Restro AI is an end-to-end management ecosystem designed for hospitality businesses, combining digital QR menu ordering, kitchen workflow automation, and predictive machine learning models. Built by NIST management and IT students, Restro AI helps restaurant owners forecast daily inventory needs, reduce food wastage by up to 30%, and optimize staffing schedules based on customer traffic patterns.
Problem Statement
- Local restaurants face high food inventory spoilage due to inaccurate demand forecasting.
- Traditional paper ordering creates bottlenecks during peak dining hours.
- Restaurant managers lack consolidated real-time financial and operational analytics.
Project Objectives
- Develop an AI demand forecasting engine for perishable inventory management.
- Implement contactless QR menu ordering integrated with a Kitchen Display System (KDS).
- Provide real-time revenue and sales analytics reports for restaurant owners.
Key Features
- Dynamic QR code digital menu & contactless order dispatch
- AI demand & inventory prediction engine powered by machine learning
- Kitchen Display System (KDS) real-time order queue management
- Automated financial, sales & staffing analytics reporting