📊 Automated Supplier Performance Analyzer

Transform supplier evaluation from subjective guesswork into data-driven strategic decisions

🎯 Overview

The Automated Supplier Performance Analyzer is an enterprise-grade business intelligence solution that revolutionizes supplier relationship management. By automatically aggregating transactional data across purchase orders, quality controls, and incident reports, the system delivers real-time performance insights that drive smarter procurement decisions.

Key Problem Solved

Organizations managing 50+ suppliers waste 70% of procurement time on manual evaluations prone to bias and inconsistency. This system automates the entire evaluation pipeline, providing objective, real-time performance metrics that reduce conflicts, optimize costs, and identify supply chain risks before they escalate.

✨ Features

Core Capabilities

• 🔢 Multi-Criteria Scoring Algorithm

  • Weighted performance calculation: Punctuality (30%), Quality (35%), Incident Management (20%), Price Stability (15%)
  • Automatic grade assignment (A through F)
  • Historical trend tracking with period-over-period comparison

• 🎛️ Real-Time Monitoring Dashboard

  • Dynamic supplier ranking by overall score
  • Active order tracking with delay detection
  • Quality conformity rates and defect categorization
  • Financial impact analysis of incidents

• 🔔 Intelligent Alert System

  • Automated notifications for late deliveries (tiered by severity)
  • Performance degradation warnings
  • Configurable threshold alerts
  • Incident escalation tracking

• 📈 Comprehensive Reporting

  • Supplier comparison matrices
  • Quality trend analysis
  • Delivery punctuality statistics
  • Incident resolution time tracking
  • Customizable date range reports

• 📝 Incident Management

  • Structured problem documentation
  • Root cause analysis tracking
  • Corrective action monitoring
  • Financial impact quantification

Technical Features

• Database Automation

  • Stored procedures for performance calculations
  • Triggers for automatic delay and resolution time computation
  • Materialized views for fast analytics
  • Strategic indexing for high-volume queries

• Data Integrity

  • Foreign key constraints with appropriate cascade rules
  • Check constraints on critical fields
  • Unique constraints on business identifiers
  • Computed columns for derived metrics

• Multi-DBMS Support

  • Complete scripts for MySQL 8.0+
  • PostgreSQL 12+ with advanced features
  • SQL Server 2019+ compatibility

📋 Database Schema

Core Tables

Table	Purpose	Key Metrics
suppliers	Master supplier registry	15 attributes including status, category, certification
purchase_orders	Order lifecycle tracking	Delivery dates, delays, amounts
order_items	Line-item details	Quantities, pricing, received/rejected
quality_controls	Reception inspections	Pass/fail rates, defect categorization
incidents	Problem tracking	Severity, resolution time, financial impact
performance_metrics	Calculated KPIs	Scores, grades, aggregated statistics
alerts	Notification system	Alert types, severity levels, acknowledgment
performance_weights	Scoring configuration	Customizable criterion weights

Entity Relationships

SUPPLIERS (1) ──→ (N) PURCHASE_ORDERS
    │                      │
    │                      ├──→ (N) ORDER_ITEMS ──→ (N) PRODUCTS
    │                      │
    │                      └──→ (N) QUALITY_CONTROLS
    │
    ├──→ (N) INCIDENTS
    ├──→ (N) PERFORMANCE_METRICS
    └──→ (N) ALERTS

Full ERD diagram available in /docs/database_diagram.md

🚀 Installation

Prerequisites

• MySQL 8.0+ / PostgreSQL 12+ / SQL Server 2019+
• Database client (MySQL Workbench, pgAdmin, SSMS, or command-line)
• Minimum 100MB storage for initial schema

Quick Start

1. Clone the repository

   git clone https://github.com/yourusername/supplier-performance-analyzer.git
   cd supplier-performance-analyzer

