Restaurant Operations Intelligence
We developed a SaaS platform to centralize sales, accounting, and inventory data, providing a single source of truth for hospitality operators.
Technologies used:
12 Dec 2025
Australia
The Vision & Challenge
The hospitality industry operates on thin margins where success depends on precise control over costs and revenue. Most restaurants and bars rely on a disconnected set of tools for daily operations, creating data silos that obscure the true financial health of the business.
The founding team of this B2B SaaS platform identified this fundamental friction. A manager might use one system for point-of-sale, another for accounting, and manual spreadsheets for inventory. This fragmentation makes it nearly impossible to see the direct financial impact of an operational choice, such as changing a supplier or adjusting a menu price.
They engaged Robust Devs to build the central intelligence layer that would solve this problem. Our work involved architecting a system that could ingest, normalize, and analyze data from multiple sources, turning raw information into clear financial insights and actionable directives.
Project challenges
- The primary challenge was ingesting and normalizing data from inconsistent sources, including modern APIs, legacy POS systems, and unstructured supplier invoices.
- A significant hurdle was reconciling product names across disparate systems. An item listed as 'Coke' in the POS could be 'Coca-Cola 330ml Can 24pk' on a supplier invoice, preventing accurate inventory analysis.
- Beyond data aggregation, the system needed to translate raw numbers into specific, actionable tasks for staff, linking operational anomalies directly to their financial consequences.
Solutions
- We engineered a multi-source data aggregation pipeline using PHP and Laravel. The system processes information from third-party APIs, POS terminals, and CSV uploads, applying validation and normalization rules to create a unified dataset.
- To solve the product reconciliation issue, we developed a global product mapping engine. This system allows operators to link various supplier and POS item descriptions to a single master product, ensuring accurate, consolidated inventory and cost-of-goods tracking.
- We built an automated task generation engine. This module monitors key metrics and uses predefined rules to create operational tasks when anomalies are detected, such as a drop in a menu item's margin, and quantifies the potential financial gain of addressing it.
Technologies used
We are concerned about the security and performance of our customers. That's why we always keep updating and use best technologies in our products
Front-end
ReactJS
JavaScript
HTML5
CSS3
Back-end
PHP
Laravel
DevOps
Linux
Docker
Github CI
Database
MySQL
Central Product Catalog
The platform’s central catalog allows a business to map countless product name variations from different suppliers and point-of-sale systems to a single, authoritative item. This creates a definitive record for each product, enabling precise tracking of stock levels, accurate cost-of-goods calculations, and clear insight into waste and profitability per item.
Data-Driven Task Automation
Instead of simply presenting data, the platform actively monitors performance against set targets and industry benchmarks. When a metric deviates-such as labor costs rising above a certain threshold-the system automatically generates a task for the relevant manager, outlining the issue and its calculated financial impact. This connects data directly to action.