Optimizing SCM Procurement using Low-code/no-code Automation
Supply Chain Management (SCM) drives the planning, sourcing, procurement, and logistics of goods and services across suppliers, partners, and customers. Efficient procurement ensures that products are delivered cost-effectively, with quality, and added value. However, modern SCM environments involve complex integrations, high volumes of transactions, and frequent system updates, which make testing and process validation increasingly challenging.
To address these challenges, organizations are turning to Low-code/no-code automation solutions. The platforms let teams streamline workflows, automate repetitive tasks, and validate processes without heavy reliance on custom coding. By combining SCM best practices with Low-code/no-code capabilities, businesses can achieve faster, more accurate, and scalable operational execution while reducing technical dependencies and improving collaboration across stakeholders.
Business Challenge
In a recent fulfillment initiative, shipping-related functionality was highly fragmented, requiring the execution and validation of nearly one hundred API requests. Each request had to be manually executed, validated, and consolidated for regression testing. This process created several operational challenges:
- Manual execution consumed significant testing time and slowed regression cycles.
- Validation of individual responses increased the risk of error.
- Consolidating results across multiple requests made issue tracking difficult.
- Skilled testing resources were heavily engaged in repetitive validation activities.
- Growing transaction volumes increased operational complexity and testing overhead.
The project required a scalable, automated, and easy-to-manage solution that could streamline testing workflows while minimizing technical dependency.
JRD System’s Solution
To address the challenge, JRD Systems implemented a Low-code/no-code automation framework that enabled teams to orchestrate and validate multiple API workflows through configurable visual automation tools rather than manual execution.
Using low-code workflow orchestration capabilities:
- API requests were organized into automated workflow collections that could be executed in a single run.
- Predefined validation rules were configured using visual rule-builder interfaces to automatically verify response accuracy.
- Automated execution generated consolidated validation reports, enabling faster issue identification.
- Business Analysts, QA teams, and developers were empowered to run validations independently without writing scripts.
- Automated workflows were reusable across Development, SIT, and UAT environments, ensuring consistent validation standards.
This approach eliminated repetitive manual effort while enabling cross-functional teams to actively participate in testing and validation activities.
Key Benefits
-
70% Reduction in Regression Testing Time
Automated low-code workflows enable simultaneous execution and validation of multiple API transactions, significantly reducing regression testing timelines. -
80% Reduction in Manual Testing Effort
Visual automation eliminated the need for manual execution and response verification, minimizing repetitive workload for testing teams. -
50% Improved Accuracy and Consistency
Rule-based validation ensures standardized response verification across all environments, reducing validation errors and inconsistencies. -
Enhanced Collaboration Across Teams
Reusable automation workflows allow developers, testers, and business stakeholders to independently validate system changes, improving collaboration and faster iteration. -
Operational Scalability
The low-code/no-code framework made it easy to expand validation coverage as new APIs and business processes were introduced, supporting long-term scalability. -
Comprehensive Reporting and Traceability
Automated consolidated reporting improved visibility into test outcomes, simplifying issue tracking and resolution.
Conclusion
By implementing a low-code/no-code automation approach for procurement and fulfillment testing workflows, the organization significantly improved operational efficiency, reduced manual effort, and enhanced validation accuracy. The reusable automation framework empowered both technical and business teams to execute validations independently, enabling faster delivery cycles and a more agile supply chain technology ecosystem.