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Sarvind1 edited this page Jun 14, 2025 · 1 revision

Technical Product Requirements Document (PRD) 1. Executive Summary

1.1 Project Objective

Develop a comprehensive procurement management system that streamlines purchase order management, inventory tracking, supplier relationships, and shipment monitoring for enterprise operations.

1.2 Key Success Metrics

  • Performance: API response times < 200ms for 95% of requests
  • Availability: 99.9% uptime SLA
  • Scalability: Support 10,000+ concurrent users
  • Data Integrity: 99.99% transaction accuracy

1.3 Business Impact

  • Reduce procurement cycle time by 40%
  • Improve inventory accuracy to 98%+
  • Streamline supplier communication and order tracking
  • Enable real-time visibility into procurement operations

2. System Overview

2.1 Core Capabilities

  • Procurement Management: End-to-end purchase order lifecycle
  • Inventory Control: Real-time stock tracking and automated reordering
  • Supplier Management: Comprehensive vendor relationship management
  • Shipment Tracking: Multi-carrier shipment visibility and logistics
  • Analytics & Reporting: Data-driven procurement insights

2.2 Target Users

  • Procurement Managers: Strategic purchasing decisions
  • Inventory Managers: Stock level monitoring and control
  • Finance Teams: Budget tracking and approval workflows
  • Operations Teams: Shipment and delivery coordination

3. Technical Architecture

3.1 System Architecture Overview

┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ Frontend │ │ Backend │ │ Database │ │ (React/TS) │◄──►│ (FastAPI) │◄──►│ (PostgreSQL) │ │ │ │ │ │ │ │ • React 18 │ │ • FastAPI │ │ • PostgreSQL 15 │ │ • TypeScript │ │ • SQLAlchemy │ │ • Redis Cache │ │ • Vite │ │ • Pydantic │ │ • MinIO (Files) │ │ • React Query │ │ • Celery │ │ │ │ • Tailwind CSS │ │ • WebSockets │ │ │ └─────────────────┘ └─────────────────┘ └─────────────────┘

3.2 Technology Stack

Backend Stack

  • Framework: FastAPI 0.104+ (Python 3.11+)
  • ORM: SQLAlchemy 2.0+ with asyncio support
  • Validation: Pydantic v2 for data serialization/validation
  • Task Queue: Celery with Redis broker
  • WebSocket: FastAPI WebSocket for real-time updates
  • Testing: pytest, pytest-asyncio, httpx

Frontend Stack

  • Framework: React 18 with TypeScript 5.0+
  • Build Tool: Vite 5.0+ for fast development builds
  • State Management: Zustand + React Query (TanStack Query)
  • UI Framework: Tailwind CSS + shadcn/ui components
  • Forms: React Hook Form + Zod validation
  • Testing: Vitest, React Testing Library

Database & Storage

  • Primary Database: PostgreSQL 15+ with pgvector extension
  • Caching: Redis 7.0+ for session and application caching
  • File Storage: MinIO (S3-compatible) for document storage
  • Search: PostgreSQL Full-Text Search with trigram indexing

Infrastructure

  • Containerization: Docker + Docker Compose
  • Orchestration: Kubernetes (production)
  • CI/CD: GitHub Actions
  • Monitoring: Prometheus + Grafana + Jaeger

3.3 Microservices Architecture (Future State)

┌──────────────┐ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ Auth │ │ Procurement │ │ Inventory │ │ Shipments │ │ Service │ │ Service │ │ Service │ │ Service │ └──────────────┘ └──────────────┘ └──────────────┘ └──────────────┘ │ │ │ │ └────────────────┼────────────────┼────────────────┘ │ │ ┌──────────────┐ ┌──────────────┐ │ Gateway │ │ Message │ │ Service │ │ Queue │ └──────────────┘ └──────────────┘

4. Core Modules & Features

4.1 Authentication & Authorization Module

Capabilities:

  • JWT-based authentication with refresh tokens
  • Role-based access control (RBAC) with granular permissions
  • Multi-factor authentication (MFA) support
  • SSO integration (SAML, OAuth2)
  • Session management and audit logging

User Roles:

  • Admin: Full system access and user management
  • Procurement Manager: Purchase order creation and approval
  • Inventory Manager: Stock management and reporting
  • Finance Approver: Budget and payment authorization
  • Viewer: Read-only access to assigned data

4.2 Products Management Module

Core Features:

