Legacy Modernization Manufacturing 6 months

Legacy ERP Modernization with AI Analytics

Client: Meridian Manufacturing

Modernized a 15-year-old ERP system with AI-powered demand forecasting and real-time analytics, reducing inventory costs by 32% while improving order fulfillment.

32%
Inventory Cost Reduction
94%
Forecast Accuracy
99.2%
Order Fulfillment Rate
Real-time (was 2 days)
Reporting Time

The Challenge

Meridian Manufacturing relied on a legacy ERP system built in 2010. While it contained critical business logic refined over 15 years, it couldn't provide real-time insights, had no predictive capabilities, and required manual data exports for any reporting. The company was losing competitive ground to more data-driven rivals.

Our Solution

Rather than a risky full replacement, we took an incremental modernization approach. We built an API layer around the existing ERP, created a real-time data pipeline to a modern analytics database, and developed AI models for demand forecasting and inventory optimization. A new React-based dashboard gives executives real-time visibility, while the core ERP continues to handle day-to-day operations reliably.

Technologies Used

Python scikit-learn Apache Kafka PostgreSQL React Node.js REST APIs Azure
"They understood that our ERP wasn't broken — it just needed to be smarter. The AI forecasting alone saved us millions in the first quarter. Best technology investment we've ever made."
MR
Michael Rodriguez
VP Engineering, Meridian Manufacturing

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