2. Select your database platform

   # For MySQL
   mysql -u root -p < scripts/supplier_performance_mysql.sql
   
   # For PostgreSQL
   psql -U postgres -d postgres -f scripts/supplier_performance_postgresql.sql
   
   # For SQL Server
   sqlcmd -S localhost -i scripts/supplier_performance_sqlserver.sql

3. Verify installation

   -- Check table creation
   SELECT COUNT(*) FROM information_schema.tables 
   WHERE table_schema = 'supplier_performance_db';
   -- Expected: 11 tables
   
   -- Verify default weights
   SELECT * FROM performance_weights;
   -- Expected: 4 rows

📖 Usage Guide

1. Register Suppliers

INSERT INTO suppliers (supplier_code, company_name, category, status, registration_date)
VALUES ('SUP001', 'Acme Electronics Corp', 'Electronics', 'active', '2024-01-15');

2. Create Purchase Orders

INSERT INTO purchase_orders (order_number, supplier_id, order_date, expected_delivery_date, total_amount)
VALUES ('PO-2024-001', 1, '2024-11-01', '2024-11-15', 25000.00);

3. Record Quality Controls

INSERT INTO quality_controls (order_id, control_date, items_inspected, items_passed, items_failed, severity)
VALUES (1, '2024-11-16', 100, 97, 3, 'minor');

4. Calculate Performance Metrics

-- MySQL/SQL Server
CALL sp_calculate_supplier_performance(1, '2024-01-01', '2024-11-22');

-- PostgreSQL
SELECT * FROM calculate_supplier_performance(1, '2024-01-01', '2024-11-22');

5. Generate Alerts

-- MySQL/SQL Server
CALL sp_generate_alerts();

-- PostgreSQL
SELECT generate_alerts();

6. View Rankings

SELECT 
    supplier_code,
    company_name,
    overall_performance_score,
    performance_grade,
    on_time_delivery_rate,
    quality_conformity_rate,
    performance_rank
FROM v_supplier_ranking
LIMIT 10;

📊 Sample Queries

Top 5 Suppliers by Performance

SELECT 
    company_name,
    overall_performance_score,
    performance_grade,
    total_orders,
    on_time_delivery_rate || '%' AS punctuality,
    quality_conformity_rate || '%' AS quality
FROM v_supplier_ranking
WHERE performance_rank <= 5;

Overdue Orders Report

SELECT 
    supplier_name,
    order_number,
    expected_delivery_date,
    days_overdue,
    total_amount,
    priority
FROM v_active_orders_summary
WHERE delivery_status = 'Overdue'
ORDER BY days_overdue DESC;

Monthly Quality Trend

SELECT 
    DATE_TRUNC('month', control_date) AS month,
    AVG(conformity_rate) AS avg_quality_rate,
    COUNT(*) AS inspections,
    SUM(items_failed) AS total_defects
FROM quality_controls
WHERE control_date >= CURRENT_DATE - INTERVAL '6 months'
GROUP BY DATE_TRUNC('month', control_date)
ORDER BY month;

🔧 Configuration

Adjust Performance Weights

UPDATE performance_weights
SET weight_percentage = 40.00
WHERE criteria_name = 'quality_conformity';

Set Alert Thresholds

Modify the stored procedure sp_generate_alerts() to customize:

• Delay thresholds (default: 3 days warning, 7 days critical)
• Performance score thresholds (default: <70 triggers alert)
• Incident severity escalation rules

📈 Performance Considerations

• Indexes: Pre-configured on all foreign keys and frequent WHERE clause columns
• Partitioning: Consider partitioning purchase_orders by year for 100K+ records
• Archiving: Implement data retention policy for alerts and old performance_metrics
• Batch Processing: Schedule sp_calculate_supplier_performance() nightly for all suppliers

🛣️ Roadmap

• Machine learning module for predictive failure detection
• REST API layer for third-party integrations
• Interactive web dashboard (React + D3.js)
• Automated email/Slack notifications
• Blockchain integration for immutable audit trail
• Multi-language support (i18n)

🤝 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit changes (git commit -m 'Add supplier risk prediction')
4. Push to branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Please ensure all SQL scripts pass linting and include appropriate test data.

⭐ If this project helped you, please give it a star!

Built with 💙 for supply chain professionals worldwide - Jean Narivelo