  • Product catalog with hierarchical categories
  • SKU generation and barcode management
  • Product specifications and documentation
  • Supplier-product relationship mapping
  • Price history and cost analysis
  • Product lifecycle management

Technical Implementation:

  • Elasticsearch integration for advanced product search
  • Image upload and processing pipeline
  • Bulk import/export capabilities
  • Product data validation and enrichment

4.3 Inventory Management Module

Features:

  • Real-time stock level tracking
  • Multi-location inventory support
  • Automated reorder point calculations
  • Stock movement history and audit trails
  • Cycle counting and physical inventory reconciliation
  • Lot/batch tracking for compliance

Advanced Capabilities:

  • ABC analysis for inventory optimization
  • Demand forecasting using machine learning
  • Integration with warehouse management systems
  • Mobile app for inventory operations

4.4 Purchase Orders Module

Workflow Management:

  • Multi-step approval workflows
  • Budget validation and controls
  • Purchase requisition to PO conversion
  • Change order management
  • Contract and blanket PO support

Integration Features:

  • Email notifications and reminders
  • Supplier portal integration
  • ERP system synchronization
  • Electronic data interchange (EDI) support

4.5 Suppliers Management Module

Vendor Operations:

  • Supplier onboarding and qualification
  • Performance scorecards and KPI tracking
  • Contract and SLA management
  • Risk assessment and monitoring
  • Payment terms and invoice matching

Communication Tools:

  • Supplier portal for order collaboration
  • Document sharing and version control
  • Vendor performance feedback system
  • RFQ/RFP management

4.6 Shipments & Logistics Module

Tracking Capabilities:

  • Multi-carrier shipment tracking
  • Real-time delivery status updates
  • Proof of delivery management
  • Freight cost analysis and optimization
  • Route planning and optimization

Integration Points:

  • Major shipping carrier APIs (FedEx, UPS, DHL)
  • Customs and trade compliance
  • Warehouse dock scheduling
  • Exception management and alerts

5. API Specifications

5.1 API Design Principles

  • RESTful design with clear resource hierarchies
  • OpenAPI 3.0 specification with comprehensive documentation
  • Consistent error handling and status codes
  • API versioning strategy (URL path versioning)
  • Rate limiting and throttling mechanisms

5.2 Core API Endpoints

Authentication Endpoints

POST /api/v1/auth/login # User authentication POST /api/v1/auth/refresh # Token refresh POST /api/v1/auth/logout # User logout GET /api/v1/auth/me # Current user profile POST /api/v1/auth/forgot-password # Password reset

Products Endpoints

GET /api/v1/products # List products with filtering POST /api/v1/products # Create new product GET /api/v1/products/{id} # Get product details PUT /api/v1/products/{id} # Update product DELETE /api/v1/products/{id} # Soft delete product GET /api/v1/products/search # Advanced product search POST /api/v1/products/bulk # Bulk operations

Inventory Endpoints

GET /api/v1/inventory # List inventory items POST /api/v1/inventory/adjust # Stock adjustments GET /api/v1/inventory/movements # Stock movement history POST /api/v1/inventory/count # Physical count entry GET /api/v1/inventory/low-stock # Low stock alerts GET /api/v1/inventory/analytics # Inventory analytics

Purchase Orders Endpoints

GET /api/v1/purchase-orders # List purchase orders POST /api/v1/purchase-orders # Create purchase order GET /api/v1/purchase-orders/{id} # Get PO details PUT /api/v1/purchase-orders/{id} # Update purchase order POST /api/v1/purchase-orders/{id}/approve # Approve PO POST /api/v1/purchase-orders/{id}/cancel # Cancel PO GET /api/v1/purchase-orders/{id}/history # PO history

5.3 Data Models

Product Model

{ "id": "uuid", "sku": "string", "name": "string", "description": "string", "category_id": "uuid", "unit_of_measure": "string", "cost": "decimal", "price": "decimal", "specifications": "json", "status": "enum", "created_at": "datetime", "updated_at": "datetime" }

Purchase Order Model

{ "id": "uuid", "po_number": "string", "supplier_id": "uuid", "status": "enum", "order_date": "datetime", "delivery_date": "datetime", "total_amount": "decimal", "currency": "string", "items": "array", "approval_workflow": "json", "terms_and_conditions": "text" }

6. Database Design

6.1 Database Schema Overview

-- Core entity relationships Users ──── UserRoles ──── Roles ──── Permissions │ └── PurchaseOrders ──── POItems ──── Products │ │ │ └── Categories │ │ └── Suppliers └── Inventory │ └── Shipments ──── ShipmentItems

