This platform is an AI-driven web application that connects customers, staff, and suppliers for managing interior furniture and building materials. Customers can browse products, place orders, submit quotation requests that are priced using an AI estimation service, and receive personalized recommendations to fit their budget. Staff manage inventory, orders, and quotes through a central dashboard, while suppliers see demand forecasts generated from sales history. The system automates stock forecasting, order confirmations, and notifications, so the whole sales-to-warehouse workflow runs digitally instead of on spreadsheets. Built with React and TypeScript on the frontend, Node.js and Prisma on the backend, and a Python AI microservice for quotations and stock forecasting.

• Problem Solved: Replaced fragmented spreadsheets with an automated sales-to-warehouse ecosystem connecting customers, administrative staff, and third-party suppliers.
• Core Architecture: Engineered a responsive frontend using React and TypeScript, a robust backend leveraging Node.js and Prisma ORM, and dedicated data-modelling pipelines.
• AI Features: Developed a standalone Python AI microservice that manages automated budget-aligned stock forecasting and dynamically handles complex quotation estimations based on historical data patterns.
• Business Logic: Integrated central dashboards for real-time inventory management, order execution, demand forecasting, and instant client confirmations.