Manufacturing OS Case Study | Operations Automation
Back to Case StudiesInventory & Production OS for Manufacturing
Real-time inventory tracking, production forecasting, and compliance automation for multi-plant manufacturing.
This Operations AI automation case study explores Inventory & Production OS for Manufacturing. Tags: Operations, Workflow Automation, AI Implementation, Reporting, Retool, Make.com, AI Automation.
78% → 99%
Inventory Accuracy
-40%
Production Delays
-85%
Compliance Reporting Time
Overview
A manufacturing firm operating multiple plants needed real-time inventory tracking, production forecasting, and compliance automation to replace outdated ERP modules and spreadsheet-driven processes. ERP modernization was achieved without replacing the ERP.
Challenges
Legacy ERP with no API
Inventory inconsistencies between plants
Manual production forecasting
Compliance reporting requiring manual consolidation
No real-time visibility into raw materials or capacity
What We Delivered
Python microservices with PostgreSQL data layer
Automated ingestion from ERP through custom connectors
Real-time inventory engine with item-level tracking
Automated reorder triggers with FIFO/FEFO compliance
AI production forecasting with scenario simulations
Custom Next.js application for production scheduling
Multi-plant operational visibility dashboard
Tech Stack
Python, PostgreSQL, Redis, Next.js, Azure Functions, Azure Blob Storage
Tags
Results
78% → 99%
Inventory Accuracy
-40%
Production Delays
-85%
Compliance Reporting Time
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