An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.

The client required a customizable LAN-based Restaurant POS system to streamline order processing, table management, billing, and inventory tracking. Due to internet connectivity limitations, the system needed to function entirely within a local network (LAN) while integrating hardware devices such as MSR Credit Card Reader, Kitchen Display System (KDS), Thermal Printers, and Receipt Printers.

The solution includes:

• A Desktop POS Application for restaurant operations, supporting table management, order processing, and payments.
• An Android App for waiters and chefs, enabling real-time order tracking and kitchen display.
• An Admin Interface for reporting, analytics, and inventory management.

An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.