How We Built a Scalable ERP for Cold Storage Operations
A deep dive into the architecture, engineering decisions, and lessons learned while building a modern ERP platform that powers end-to-end operations for a leading cold storage provider.
Arjun Mehra
Engineering Lead
TL;DR
- Built a modular, multi-tenant ERP handling 10k+ daily transactions.
- Reduced order-to-dispatch time by 62% and inventory discrepancies by 67%.
- Serverless architecture with strong domain boundaries and observability.
- Scalable, integrable with WMS, TMS, and IoT systems.
- Scalable, secure, and ready for multi-region expansion.
1. Introduction
Cold storage logistics are complex. From intake to dispatch, every step must be precise, traceable, and temperature-safe. Legacy systems couldn't keep up with the pace or provide the visibility modern businesses demand.
We built a scalable ERP platform for order management, standard workflows, and deliver real-time insights across facilities.
We needed more than software—we needed a system that thinks in real time like a live cold wall.
— Vinod K., Head of Operations
Leading Cold Storage Provider
2. The Challenge
Siloed Systems
Disparate tools for inventory, orders, billing, and reporting created data gaps.
Poor Visibility
Limited real-time visibility across facilities and cold rooms.
Manual Processes
High touch at every step—invoicing, editions, and documentation.
Scale & Compliance
Needed to scale across locations while meeting strict compliance norms.
3. Our Approach
4. Architecture Overview
Clients
- Web App
- Mobile App
- Partner Portal
API Gateway
Core Services
Data Layer
5. Code Example
async function calculateAvailable(itemId, facilityId) {
const [stock, allocated] = await Promise.all([
getStock(itemId, facilityId),
getAllocated(itemId, facilityId)
]);
const available = stock - allocated;
if (available < 0) throw new Error('Insufficient');
return available;
}
6. API Example
POST /api/v1/orders
7. Live Sandbox
Warehouse: WH-01
Temp: -18°C
12,450 kg
2,150 kg
10,300 kg
8. Process Flow
Order Created
Reserved
Dispatched
9. Flow Comparison
| Aspect | Legacy Flow | New Flow |
|---|---|---|
| Order Processing | 3-5 manual handoffs | Automated validation & routing |
| Inventory Visibility | Periodic updates | Real-time sync |
| Dispatch Time | 4-6 hours | 30-45 minutes |
10. Notes, Tips & Warnings
Note
Always simulate peak load before production. Infra is elastic but not infinite.
Tip
Use idempotent APIs to avoid duplicate records.
Warning
Even short timeouts should explicitly imply concurrency issues.
11. Implementation Timeline
12. Results & Key Lessons
62%
Faster order-to-dispatch time
90%
Reduction in discrepancies
99.9%
System uptime achieved
3x
Increase in operational throughput
13. FAQ
What technologies did you use?
We used Node.js, PostgreSQL, Redis, React, and AWS cloud infrastructure to build the complete solution.
How long did the implementation take?
The entire project took approximately 12 weeks from initial discovery to deployment.
How is the system secured?
Role-based access control, end-to-end data encryption, and continuous monitoring ensure high security standards.
Can it integrate with other tools and regions?
Yes, through flexible REST/GraphQL APIs and multi-tenant setup for global scale.
15. Comments & Testimonials
Priya Shah
3 days agoCOO
"Fantastic transformation! This platform is an absolute backbone for our operations."
Rohit Menon
5 days agoIT Head
"Real-time visibility has reduced firefighting significantly. Great work, team!"