/ Project Category

Franchise ERP

/ Scope

Multi-Outlet India

/ Role

Full Stack Developer

/ Tech Stack
React, Next.js, Node.js, Express, MongoDB, Tailwind CSS, REST APIs
/ Workflow Tools
VS Code, Codex, Antigravity, GitHub Copilot
Development Stage
Under Active Dev

Mobile Franchise ERP

Multi-Outlet Inventory & Device Repair Tracking Hub

Mobile Franchise ERP Macbook Mockup

Project Overview

engineered as a robust web application for a franchise owner managing a vast network of mobile shop outlets across india. the portal delivers a unified management pipeline—combining centralized stock metrics, remote store controls, automatic client ticket credentials, secure tracking, and database slip analytics.

⚠️ Confidential Enterprise System

This software is under active development. Due to confidentiality agreements and security constraints, no public preview link or repository code access is available.

System Features

Centralized Stock tracking

owner portal allows real-time visibility into consolidated items. individual outlets can authenticate and add stocks independently, displaying instant dashboard reflections.

Automated Ticket Credentials

when a customer logs a phone repair request, the system auto-generates secure client login credentials (username and password) to prevent user-overhead.

Isolated Client Tracking

using strict authorization checks, customers log in to track their specific phone repair update timeline, completely isolating other corporate data.

Payment Slip Generator

completed repairs produce a download-ready billing slip with a unique slip code, immediately synchronized and stored in the database.

Slip Search & Filter

outlet managers and owners can filter database slips (daily, weekly, monthly views) or perform global queries via specific unique slip numbers.

Franchise Outlet Manager

owner dashboards include options to register new outlets, update store settings, and change branch login details with secure backend hashes.

Database & API Architecture

built with a normalized database schema in MongoDB to prevent records duplication. outlets, repairs, customers, and slips are structured into isolated collections bound by strict validation pipelines. a dedicated REST API layer handles data transmission, ensuring that authentication is verified on every request. customer-facing pages load lightweight, single-record queries based on active session tokens, safeguarding administrative stock metrics and slip reports from general client view.

Development Workflow

this application is actively developed under a fast-paced vibe coding process combined with rigorous manual styling. AI code-agents like Antigravity, Codex, and GitHub Copilot are used inside VS Code to scaffold controllers, schema pipelines, and mock interfaces. manual code refinement focuses on optimizing query processing, security tokens, slip downloading libraries, and responsive mobile-first UI grids.