Data Analytics Solution for a Restaurant Chain
Project category
Data Analytics for Restaurant
UrbanSlice Pizzeria
Australlia
2.5 months
Transform Your Restaurant Data Into Real-Time Decisions
Project Overview
An Australian pizza-focused restaurant chain with 60+ locations needed to scale operations and keep pace with data-driven competitors. Manual, location-by-location management created delays, higher costs, and inconsistent guest experiences.
We delivered a centralized eCommerce Sales Data Dashboard in Power BI that unifies store, delivery, and marketing data—enabling demand forecasting, dynamic pricing guidance, inventory and labor optimization, and real-time service monitoring across all outlets.
Key KPI’s to Track
Focused on measuring personalization impact, customer behavior, and revenue performance across the eCommerce journey.
- Sales & Channels: Revenue by location/daypart/channel, AOV, conversion (web/app), promo ROI
- Operational Flow: Order-to-serve time, prep time, delivery SLA %, order accuracy, cancellations/refunds
- Inventory & Waste: Days of cover, stockouts (ingredients), spoilage/waste %, purchase lead-time reliability
- Labor & Cost: Labor cost %, labor utilization, overtime %, productivity per labor hour
- Customer & Brand: CSAT/NPS, review sentiment, repeat purchase rate, loyalty redemption/earn rate
- Forecasting & Pricing: Forecast accuracy (MAPE), price index vs. competitors/aggregators
- Labor Productivity Dashboard: Track labor cost %, utilization, overtime, and productivity per hour to optimize staffing across shifts.
- Supplier Performance Module: Monitor lead-time reliability and delivery accuracy to reduce stockouts and ingredient costs.
- Loyalty & Retention Insights: Analyze loyalty redemption and repeat purchase trends to drive targeted retention strategies.
Solution Offered — eCommerce Sales Data Dashboard
A structured, end-to-end program designed to convert multi-channel restaurant data into daily, KPI-driven decisions.
Unified Data Integration & Standardization
- Connected POS, ordering apps, delivery aggregators, inventory, workforce, and loyalty systems into a governed SQL/Cloud warehouse.
- Standardized menus/SKUs, timestamps, customer IDs, supplier data, and store hierarchies to support all sales, operations, inventory, labor, and loyalty KPIs.
Forecasting, Pricing & Revenue Intelligence
- Built time-series forecasts (location × daypart × channel), AOV trends, conversion insights, and MAPEs for accurate demand and sales planning.
- Developed competitor price index, promo ROI models, contribution guardrails, and revenue uplift metrics to optimize pricing and profitability.
Inventory, Supplier & Labor Optimization
- Calculated days of cover, reorder points, waste %, stockouts, supplier lead-time reliability, and ingredient health for proactive inventory control.
- Modeled staffing rosters using labor cost %, utilization, overtime %, and productivity per hour to align workforce with forecasted demand and SLA targets.
Operational & Customer Experience Intelligence
- Mapped the full order-to-serve funnel, including prep time, delivery SLA %, accuracy, cancellations/refunds, and bottleneck detection.
- Built sentiment models, CSAT/NPS tracking, review themes, repeat purchase behavior, and loyalty redemption insights to improve guest experience.
Automated Insights, Alerts & Collaboration
- Configured real-time alerts for stockouts, SLA breaches, sentiment dips, low loyalty activity, and high labor cost variance.
- Delivered role-based Power BI dashboards, scheduled refreshes, weekly ops packs, and drill-downs from chain → region → store → menu → order for aligned execution.
Key Features of the Dashboard
Designed as a real-time restaurant operations command center integrating sales, demand, inventory, labor, customer, pricing, and fulfillment insights.
Business Benefits
Enhanced efficiency, quality, and profitability through connected manufacturing intelligence and real-time operational control.
01
Operational Efficiency at Scale
Real-time visibility and alerts replaced manual checks, cutting delays and coordination overhead across 60+ stores.
02
Revenue Growth & Pricing Discipline
Forecast-informed pricing and targeted promos drove healthy sales while protecting margins.
Better Guest Experience
Faster service, fewer stockouts, and sentiment-driven improvements boosted satisfaction and loyalty.
04
Inventory & Labor Cost Control
Smart par levels and demand-aligned staffing reduced waste, overtime, and avoidable costs.
05
Data-Driven Culture
A single source of truth aligned leadership and store teams on actions and outcomes.
06
Supplier Reliability & Waste Reduction
Improved lead-time tracking, reorder accuracy, and ingredient forecasting minimized spoilage and stockouts.
Who Gains Actionable Insights from This System?
Tech Stack Used
Engineered for governed, scalable analytics with real-time insights and operational adoption across manufacturing plants.
Microsoft Power BI
Azure Data Platform (Data Lake + SQL + ADF)
Python Analytics Layer
Results Achieved
Significant improvements in cost, quality, and fulfillment through data-driven manufacturing operations.
Key Results:
The eCommerce Sales Data Dashboard now serves as the command center for daily stand-ups and weekly regional reviews keeping service fast, shelves stocked, and pricing competitive across every location.