6.2 Key Database Tables

Products Table

CREATE TABLE products ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), sku VARCHAR(100) UNIQUE NOT NULL, name VARCHAR(500) NOT NULL, description TEXT, category_id UUID REFERENCES categories(id), unit_of_measure VARCHAR(50), cost DECIMAL(15,4), price DECIMAL(15,4), specifications JSONB, status product_status DEFAULT 'active', created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP );

-- Indexes for performance CREATE INDEX idx_products_sku ON products(sku); CREATE INDEX idx_products_category ON products(category_id); CREATE INDEX idx_products_status ON products(status); CREATE INDEX idx_products_name_gin ON products USING gin(to_tsvector('english', name));

Inventory Table

CREATE TABLE inventory ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), product_id UUID REFERENCES products(id), location_id UUID REFERENCES locations(id), quantity_on_hand INTEGER DEFAULT 0, quantity_reserved INTEGER DEFAULT 0, reorder_point INTEGER DEFAULT 0, reorder_quantity INTEGER DEFAULT 0, last_counted_at TIMESTAMP, last_movement_at TIMESTAMP, created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, UNIQUE(product_id, location_id) );

6.3 Performance Optimization

  • Partitioning: Time-based partitioning for audit logs and transactions
  • Indexing Strategy: Composite indexes on frequently queried columns
  • Connection Pooling: pgbouncer for connection management
  • Read Replicas: Separate read replicas for reporting queries

7. Security & Authentication

7.1 Authentication Strategy

  • JWT Tokens: Short-lived access tokens (15 minutes) + long-lived refresh tokens (7 days)
  • Token Storage: HttpOnly cookies for web, secure storage for mobile
  • MFA Support: TOTP-based two-factor authentication
  • Password Policy: Minimum 12 characters, complexity requirements

7.2 Authorization Framework

  1. Role-based permissions example class Permission(Enum): PRODUCTS_READ = "products:read" PRODUCTS_WRITE = "products:write" PO_CREATE = "purchase_orders:create" PO_APPROVE = "purchase_orders:approve" INVENTORY_ADJUST = "inventory:adjust"

class Role(Enum): ADMIN = [Permission.PRODUCTS_READ, Permission.PRODUCTS_WRITE, ...] PROCUREMENT_MANAGER = [Permission.PO_CREATE, Permission.PO_APPROVE, ...] INVENTORY_MANAGER = [Permission.INVENTORY_ADJUST, ...]

7.3 Security Measures

  • API Security: Rate limiting, request size limits, input validation
  • Data Protection: Encryption at rest and in transit (TLS 1.3)
  • Audit Logging: Comprehensive audit trail for all data modifications
  • Vulnerability Management: Regular security scans and dependency updates

7.4 Compliance

  • SOC 2 Type II: Security and availability controls
  • GDPR Compliance: Data privacy and user consent management
  • SOX Compliance: Financial data controls and audit trails

8. Deployment Strategy

8.1 Environment Strategy

  • Development: Local Docker Compose setup
  • Staging: Cloud environment mirroring production
  • Production: High-availability cloud deployment

8.2 AWS Deployment Architecture

  1. Infrastructure as Code (Terraform) Production Environment: - EKS Cluster: Multi-AZ deployment - RDS PostgreSQL: Multi-AZ with read replicas - ElastiCache Redis: Clustered setup - S3: Static assets and file storage - CloudFront: CDN for global content delivery - ALB: Application Load Balancer with SSL termination - Route 53: DNS management - Secrets Manager: Secure credential storage

8.3 Container Strategy

  1. Multi-stage Docker build for optimization FROM python:3.11-slim as base
  2. ... base dependencies

FROM base as development

  1. ... development tools

FROM base as production

  1. ... production optimizations COPY --from=build /app /app USER nonroot EXPOSE 8000 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

8.4 CI/CD Pipeline

  1. GitHub Actions workflow name: Deploy to Production on: push: branches: [main]

jobs: test: - Run unit tests - Run integration tests - Security scanning - Code quality checks

build: - Build Docker images - Push to container registry - Generate deployment artifacts

deploy: - Deploy to staging - Run E2E tests - Deploy to production - Health checks

9. Performance Requirements

9.1 Performance Targets

  • API Response Time: < 200ms for 95th percentile
  • Database Query Time: < 100ms for complex queries
  • Page Load Time: < 3 seconds for initial load
  • Concurrent Users: Support 10,000+ simultaneous users
  • Throughput: 1,000+ requests per second

