Leading Retail Chain
How we built a real-time analytics platform using Databricks that improved inventory efficiency by 45%, accelerated customer insights by 300%, and drove 28% revenue growth across 200+ stores.
Business Impact
The Challenge
Siloed Data Systems
Data scattered across 15+ legacy systems with no unified view
Delayed Insights
Weekly reports taking 3-5 days to generate, missing market opportunities
Inventory Inefficiencies
$12M in excess inventory and frequent stockouts affecting customer satisfaction
Limited Personalization
Generic customer experiences due to lack of real-time behavioral data
Our Solution
Unified Data Platform
Databricks lakehouse architecture consolidating all data sources
Real-time Analytics
Streaming data pipelines with sub-second latency for instant insights
ML-Powered Forecasting
Advanced machine learning models for demand prediction and optimization
Customer 360 Platform
Unified customer profiles enabling real-time personalization
Data Platform Architecture
Data Ingestion
Real-time streaming from POS, inventory, and customer systems
Data Lake
Databricks Delta Lake for unified batch and streaming processing
ML Platform
MLflow for model lifecycle management and automated retraining
Analytics
Power BI dashboards with real-time data visualization
Data Platform
Cloud Infrastructure
Analytics & Visualization
Data Discovery & Architecture
Data mapping and platform design (6 weeks)
Core Platform Build
Databricks setup and initial data pipelines (10 weeks)
ML Model Development
Forecasting and recommendation models (8 weeks)
Analytics & Rollout
Dashboard creation and phased store rollout (8 weeks)
Key Use Cases
ML models analyzing historical sales, weather, events, and trends to predict demand with 85% accuracy.
- Seasonal trend analysis
- External factor integration
- Store-level optimization
Real-time customer profiles enabling personalized recommendations and targeted marketing campaigns.
- Behavioral segmentation
- Product recommendations
- Dynamic pricing
Automated inventory management with real-time stock level optimization across all store locations.
- Automated reordering
- Cross-store transfers
- Waste reduction
"The data platform Furō built has transformed our business. We now make decisions based on real-time insights rather than gut feeling. The 28% revenue growth speaks for itself – this investment paid for itself in the first quarter."
Ready to Unlock Your Data's Potential?
Let's discuss how we can build a data platform that drives similar results for your business.