Back case study AIMFS A full-stack restaurant operations platform automating inventory tracking, production management, POS transactions, demand forecasting, and supplier management for Lauan Restaurant.
Project AIMFS – Inventory Monitoring & Forecasting Tech Stack
Laravel 12 Inertia.js React 19 Tailwind CSS 4 shadcn/ui Recharts
Problem Inventory was tracked manually — stock discrepancies, spoilage, and over-ordering were constant problems. No POS system meant sales were recorded on paper, making financial reporting slow and error-prone. Recipe costing and production batch tracking were disconnected from inventory, causing inaccurate material deductions. Demand forecasting relied on guesswork — the kitchen had no data-driven way to predict ingredient needs. Supplier management was handled informally, leading to missed purchase orders and supply gaps.
Solution Built a real-time inventory module with automated stock deductions on production and POS transactions. Developed a full POS system with receipt printing, void workflows, and daily sales summaries. Linked recipe costing directly to production batches — every batch automatically deducts exact ingredient quantities. Implemented demand forecasting using historical sales data to project future ingredient needs. Created a supplier management module with purchase order generation, delivery tracking, and reorder alerts.
Result 9+ Modules Built Inventory, POS, production, forecasting, suppliers, recipes, roles, SKUs, and CSV exports — all in one system.
0 Manual Stock Tracking Every transaction automatically updates inventory in real time — no manual counting required.
Data-Driven Forecasting Historical sales patterns drive ingredient demand predictions, reducing waste and stockouts.
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