1. Client Profile

Our client is a leading industrial equipment manufacturer headquartered in the Gulf region, with over 1,200 employees and multiple production facilities. They manage:

• Four regional warehouses spanning 500,000+ square meters.
• Daily throughput of more than 10,000 inventory transactions.
• Integration with external suppliers and distributors across three countries.

2. Business Challenges

Prior to implementation, the client faced several pain points:

• Fragmented Data: Separate spreadsheets and legacy systems hindered consolidated reporting.
• Stock Inaccuracies: Inventory discrepancies averaged 18%, causing production delays and stockouts.
• Manual Processes: Paper-based purchase orders and physical counts were time-consuming and error-prone.
• Compliance Risks: Difficulty maintaining batch-traceability and audit reports for ISO and local regulations.

3. Technology Stack

To ensure scalability and reliability, we selected:

• Backend: Golang microservices with Gin framework for high throughput.
• Database: PostgreSQL with partitioned tables and Redis for caching hot inventory data.
• Integration: RabbitMQ messaging for decoupled communication between modules.
• Frontend: React-Admin dashboard for real-time KPI monitoring.
• Infra: Docker, Kubernetes on AWS EKS for auto-scaling and zero-downtime deploys.

4. Solution Architecture

We designed a modular, event-driven architecture:

• Inventory Service: Real-time stock tracking with event sourcing.
• Procurement Module: Automated PO generation based on reorder thresholds.
• Warehouse Management: Handheld barcode scanning and mobile UI for cycle counts.
• Reporting Dashboard: React-Admin UI displaying KPIs and drill-down analytics.

5. Implementation Process

1. Discovery & Analysis: We held workshops with stakeholders to map 25+ workflows and define SLAs for inventory accuracy and order fulfillment.
2. Prototyping & Validation: Delivered interactive prototypes using Figma for user feedback, iterating three times before moving to development.
3. Agile Development: Four-week sprints with continuous integration, automated tests (85% unit coverage), and fortnightly demos.
4. Data Migration: Cleaned and transformed 10 years of historical records, loaded into partitioned PostgreSQL tables with zero downtime.
5. User Training & Go-Live: Trained 120 users across three sites, provided 24/7 hypercare support during the first two weeks post-launch.

6. Results & Benefits

• Inventory Accuracy Improved: From 82% to 98% within 3 months.
• Process Efficiency: Cycle count time reduced by 60% using mobile scanning.
• Automation Gains: 40% reduction in manual purchase order tasks.
• Compliance & Audits: Generated ISO-compliant reports in seconds.

7. Key Lessons Learned

• Early Stakeholder Alignment: Frequent demos prevented scope creep and built trust.
• Data Quality Focus: Investing time in data cleanup paid off in smoother migration.
• Modular Design: Decoupled services allowed incremental rollout and easy future enhancements.
• User-Centric Training: Hands-on sessions boosted adoption and minimized post-go-live issues.