Case Study: a US-based manufacturing company achieves faster reporting and lower inventory costs with i-Verve’s ERP modernization and AI forecasting

a US-based manufacturing company cuts report times from 12–15 minutes to 8 seconds with i-Verve

The customer, a US-based manufacturing company, faced significant operational challenges due to its 15-year-old legacy ERP system. The outdated .NET Framework and Windows Forms application caused crippling performance, deployment paralysis, and an inability to integrate modern tools, which blocked the CTO's ambitions for AI-powered forecasting. i-Verve was engaged to modernize the system and address these critical bottlenecks.

i-Verve executed a 22-week, zero-downtime modernization project. The solution involved decomposing the monolith into .NET 8 microservices, building a modern React frontend, and migrating to AWS. Crucially, i-Verve implemented a Python-based AI layer with a Prophet forecasting model for automated purchase orders. The results were transformative: report generation sped up from 15 minutes to 8 seconds, inventory accuracy jumped to 96%, and the AI forecasting saved $280K annually while reducing stockouts by 62%.