Problem: Traditional restaurant ordering systems are slow, leading to longer wait times and lower customer satisfaction.
Outcome: Develop a smart digital ordering system using AI to automate recommendations and improve order processing.
Week 1-2: Market Research & System Requirements
Study existing ordering systems and customer pain points.
Define key features (AI-driven recommendations, mobile ordering).
Week 3-4: System Design & Development
Develop a web and mobile-based ordering interface.
Integrate menu database and customer profiles.
Week 5-6: AI-Powered Recommendation Engine
Implement AI-based food recommendations using past orders.
Test recommendation accuracy using customer feedback.
Week 7-8: Payment & Order Management System
Integrate payment gateway for digital transactions.
Implement real-time order tracking.
Week 9-10: System Testing & UI Optimization
Conduct usability testing for a seamless customer experience.
Optimize user interface based on feedback.
Week 11-12: Deployment & Business Strategy
Deploy the system in a pilot restaurant.
Develop a strategy for scaling and adoption.
