Case Study
Custom Meal Prep Web Application
A production web application for managing meal selections, customer interactions and the operational workflow behind every order.
Challenge
The problem to solve.
- The business was taking orders through direct messages and tracking them by hand, which capped how many customers it could serve.
- Meal selections changed weekly, so any system had to handle a catalogue that was never static.
- Preparation and delivery had to be planned from the same order data the customer was ordering against, or the two would drift apart.
What We Built
The system, layer by layer.
A working platform rather than a set of screens: the interface, the logic beneath it and the data model underneath that.
Web application
A customer-facing application for browsing the weekly menu, selecting meals and placing orders.
Customer experience
Accounts, saved details, order history and repeat ordering, so returning customers order in a few steps.
Backend system
Order processing, business rules for cut-off times and availability, and the logic connecting orders to preparation.
Database
A schema modelling menus, cycles, orders and customers, with historical orders preserved as the menu changes.
Admin functionality
Menu management, order visibility and the operational view the team works from each cycle.
Integrations
Payment and customer notification flows connected to the order lifecycle.
Engineering Focus
The decisions that mattered.
Architecture
Menus were modelled as versioned cycles rather than an editable list, so changing next week's menu can never alter what a customer already ordered.
Performance
Menu and ordering pages were built to stay fast during the ordering window, when nearly all traffic arrives at once.
Security
Server-side validation and per-record authorisation, so no customer can read or modify another customer's order.
Scalability
Order volume growth is absorbed by the data model and hosting setup rather than requiring a rebuild.
Result
- A production-ready digital platform replacing manual order taking.
- One source of truth shared by customers, ordering and kitchen operations.
- Operational capacity that grows with order volume instead of with staff hours.
Technology
Capabilities applied
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