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Our Process
We follow a structured yet flexible approach that aligns technology with your business goals. From in-depth discovery to seamless execution, every step is designed to deliver measurable impact. Our experts ensure transparency, collaboration, and innovation throughout the journey.
1
Data Audit and Use Case Prioritization
Inventory data sources and score use cases by business impact and feasibility.
2
Data Modeling and Architecture
Create canonical models and decide streaming vs batch and storage patterns.
3
Pipeline Engineering and ETL
Build resilient pipelines with schema checks, data quality rules and observability.
4
Analytics and BI Layer
Design dashboards and self service layers with role based access and explainable metrics.
5
Operationalization and Governance
Deploy ML models to production, implement lineage and retention rules and continuous monitoring.
Success Story
Real results from our enterprise implementations.
Reporting lag prevented timely promotions and inventory rebalancing. Day old data caused stockouts.
The Challenge
Implemented near real time streaming pipelines, built a sales forecasting model, and delivered store manager dashboards.
Our Approach
Implemented near real time streaming pipelines, built a sales forecasting model, and delivered store manager dashboards.
Real-time streaming pipelines
Sales forecasting model
Store manager dashboards
Impact & Results
40%
Stockouts decreased
6%
Same store revenue increase
Improved
Promotional window performance
"Stockouts decreased by 40 percent and same store revenue increased 6 percent during promotional windows."
— Client Representative