/ CASE STUDY • #008
Invoyes
Smart business management for restaurants and retail
/ HERO
Invoyes
Smart business management for restaurants and retail
CLIENT
Invoyes (product)
ROLE
Lead full-stack developer — POS engine, multi-store data model, billing, analytics dashboards.
DURATION
8 months
YEAR
2026
/ OVERVIEW
Built a multi-tenant SaaS that lets restaurant and retail owners run their entire shop from one place — point of sale, invoicing, inventory, suppliers, staff and live analytics. Pricing is plan-based with a 7-day free trial and the system scales from a single counter to a chain of stores.
The challenge
Existing POS tools either targeted enterprise chains or were brittle single-shop tools. We needed a system that felt native to a small restaurant on day one but could grow into a multi-store, multi-staff operation without rewriting any of the data model.
How I approached it
- →Architecture: Designed a tenant-per-organization schema in PostgreSQL with store-scoped rows so a single account can spin up multiple branches without data leakage.
- →POS engine: Built on Laravel with a Next.js front-end — order, payment, refund and inventory reservations are wrapped in transactional service classes to keep stock truthful under concurrency.
- →Offline invoicing: Shipped offline-tolerant invoicing with optimistic UI so cashiers never wait on the network during peak hours; conflicts reconcile on reconnect.
- →Analytics layer: Created materialised views for daily/weekly/monthly summaries to keep dashboards fast even for chains with high transaction volume.
/ OUTCOME
What it did in the world
Full Featured
All the features ready from day 0 of launching — POS, invoicing, inventory, table management and printed/emailed invoices in one flow.
Cross Platform
Android, iOS, desktop, web applications are available — the whole dashboard is accessible from any device.
100% Mobile Responsive
The whole dashboard is fully mobile responsive — cashiers and owners manage everything from their phones.
Validated core product fit for restaurants and retail.
Average checkout time, stock variance, invoice generation time, and online ordering conversion all validated.
/ STACK
Built with
FRONTEND
- Next.js
- React
- TailwindCSS
- ShadCN/UI
- TanStack Query
BACKEND
- Laravel
- PHP 8
- PostgreSQL
- Redis
TESTING
- Playwright
- Jest
- PHPUnit
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