Use case 01
IoT-Enabled Predictive Maintenance
Deployed a network of sensors across a manufacturing plant, reducing unplanned equipment downtime by 45%.
Industry · Manufacturing
Connect the factory floor to the boardroom
ERP, Industry 4.0 and predictive maintenance that give every plant, from production to finance, one live view of the business.
- ERPNext for manufacturing
- BOM, work orders, stock
- Industry 4.0
- IoT and connected machines
- Predictive maintenance
- less unplanned downtime
- Live dashboards
- for every plant
Our point of view
From challenge to measurable impact
01 · Challenge
The challenge
Accounts in Tally, stock in spreadsheets and planning on whiteboards, while machines fail without warning.
Blind spots
02 · Approach
Our approach
One ERP for production, stock and finance, sensor data from critical machines and dashboards that update in real time.
ERP · IoT · Insight
03 · Impact
The impact
Faster month-end, fewer stoppages and a live view of stock, orders and production across plants.
One live factory
What we deliver
Capabilities
Select a capability to see what it covers.
01
Predictive Maintenance
Use IoT sensors and AI to predict equipment failures before they occur, minimizing costly downtime.
Discuss predictive maintenance with an expertHow we deliver
A clear path from idea to impact
- 01
Discover
Understand goals, current systems and constraints.
- 02
Design
Target architecture, roadmap and a clear business case.
- 03
Deliver
Build in short releases with visible progress.
- 04
Run & improve
Support, monitoring and continuous optimisation.
In practice
What this looks like for our clients
Use case 02
Digital Twin Implementation
Created a virtual replica of a production line to simulate changes and optimize workflows without disrupting actual operations.
Services that power it
The capabilities behind the results
Yes. It covers bills of materials, work orders, job cards, quality, stock and costing, integrated with accounts and GST.
Usually not. Existing machines can be connected with retrofit sensors and gateways, starting with the most critical equipment.
Pick one critical asset, collect sensor and maintenance data, and prove the value before scaling to more lines.
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