Manufacturing OS Case Study | Operations Automation

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Operations

Inventory & 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multiple plants needed real-time inventory tracking, production forecasting, and compliance automation to replace outdated ERP modules and spreadsheet-driven processes.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

1

Legacy ERP with no API

2

Inventory inconsistencies between plants

3

Manual production forecasting

4

Compliance reporting requiring manual consolidation

5

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

OperationsWorkflow AutomationAI ImplementationReportingRetoolMake.comAI Automation

Results

78% → 99%

Inventory Accuracy

-40%

Production Delays

-85%

Compliance Reporting Time

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