Real-Time Supply Chain Automation System for Agriculture Enterprise
Industry: Agriculture Manufacturing & Logistics
Solution: End-to-end real-time supply chain management platform
Deployment: AWS (EC2)
Core Capabilities: Auction automation, shipment tracking, warehouse planning, role-based operations management, reporting & reconciliation
About Client
The client is a fertilizer manufacturing enterprise managing raw material procurement, production, warehousing, and international shipment via vessels.
With multiple operational roles and high transaction volumes, the organization required a centralized digital platform to eliminate inefficiencies, improve transparency, and streamline end-to-end supply chain operations.
The Business Challenge
The client was operating critical supply chain processes through fragmented and manual systems.
Key issues included:
- Manual auction processes vulnerable to manipulation
- Limited transparency in supplier transactions
- Inefficient warehouse and shipment planning
- Lack of real-time vessel tracking
- Manual reconciliation and delayed reporting
- Poor cross-functional visibility across operational teams
As operations scaled, the risk of data discrepancies, revenue leakage, and operational delays increased. The organization needed much more than software development—structured digital transformation.
Aegis Softtech’s Approach
We designed and implemented a scalable, role-based supply chain management platform that digitized the client’s entire operational workflow.
1. Auction Process Automation
To eliminate manual intervention and reduce malpractice risks, we:
- Digitized the auction workflow
- Implemented secure role-based access control
- Created audit-friendly transaction records
- Enabled structured bid tracking and validation
2. End-to-End Operational Workflow Digitization
Each workflow function was mapped to clearly defined user roles—admin, marketer, terminal, logistics, inventory controller, operational user, and general user. This ensured controlled access and accountability across departments.
The platform unified:
- Raw material procurement
- Fertilizer production tracking
- Composition management
- Supplier and contract management
- Warehouse capacity planning
- Shipment planning and routing
- Inventory transactions
- Sales tracking
3. Real-Time Shipment & Vessel Tracking
We implemented real-time vessel tracking capabilities, allowing:
- Shipment visibility across routes
- Better logistics planning
- Improved coordination between warehouses and shipping teams
- Faster operational decision-making
This replaced reactive reporting with proactive monitoring.
4. Reporting & Decision Intelligence
Using PostgreSQL, Liquibase, and Metabase, we:
- Built automated scheduler jobs for report generation
- Enabled historical performance tracking
- Created management dashboards for operational visibility
- Enhanced reconciliation workflows for finance and operations teams
Leadership could now make data-backed decisions instead of relying on delayed manual summaries.
5. Scalable & Secure Architecture
Our Java developers worked closely with data engineers to develop a new architecture that ensured modular scalability, workflow automation, and secure authentication. We focused on facilitating a reliable integration across their operational modules.
Here’s the technology stack we leveraged in the process:
- Backend: Java 11, Spring Boot
- Security: Apache Shiro OAuth2, Spring AOP
- Integration Layer: Apache Camel
- Database: PostgreSQL
- Frontend: JavaScript, jQuery, Syncfusion Components, Bootstrap
- Cloud Deployment: AWS EC2
Our Implementation Strategy
Given operational sensitivity, we deployed the system in structured phases.
To minimize operational disruption, we deployed the system in structured phases.
The first phase focused on digitizing manual workflows and training operational teams to ensure smooth adoption.
The second phase stabilized and optimized the system based on real-world usage, enhancing performance and infrastructure capacity.
The final phases strengthened reporting, reconciliation, and decision-support capabilities, transforming the platform into a completely mature, real-time supply chain management system.
Business Impact
The digital transformation enabled the client to:
- Eliminate manual auction malpractice risks
- Increase operational transparency
- Improve shipment and warehouse planning accuracy
- Centralize supplier and inventory management
- Strengthen reconciliation processes
- Enable data-driven decision-making
The organization transitioned from fragmented manual workflows to a centralized, real-time digital supply chain ecosystem.
More Success Stories
Call Center
Our client is leading call center service provider in USA. Our client had multiple call center sites with hundreds of support team handling support for many bit MNCs in USA.
Read Detailed Case Study
Data Warehousing - Car Rental
They specialize in offering GPS-enabled vehicles to provide real-time tracking and monitoring capabilities to their customers.
Read Detailed Case Study
Cyber Security
Our client has created a Risk engine which will prepare a detailed report by analyzing different data received from different sources.
Read Detailed Case Study