A comprehensive look at how we transformed fragmented legacy systems into a unified, AI-driven data ecosystem, delivering real-time insights and $8.5M in annual savings.
GlobalRetail Corp was struggling with severe data fragmentation across 14 regional warehouses, 3 legacy ERP systems, and disjointed customer touchpoints. Demand forecasting relied on manual spreadsheets updated quarterly, resulting in chronic overstocking of slow-moving items and stockouts of high-demand products. Marketing teams lacked unified customer profiles, making personalized campaigns nearly impossible.
14 isolated databases with no centralized governance or real-time synchronization capabilities.
Executive dashboards were built manually, delaying strategic decisions by nearly 3 days.
Poor demand forecasting led to $6.2M annually in expired or discounted merchandise.
Marketing spend was diluted across broad segments with a 2.1% campaign conversion rate.
DataPulse deployed a phased, enterprise-grade transformation strategy focused on data unification, predictive modeling, and automated decision support.
We consolidated all regional data into a cloud-native data lakehouse on AWS, implementing strict data governance, automated quality checks, and real-time ETL pipelines using Apache Airflow and dbt.
Our data science team engineered custom ML models using historical sales, weather patterns, promotional calendars, and macroeconomic indicators to predict regional demand with 94% accuracy.
We built interactive Tableau dashboards for executives and automated customer segmentation pipelines that triggered personalized email and SMS campaigns via Braze.
Implemented automated model retraining pipelines, anomaly detection alerts, and a dedicated analytics center of excellence to scale insights across new markets.
Within 12 months of full deployment, GlobalRetail achieved transformative improvements across operations, marketing, and financial performance.
"DataPulse didn't just build us a dashboard — they gave us a competitive engine. The predictive models alone saved us millions, but the cultural shift toward data-driven decision making has been the real game-changer. They operate as a true extension of our leadership team."
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