Case Study

Coffee Chain Digital Transformation

Unifying operations across 200+ outlets by consolidating 5 different POS systems, multiple accounting databases, and marketing data into a single BigQuery data warehouse with advanced Looker Studio analytics.

POS 1POS 2POS 3-5AccountingMarketingBigQueryWarehouseUnified DataLookerStudioAnalytics

Project Overview

This major Vietnamese coffee chain faced the challenge of managing operations across 200+ outlets with fragmented systems. Five different POS systems, separate accounting databases from multiple entities, and disconnected marketing platforms created data silos that hindered decision-making and operational efficiency.

Our solution consolidated all data sources into a unified BigQuery data warehouse, enabling real-time analytics through Looker Studio dashboards. This transformation provided unprecedented visibility into operations, sales performance, inventory management, and customer behavior across the entire chain.

Key Challenge

The client struggled with data fragmentation across 5 different POS systems, multiple accounting databases from separate business entities, and isolated marketing platforms. This created blind spots in operations and made strategic decision-making nearly impossible.

Project Details

Industry: Food & Beverage
Outlets: 200+ locations
Duration: 6-12 months
Team Size: 4 specialists
Budget Reference: $25K - $75K USD

Technologies Used

BigQuery Looker Studio Cloud Functions Pub/Sub Cloud Storage Dataflow Cloud SQL APIs

Real-Time Analytics Dashboards

Interactive Looker Studio dashboards providing comprehensive insights across all business operations.

Sales Performance Dashboard

Daily Sales OverviewToday's Revenue₫2.4MActive Outlets198/200Avg Order Value₫85K

Real-time sales tracking across all outlets with automated alerts for performance anomalies.

Inventory Management Dashboard

Inventory StatusCoffee Beans - 80%Milk - 40%Sugar - 20%Cups - 70%⚠️ Low Stock Alert: 15 outlets need sugar restockingAuto-reorder triggered for next delivery cycle

Automated inventory tracking with predictive restocking and low-stock alerts.

Customer Analytics Dashboard

Customer InsightsRegular (35%)Premium (25%)Loyalty (30%)New (10%)Daily Customers12,450Retention Rate78%Satisfaction4.6/5

Customer segmentation and behavior analysis with loyalty program insights.

Financial Performance Dashboard

Financial OverviewMonthly Revenue₫8.2B↗ +15.3%Profit Margin23.5%↗ +2.1%Cost per Sale₫52K↘ -8.2%

Consolidated financial reporting across all entities with real-time P&L tracking.

Data Integration Architecture

A comprehensive data pipeline consolidating multiple systems into a unified analytics platform.

Data Consolidation

Unified data ingestion from 5 different POS systems, multiple accounting databases, and marketing platforms into BigQuery.

  • • Real-time POS data streaming
  • • Batch accounting data imports
  • • Marketing campaign integration
  • • Data validation and cleansing

BigQuery Data Warehouse

Scalable cloud data warehouse with optimized schemas for fast querying and analysis across all business dimensions.

  • • Partitioned tables for performance
  • • Automated data quality checks
  • • Historical data preservation
  • • Cost-optimized storage

Looker Studio Analytics

Interactive dashboards and reports providing real-time insights into sales, operations, and customer behavior.

  • • Real-time dashboard updates
  • • Custom KPI tracking
  • • Automated report generation
  • • Mobile-responsive design

Real-Time Processing

Cloud Functions and Pub/Sub enable real-time data processing and immediate dashboard updates across all outlets.

  • • Event-driven architecture
  • • Automatic scaling
  • • Error handling and retry logic
  • • Monitoring and alerting

Data Security & Compliance

Enterprise-grade security with role-based access control, data encryption, and compliance with Vietnamese data protection regulations.

  • • End-to-end encryption
  • • Role-based access control
  • • Audit logging
  • • GDPR compliance ready

Automated Reporting

Scheduled reports and alerts for management, with customizable KPIs and automated distribution to stakeholders.

  • • Daily/weekly/monthly reports
  • • Exception-based alerting
  • • Executive dashboards
  • • Performance benchmarking

Results & Impact

Transformational improvements in operational efficiency and decision-making capabilities.

95%
Data Accuracy
Eliminated manual data entry errors
70%
Faster Reporting
Real-time insights vs. weekly reports
40%
Cost Reduction
Operational efficiency improvements
24/7
Real-Time Monitoring
Continuous operations visibility

Client Testimonial

"This digital transformation has revolutionized how we manage our coffee chain. We now have complete visibility across all 200+ outlets in real-time. The unified data platform has enabled us to make data-driven decisions that have significantly improved our profitability and customer satisfaction. The AlphaBits team delivered exactly what we needed."
TN
Trần Ngọc
Operations Director, Major Coffee Chain

Implementation Timeline

A structured 6-month implementation process with clear milestones and deliverables.

1

Data Assessment & Planning (Month 1)

Comprehensive audit of existing POS systems, accounting databases, and data sources. Architecture design and integration planning.

Deliverables: Data inventory, integration architecture, project roadmap
2

Infrastructure Setup (Months 2-3)

BigQuery data warehouse setup, Cloud Functions deployment, and initial data pipeline development for POS systems integration.

Deliverables: Cloud infrastructure, data schemas, initial data pipelines
3

Data Integration & ETL (Months 4-5)

Complete integration of all 5 POS systems, accounting databases, and marketing platforms. Data validation and quality assurance.

Deliverables: Unified data warehouse, validated data flows, quality monitoring
4

Analytics & Deployment (Month 6)

Looker Studio dashboard development, user training, and production deployment with ongoing support setup.

Deliverables: Live dashboards, user training, documentation, support procedures

Key Learnings

Insights and best practices from this comprehensive data consolidation project.

What Worked Well

  • Phased approach allowed for continuous validation and adjustment
  • Early stakeholder engagement ensured buy-in from all outlet managers
  • Cloud-native architecture provided scalability and cost efficiency
  • Real-time monitoring prevented data quality issues

Areas for Improvement

  • More extensive data profiling could have identified edge cases earlier
  • Additional change management support would have accelerated adoption
  • Earlier performance testing with full data volumes
  • More comprehensive disaster recovery testing

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