The platform is organized around a practical operational loop:
- Configure the menu and service-day context.
- Register and validate customer orders.
- Prepare kitchen and dispatch-ready operational views.
- Reflect charges, payments, and expenses in a finance ledger model.
- Review dashboards, account state, and operational reporting.
- Surface automation opportunities for follow-up, anomaly detection, and summaries.
| Module | Purpose |
|---|---|
| Daily Ordering | Supports service-day setup, order intake, and operational validation |
| Menu Management | Defines the menu context and available options for each service date |
| Kitchen and Dispatch | Produces consolidated preparation and delivery-oriented views |
| Customer Accounts | Tracks customer balance state and account history conceptually |
| Finance Ledger | Captures payments, charges, expenses, and reporting inputs |
| CRM and Admin Control | Manages customer records, operator workflows, and administrative visibility |
| Reporting and Oversight | Summarizes order activity, finance status, and operational exceptions |
The private system context behind this showcase uses a React/Vite frontend and a Supabase/PostgreSQL backend with role-aware access, database-side controls, and operational workflows across orders, customer balances, finance records, and reporting.
At a conceptual level:
- The frontend provides operator-facing workflows for daily execution.
- Supabase services support authentication, application data, and secured queries.
- PostgreSQL stores operational and finance entities.
- Row Level Security and role-aware access policies help constrain visibility.
- Reporting and automation layers can extend the system without exposing core transactional data publicly.
See Architecture and System Diagram.
This repository intentionally excludes:
- Production application source code
- Secrets, tokens, API keys, or credentials
- Private environment values or deployment endpoints
- Customer records, phone numbers, addresses, or personal data
- Database dumps, exact production schema, or internal migrations
- Internal-only assets, client-specific files, or confidential reports
The goal is to present system thinking and delivery quality, not to mirror the private implementation.
The showcase centers on the workflows that matter most in daily operations:
- Menu configuration for a service day
- Order registration and validation
- Kitchen preparation and dispatch coordination
- Customer balance updates through ledger-aware events
- Admin review of activity, exceptions, and reporting
- Identification of automation opportunities for summaries, alerts, and intake support
| Layer | Technology / Direction |
|---|---|
| Frontend | React, TypeScript, Vite |
| Data platform | Supabase, PostgreSQL |
| Auth and access | Supabase Auth, role-aware access, Row Level Security |
| Operations model | Order management, dispatch views, customer account tracking, finance ledger |
| Reporting direction | Admin dashboards, operational summaries, exception review |
| Automation direction | AI-assisted reporting, anomaly detection, messaging intake, agentic workflows |
This portfolio project demonstrates how a service operation can move from fragmented coordination to a more controlled system of record. The value is primarily operational:
- Better traceability from order intake to dispatch
- Cleaner visibility into account state and finance events
- Reduced dependence on manual reconciliation
- Stronger separation between operator workflows and administrative controls
- A foundation for future automation and service operations tooling
- System Architecture Mermaid Source
- Operational Workflow Mermaid Source
- Finance Ledger Flow Mermaid Source
This repository is intended for technical portfolio review, architecture discussion, delivery scoping, and product/operations walkthroughs. It is not a public release of the private production application.