This project focuses on designing and implementing a relational database for a car dealership, addressing key challenges in sales, inventory management, service scheduling, and customer relationship management. The database optimizes dealership operations and supports data-driven decision-making.
The database design incorporates essential entities and their relationships, including:
- Vehicles: Tracks details such as make, model, year, and VIN.
- Customers: Manages customer information and purchase history.
- Sales and Orders: Records sales transactions, orders, and related shipments.
- Inventory and Suppliers: Maintains inventory levels and supplier details.
- Services: Schedules and tracks vehicle maintenance and repairs.
- Entity-Relationship Model: Developed using crow’s foot notation to represent key entities and their relationships.
- SQL Implementation: Created database schemas, tables, and relationships using SQL scripts.
- Data Normalization: Ensured normalized tables to reduce redundancy and improve data integrity.
- Inventory Optimization: Real-time tracking of vehicles and parts inventory for better stock management.
- Customer Relationship Management: Stores customer preferences and transaction history to support personalized communication.
- Reporting and Analytics: Generates reports for sales trends, inventory status, and service performance.
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