RetailIQ Analytics Dashboard
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RetailIQ Analytics Dashboard

A real-time business intelligence platform for a retail chain with 45 stores across Oman. The dashboard provides inventory insights, sales forecasting, and customer behavior analytics.

Python dbt BigQuery Apache Airflow Apache Superset Pandas scikit-learn

Project Details

Client
Al Meera Retail Group
Category
Data & Analytics
Year
2026

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Case Study

The Challenge

With 45 stores and millions of daily transactions, the retail group had no visibility into cross-store performance, stockouts were frequent, and promotional effectiveness was impossible to measure.

Our Solution

We designed a data warehouse using dbt and BigQuery, built ETL pipelines from their POS systems, and created an executive dashboard with Superset showing real-time KPIs, demand forecasting, and automated reorder suggestions.

The Result

Stockout incidents reduced by 52%, promotional ROI improved by 34%, and the management team can now make data-driven decisions within hours rather than waiting for weekly manual reports.

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