Automotive Production Inventory Automation With Dynamics-365
Project Type
Automotive Production Inventory
Domain
Microsoft Dynamics 365 Business Central
OVERVIEW
Automated end-to-end manufacturing and inventory workflows for a car speedometer production unit using Microsoft Dynamics 365 Business Central.
The project focused on improving production control, inventory accuracy, and real-time operational visibility.

Problem Statement
Involvement
- Automated manufacturing workflows using Dynamics 365 Business Central
- Collaborated with production and inventory teams to optimize processes.
- Implemented MRP, Power Automate workflows, and reporting dashboards
The Brief
To implement a smart manufacturing solution using Dynamics 365 Business Central that automates production workflows, enhances inventory tracking, enables MRP-driven planning, and ensures real-time responsiveness across the production lifecycle.
APPROACH
Our Approach
We carefully structured the site to prioritize gentle guidance and informed choice. Key components include:
We implemented a structured automation strategy to streamline manufacturing and inventory processes. Key components include:
Assessement
- Analyzed production workflows and identified automation opportunities.
- Configured Dynamics 365 Business Central for end-to-end production lifecycle management.
Design
- Implemented inventory automation, bin tracking, and material consumption controls.
- Enabled MRP-driven demand planning and capacity simulation.
- Established vendor management processes with automated purchasing and performance tracking.
Tools & Technologies
- Microsoft Dynamics 365 Business Central
- Microsoft Dynamics 365
- Microsoft Dynamics ERP
- Power BI
- Power Automate
The Result
The implementation successfully unified multiple legacy systems into a single, integrated ERP platform, significantly improving operational efficiency through automation and standardized workflows. Financial reporting became more accurate with faster month-end closures, while enhanced inventory visibility reduced discrepancies and carrying costs. Demand forecasting and production planning were optimized, and real-time Power BI insights enabled better, data-driven decision-making across the organization.

