Retail

Retail Analytics Transformation

Client was struggling with fragmented data across 500+ stores, unable to get real-time insights into inventory, sales, and customer behavior. Legacy systems caused 24-48 hour delays in reporting.

Global Retail Chain
6 months
8 engineers Team Members

The Challenge

Client was struggling with fragmented data across 500+ stores, unable to get real-time insights into inventory, sales, and customer behavior. Legacy systems caused 24-48 hour delays in reporting.

Our Solution

We built a cloud-native data platform on Azure, integrating POS systems, inventory databases, and CRM data. Implemented real-time data pipelines using Azure Data Factory and Databricks, with Power BI dashboards for instant insights.

Technologies Used

Azure
Databricks
Power BI
Python
SQL Server
Azure Data Factory

Results & Impact

Achieved 95% reduction in reporting time (from 24 hours to 30 minutes), 30% improvement in inventory turnover, 25% increase in sales through better demand forecasting, and $2M annual cost savings from optimized inventory management.