Restaurant SaaS Platform
A unified operations platform for a 12-location restaurant chain eliminating data silos, cutting food waste by 35%, and recovering 36 hours of manager time every single day.
The Challenge
Four systems. Twelve locations. Zero unified visibility.
A confidential client in the food and beverage industry operated 12 restaurant locations across the country. Each location ran four completely separate software systems a POS system, an inventory tracker, an analytics platform, and a staff scheduling tool. None of them spoke to each other.
The consequence was severe: food waste was high because purchasing decisions were made on incomplete data. Regional managers spent an average of 3 hours every day manually reconciling reports from four different systems. Inventory was tracked in spreadsheets. Reordering was reactive, not proactive.
For a business operating at this scale, the operational drag was costing real money and getting worse as they considered expanding to additional locations.
Project Parameters
Industry: Food & Beverage Technology
Client: Confidential Multi-location restaurant chain
Timeline: 14 weeks, discovery to launch
Our Approach
Replace chaos with a single source of truth.
We began with a two-week discovery phase embedded with the client's operations and tech teams, mapping every data flow, integration point, and manual process. The goal wasn't to build software that looked like what they had. It was to rebuild the operational model entirely, with software as the backbone.
Rather than building a new system that ignored the existing POS hardware investment, we designed custom API adapters to integrate with their installed POS systems. This preserved their hardware investment while unlocking the data that had been trapped inside it.
The architecture centerd on a single PostgreSQL data warehouse, with Redis caching for real-time operations, and a React dashboard that unified every location's data into one view. Managers got a mobile app. Executives got a command-center analytics dashboard.
The Solution
Three engineering decisions that defined the outcome.
Real-Time Inventory Engine
Built a centralized inventory system that tracks stock levels across all 12 locations simultaneously. When stock falls below configurable thresholds, the platform automatically generates purchase orders and routes them for approval ending the reactive, spreadsheet-based purchasing cycle entirely.
Custom POS API Adapters
Rather than forcing a hardware replacement, we built custom API adapters that extract transaction data from the client's existing POS hardware in real time. Order data, product mix, and payment records all flow into the centralized platform automatically eliminating the need for manual export and import.
Unified Analytics Dashboard
A custom analytics engine surfaces revenue, labor cost, food cost percentage, and waste metrics per location and in aggregate all in one screen. Floor managers use a mobile companion app to handle shift handovers, log incidents, and monitor stock in real time from the floor, not from an office PC.
The Results
Measurable impact in the first quarter.
35%
Reduction in Food Waste
First quarter post-launch
36 hrs
Saved Per Day
3 hrs/manager × 12 locations
99.8%
Platform Uptime
Across all 12 locations
4 mo.
ROI Achieved
Full build cost recovered
Tech Stack
Every technology chosen for a reason performance, reliability, and the client's long-term ability to maintain and extend the platform without vendor lock-in.
Frontend
React · React Native (mobile) · Redux Toolkit · Recharts (analytics visualization)
Backend
Node.js · Express · REST API · WebSocket (real-time inventory updates) · Custom POS adapter layer
Data & Infrastructure
PostgreSQL · Redis · AWS EC2 · AWS RDS · CloudFront CDN · S3 · Auto Scaling Groups
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