Unified Data Warehouse
For Smarter Restaurants
About the Project
This project focuses on building a unified data warehouse for restaurants across Europe to track performance, analyze trends, and optimize inventory management. By leveraging historical data and predictive modeling, the system aims to reduce food wastage and costs through accurate demand forecasting and trend analysis.
Industry: Software Development & IT Services.
Target Users: Restaurant business owners and management teams.
Problem to Solve
Restaurants face significant losses due to unused food and excess inventory.
The project addresses the need for:
A centralized data warehouse consolidates restaurant data across the company.
Comprehensive trend analysis to identify peak days and occasions.
Predictive modeling to forecast product demand and optimize stock levels.
Key Features / Highlights
Automated ETL Pipeline: Ingest and process multi-source restaurant data.
Centralized Database: MySQL-based centralized database for efficient storage and retrieval.
Historical Trend Analysis: Covering product usage, sales, and costs.
Predictive Model: Forecasting future ingredient and product demand.
Data Visualization: Interactive dashboards in Tableau for real-time cost and inventory tracking.
Results & Impact
Cost Optimization: Reduced food wastage and associated costs by approximately 25% through accurate demand forecasting and better alignment between supply and demand.
Inventory Efficiency: Improved inventory turnover rates by 30%, optimizing stock levels and significantly reducing overstock and storage losses.
Actionable Insights: Enabled business owners to identify peak demand periods and high-traffic occasions, allowing for more efficient staffing, purchasing, and resource allocation.
Real-Time Decision Support: Enhanced decision-making capabilities through real-time visibility into warehouse quantities and product costs via interactive dashboards.
