CASE STUDY LAUNCH_01

Mauli Traders

Next-Gen Architecture Hardware Management Platform

Django Python Tailwind CSS SQLite AJAX

The Challenge

Building material stores face intense supply-chain, price fluctuation, and customer order coordination bottlenecks. Existing local store inventories are managed via offline paper bills leading to sales leakage.

The Solutions & Architecture

Built a high-performance Django portal coupled with a customer-facing interactive catalog. Customers can analyze market pricing in real-time, view live inventory differences, and place multi-step customized orders.

Software Requirements Specification (SRS)

### 1. Introduction #### 1.1 Purpose This document specifies the software requirements for the Mauli Traders Management Platform. #### 1.2 Scope Provides inventory tracking, real-time pricing analysis, live supply-chain ledger updates, and automated customer order logging. ### 2. System Description #### 2.1 Product Perspective Web-based portal integrating backend database structures with a dynamic client-facing storefront. #### 2.2 Operating Environment - Operating System: Linux/Windows/Mac compatibility. - DB: SQLite/PostgreSQL. - Hosting: Vercel/Render. ### 3. Functional Requirements - **FR1 (Catalog Navigation)**: Real-time search and filtering of catalog items. - **FR2 (Order System)**: Add items to cart and check out. - **FR3 (Supply-Chain tracking)**: Automated price calculation based on raw material fluctuations. ### 4. Non-Functional Requirements - **NFR1 (Performance)**: Page loads under 2 seconds. - **NFR2 (Security)**: Secure order processing, CSRF protection, and SQL injection prevention.

Metrics Impact

Performance Shift

Reduces pricing errors by 98% and increases customer engagement through the smooth online order flow, helping the local hardware business scale dynamically.

Launch Profile

Status: PRODUCTION
Deploy Node: Vercel Ready
Category: Full-Stack Django

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