Instant Dress Tracker: A Real-Time Location-Based Inventory Management System

The development of local fashion markets has in-creased the demand for efficient dress inventory visibility and

intelligent product search. The traditional shopping system based on boutiques does not provide real-time visibility, and

customers have to visit multiple boutiques physically to know the status of the products. This paper presents the Instant

Dress Tracker, which is a web-based system designed to provide real-time dress inventory visibility in local boutiques. Customers

can search and filter dresses based on parameters such as size, color, type, and location, and also enable boutique owners to

update the inventory dynamically. The proposed system is designed using the latest web technologies such as React with

TypeScript for the frontend and Supabase with PostgreSQL for backend services and real-time data synchronization. The latest

fuzzy search algorithms and real-time database subscriptions enable accurate and updated inventory data. In addition,

geographic integration with map services enables users to locate nearby boutiques and optimize shopping routes. The system

enhances customer experience by minimizing time and effort in dress discovery and also provides an opportunity for sales to

boutique owners. The experimental setup in a tier-2 city scenario proves the feasibility, scalability, and efficacy of the proposed

solution. The Instant Dress Tracker fills the gap between the conventional fashion environment and the online world, providing

a scalable solution for the modernization of the fashion environment