Client Overview
A global quick service restaurant brand operating thousands of stores across multiple countries relies on high-volume, multi-store operations to serve customers daily. The organization depends heavily on accurate, real-time data for staffing optimization, inventory management, and financial planning across its distributed locations.
Problem Statement
The client struggled with fragmented data across point-of-sale systems, waste management tools, purchasing platforms, and employee timesheet applications. These disconnected systems made it difficult to generate reliable reports, delayed decision-making, and increased manual effort in payroll and resource planning across multiple stores.
Key Challenges
Disparate Operational Systems
POS, purchasing, waste management, and workforce data existed in silos, limiting visibility into overall business performance.
Limited Reporting Capabilities
The absence of integrated data prevented the creation of actionable reports for operational and financial insights.
Manual Payroll Processing
Payroll calculations relied on manual consolidation of employee timesheets across a large, distributed workforce.
Solution Implemented
Centralized Data Warehouse : Implemented a data warehouse solution using SQL Server and SSIS to extract, transform, and integrate data from multiple operational systems.
Custom Dashboards and Reporting : Developed tailored dashboards and reports to visualize KPIs, billing metrics, store performance, and payroll calculations in a unified view.
Predictive Resource Planning with ML : Applied machine learning algorithms to identify correlations between sales, weather patterns, holidays, and other external factors, enabling more accurate staffing and resource planning.
Business Impact
Faster Access to Insights
Enabled real-time reporting and dashboards, improving visibility across stores and functions.
Improved Operational Efficiency
Reduced manual data handling and payroll processing, increasing productivity across finance and operations teams.
Smarter Planning Decisions
Predictive insights supported better workforce planning and operational readiness during peak and seasonal demand.
Highlights
- Unified reporting across POS, payroll, and operations
- Significant reduction in manual payroll calculations
- Data-driven staffing and resource planning
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