Loop is a comprehensive SaaS platform designed to empower restaurant and store owners with a fully integrated ecosystem. It offers a suite of applications, including a Merchant App, Store App, and Driver App, enabling seamless management of businesses, storefronts, and delivery operations. The platform aims to enhance the customer ordering experience and facilitate efficient order delivery through a dedicated driver app. Additionally, Loop provides features such as unlimited product listings, automatic catalogs for sponsored ads, advanced marketing tracking compliant with  QR payment links, QR menus, and robust stock management tools.

The nAia AI Fashion Tech Platform aims to revolutionize how users discover, visualize, and shop fashion online by merging artificial intelligence, 3D garment visualization, and e-commerce into one immersive ecosystem.

The MVP (Phase 1) focuses on building a scalable web platform that enables users to:

1. Create personalized 3D avatars
2. Virtually try on garments in real-time
3. Receive AI-powered styling recommendations
4. Shop seamlessly via Shopify Headless Checkout

The ultimate goal is to deliver a personalized, data-driven, and sustainable digital fashion experience, empowering both users and designers. By leveraging AI styling intelligence, 3D visualization, and real-time engagement analytics, nAia bridges the gap between fashion creativity and cutting-edge technology positioning itself as the future of virtual fashion retail.

This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.