Solution
Casio implemented a unified omnichannel data platform to replace experience-based marketing with data-driven decision-making across online and offline retail channels. The solution ingests customer transaction data, bar codes, product attributes, and warehouse inventory from multiple touchpoints into Dataphin's data mid-end layer, creating standardized data indicators across commerce, inventory, and after-sales. Real-time analytics powered by AnalyticDB enable dynamic AIPL population segmentation during peak seasons like Double 11, improving inventory turnover efficiency and reducing stockouts while unifying brand loyalty tagging across the ecosystem.
Data flow
Omnichannel sales/inventory/customer data → Dataphin consolidation → standardized indicators → AnalyticDB analytics → marketing campaigns and inventory optimization
Solution architecture
2 components · 2 layers - Storage
- AnalyticDB for MySQL Real-time data warehouse enabling multi-dimensional analysis of sales, inventory turnover, and customer behavior patterns
- Governance
- Dataphin Unified PaaS data platform consolidating omnichannel assets, standardizing data indicators, and enabling real-time AIPL population analysis
- AIPL audience model used for sales prediction and inventory planning
- AnalyticDB for MySQL as petabyte-scale real-time data warehouse
- Dataphin as unified PaaS data platform using OneData/OneID/OneService
After adopting data mid-end, Casio was able to analyze its customers comprehensively from multiple perspectives.
Casio achieved 1.7 million views during the Double 11 Cloud Conference live broadcast, 3.17 million store visits and 2.97 million transactions were conducted.
Dataphin helped Casio to predict sales based on the AIPL population, improve the efficiency of inventory turnover, and reduce inventory pressure.
