Title: Happy Hour – AI-Powered Restaurant Operations Platform

Short description (one-liner): An all-in-one Laravel + React platform that helps restaurant managers control costs, inventory, staff, and sales, with AI that reads supplier invoices and surfaces savings.

Project description:

Restaurant managers often juggle spreadsheets, paper invoices, and separate tools for stock, staff, and sales, which makes it hard to know what each dish really costs. Happy Hour brings all of it into a single web application built for hospitality businesses.

The standout feature is AI-powered invoice capture. Managers upload a PDF or photo of a supplier invoice, and the system extracts the supplier, line items, pack sizes, GST, and totals, matches the supplier by ABN, and updates ingredient prices automatically. Every extraction is validated and flagged for review when something doesn't add up, so the AI never silently invents numbers.

Those ingredient prices flow directly into recipe costing. Each recipe shows its live cost, margin, and how many portions can be produced from current stock, including which ingredient is the limiting factor. Managers can also generate recipe drafts with AI and review them before anything is saved.

Inventory runs on a perpetual stock ledger covering waste, comps, corrections, and blind physical stocktakes with variance review. Daily sales from Z reports are reconciled against recipes to deplete stock and reveal shrinkage and yield drift.

Beyond back-of-house, the platform includes a POS terminal, cash drawer management, a Kitchen Display System, staff rosters, a public time clock, expense tracking with P&L reporting, and an AI insights engine that ranks cost-saving opportunities across suppliers, recipes, and sales. The AI layer supports multiple providers, including OpenAI, Anthropic Claude, and Google Gemini, configurable from the settings page.

Key features: AI invoice extraction and supplier matching · Live recipe costing and margins · Perpetual inventory and stocktakes · Sales reconciliation from Z reports · POS, cash drawer, and Kitchen Display System · Staff rosters and time clock · Expenses and P&L · AI-generated cost-saving insights

Tech stack (full): Laravel 12, PHP 8.3, React 19, React Router, Vite, Recharts, Framer Motion, Laravel Sanctum, PostgreSQL, OpenAI, Anthropic Claude, Google Gemini, REST APIs, PHPUnit

Three stacks: Laravel · React · PostgreSQL

Here is two concept designs for a visual website proposal for a local farmer in Canada Abbotsford

I've done Research regarding what type of style would work and aesthetic to convey his message with his fellow communities and Canadians

What are your thoughts on this concept design ??? would love to hear them.

Option 1 wins it for me, the portrait of the farmer right up top makes it feel like a real person's business instead of a template. Curious what the farmer himself said when he saw both?