9.2 Optimization Strategies

  • Caching: Multi-layer caching (Redis, CDN, browser)
  • Database: Query optimization, indexing strategy
  • Frontend: Code splitting, lazy loading, asset optimization
  • API: Response compression, pagination, field selection

9.3 Scalability Design

  • Horizontal Scaling: Stateless application design
  • Auto-scaling: Kubernetes HPA based on CPU/memory metrics
  • Database Scaling: Read replicas and connection pooling
  • CDN: Global content distribution

10. Monitoring & Observability

10.1 Monitoring Stack

  • Metrics: Prometheus + Grafana for system metrics
  • Logging: ELK Stack (Elasticsearch, Logstash, Kibana)
  • Tracing: Jaeger for distributed tracing
  • APM: DataDog or New Relic for application performance

10.2 Key Metrics

  • Business Metrics: Order volume, processing time, error rates
  • Technical Metrics: Response times, throughput, error rates
  • Infrastructure Metrics: CPU, memory, disk, network utilization
  • Security Metrics: Failed login attempts, API abuse patterns

10.3 Alerting Strategy

  • Critical Alerts: System down, data corruption, security breaches
  • Warning Alerts: High error rates, performance degradation
  • Info Alerts: Deployment notifications, scheduled maintenance

11. Development Workflow

11.1 Development Process

  • Git Workflow: GitFlow with feature branches
  • Code Review: Mandatory peer review before merge
  • Testing: TDD approach with comprehensive test coverage
  • Documentation: Automated API docs, code comments

11.2 Code Quality Standards

  • Backend: Black formatting, pylint, mypy type checking
  • Frontend: ESLint, Prettier, TypeScript strict mode
  • Testing: 80%+ code coverage requirement
  • Security: SAST/DAST scanning in CI pipeline

11.3 Local Development Setup

  1. Quick start commands git clone <repository> cd procurement-system docker-compose up -d # Start all services npm run dev # Start frontend poetry run uvicorn main:app --reload # Start backend

12. Risk Assessment

12.1 Technical Risks

Risk Probability Impact Mitigation

Database performance issues Medium High Implement caching, query optimization

Third-party API failures High Medium Circuit breakers, fallback mechanisms

Security vulnerabilities Medium High Regular security audits, dependency updates

Scalability bottlenecks Medium High Performance testing, auto-scaling

12.2 Business Risks

Risk Probability Impact Mitigation

User adoption resistance Medium High User training, phased rollout

Data migration issues Low High Comprehensive testing, rollback plan

Integration complexities High Medium API-first design, thorough testing

13. Timeline & Milestones

13.1 Development Phases

Phase 1: Foundation (Weeks 1-4)

  • ✅ Project setup and infrastructure
  • ✅ Core authentication and user management
  • ✅ Basic product management
  • ✅ Database schema implementation

Phase 2: Core Features (Weeks 5-10)

  • 🔄 Inventory management module
  • 🔄 Purchase order workflow
  • 🔄 Supplier management
  • 🔄 Basic reporting features

Phase 3: Advanced Features (Weeks 11-16)

  • ⏳ Shipment tracking
  • ⏳ Advanced analytics
  • ⏳ Mobile responsive design
  • ⏳ Integration APIs

Phase 4: Production Ready (Weeks 17-20)

  • ⏳ Performance optimization
  • ⏳ Security hardening
  • ⏳ Production deployment
  • ⏳ User training and documentation

13.2 Go-Live Strategy

  • Pilot Deployment: Limited user group (Week 18)
  • Soft Launch: Gradual user onboarding (Week 19)
  • Full Production: All users migrated (Week 20)

14. Future Roadmap

14.1 Short-term Enhancements (Next 6 months)

  • Mobile Apps: Native iOS/Android applications
  • AI/ML Features: Demand forecasting, price optimization
  • Advanced Analytics: Predictive insights and dashboards
  • Workflow Automation: Custom approval workflows

14.2 Medium-term Goals (6-12 months)

  • Microservices Migration: Service decomposition
  • Advanced Integrations: ERP, accounting systems
  • Global Expansion: Multi-currency, multi-language
  • Supply Chain Optimization: Route planning, cost optimization

14.3 Long-term Vision (1-2 years)

  • IoT Integration: RFID, barcode scanning automation
  • Blockchain: Supply chain transparency and traceability
  • Advanced AI: Automated purchasing decisions
  • Ecosystem Platform: Third-party developer APIs

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