Driving Sales and Improving Inventory Management with Data Analytics

A leading house décor company with multiple sales channels, including physical stores, an online platform, and third-party marketplaces.
Known for a wide variety of products but struggling with fragmented data across various sales and inventory systems.

The client had difficulty consolidating data from multiple sources (in-store, online, third-party) into a unified view.
This lack of centralized data made it hard to analyze sales performance, inventory levels, and customer trends, limiting informed decision-making.

Fragmented data across several platforms with no centralized reporting system.
Inability to track real-time inventory levels, leading to overstocking or stockouts.
Difficulty in monitoring sales trends and understanding customer behavior across channels.
Existing reporting methods were manual and time-consuming, which delayed business insights.

We assessed the client’s existing data infrastructure and proposed a centralized data mart that unified data from all channels.
We set up an automated Azure Data Factory pipeline to gather and process data from various sources in real time.
Developed custom Power BI dashboards to visualize sales trends, inventory, and customer demographics in a single, easy-to-use platform.
Implemented advanced data modeling to standardize reporting and ensure consistency across different departments.
Built key performance metrics (KPIs) for sales growth, inventory efficiency, and product performance.

20% improvement in inventory management, reducing overstock and stockout issues.
15% increase in sales due to more targeted marketing based on customer demand insights.
Enhanced decision-making through real-time, interactive dashboards, allowing the client to drill down into specific data points for deeper analysis.
Leadership gained a clear, unified view of business performance, enabling better forecasting and strategic planning.