Real-time Analytics Platform for Retail Operations
A large retail operator lacked real-time visibility into sales, inventory, and customer behaviour across 50+ locations.
Team
7 data engineers + 2 BI developers
Timeline
12 weeks end-to-end
Client
Major E-commerce Platform (Southeast Asia)
Outcomes Delivered
25%
Inventory Cost Reduction
10M+
Events Processed Daily
18%
Revenue Increase
How we delivered it
Profiled 50+ warehouse data sources and designed a unified lakehouse schema to normalise inventory, sales, and customer event data.
Built a real-time Kafka pipeline processing 10M+ events per day with sub-500ms dashboard refresh latency.
Developed a dbt transformation layer with 120+ tested data models, ensuring data quality and lineage traceability for compliance.
Created 8 executive dashboards and 15 operational dashboards, each with drill-down capability to SKU and warehouse level.
Implemented an inventory forecasting model that reduced overstock by 25% and stockout incidents by 31% in the first quarter.
What we built
Built a real-time data pipeline and interactive analytics dashboard processing 10M+ events per day.
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