Data Standardization Across 16 Brands for a Multi-Brand F&B Group

The Challenge

A multi-brand food and beverage group operating 16 brands across Malaysia and the UK faced a critical data challenge: non-conforming data structures across all brands prevented unified reporting and hindered operational oversight in inventory and manpower management. Each brand had developed its own data formats and systems over the years, making it impossible to compare performance, optimize supply chain operations, or make group-level strategic decisions based on consolidated data.

Our Solution

Polar Packet advised on POS data ingestion strategies and engineered custom data models to standardize data hygiene and schemas within a centralized GCP environment. We established Data Cleanrooms for each brand while maintaining group-level visibility, enabling standardized reporting across all 16 brands. Our team also implemented digital marketing pipeline automation and accounting automation to reduce manual operational overhead.

The Results

• Streamlined 16 business data structures into unified reporting framework
• Established Data Cleanrooms enabling both brand-level and group-level analytics
• Reduced hours spent on manual reporting by 70%
• Optimized food and waste management through unified inventory visibility
• Digital marketing pipeline automation enabling cross-brand campaign optimization
• Accounting automation reducing manual finance team workload
• Standardized KPIs and metrics across all 16 brands
• Real-time operational oversight for group-level decision making