A leading manpower supply company in the UAE, serving as an authorized vendor for the country’s largest oil and gas conglomerate, manages tens of thousands of skilled workers deployed across offshore and onshore sites. As part of a digital transformation initiative by the oil & gas company, the client was required to migrate all workforce data to SAP Fieldglass, the new centralized employee and vendor management system.
The client faced a critical challenge migrating thousands of employee records into SAP Fieldglass. With diverse data formats and strict compliance deadlines, manual migration created inefficiencies, errors, and operational risks across their workforce management process.
These challenges highlighted the urgent need for an automated, reliable migration solution. The next step focused on designing a system-driven approach to ensure speed, accuracy, and compliance.
To streamline the massive employee data migration, Codelattice implemented a Zoho RPA solution. The system automated extraction, interpretation, and import of structured and unstructured records, ensuring accuracy, speed, and compliance throughout the SAP Fieldglass migration.
Zoho RPA bots accessed internal databases and HR repositories automatically.They identified and categorized documents such as passports, medical records, visas, and certifications, reducing manual effort and ensuring consistency across thousands of employee profiles.
Bots used OCR combined with AI to extract key information.
This approach accurately processed images, PDFs, and varied document formats, minimizing errors and handling inconsistencies that typically arise in manual extraction.
Extracted data was mapped to corresponding fields in SAP.
Details like full name, date of birth, blood group, nationality, passport numbers, visa types, and expiry dates were accurately aligned for seamless migration.
Built-in rules flagged inconsistencies or missing data automatically.
Human reviewers could quickly resolve anomalies, while an audit trail maintained compliance for regulatory and internal standards.
RPA bots connected directly with legacy databases and repositories.
This ensured uninterrupted data flow and preserved the integrity of employee records throughout the migration process.
The system handled thousands of employee records simultaneously.
Parallel processing drastically reduced migration time while maintaining accuracy across all employee profiles and document types.
All migration activities were logged for transparency.
This provided a complete audit trail, demonstrating adherence to internal policies and external regulatory requirements.
Automation significantly decreased repetitive data entry tasks.
HR staff were able to focus on high-value activities such as employee support and verification, improving operational efficiency.
The solution was designed to accommodate growth in employee records.
It can easily handle new document types, additional data fields, or process updates as the company expands operations.
The Zoho RPA-driven migration ensured rapid, error-free data transfer while maintaining compliance and operational integrity. This robust solution prepared the client for measurable improvements, setting the stage for evaluating tangible migration results.
The Zoho RPA-powered migration delivered exceptional results in record time:
Ensured Workforce Continuity
Organized Operational Data Systematically
50,000+ Employee Profiles Migrated
99% Manual Effort Reductio
Rapid Deployment Achieved
Improved Data Accuracy
By implementing Zoho RPA, the manpower supply company successfully executed a secure, accurate, and scalable migration of over 50,000 employee records into SAP Fieldglass. Automation eliminated manual bottlenecks, reduced errors, and ensured compliance with stringent industry standards, allowing HR teams to focus on higher-value activities.
This project demonstrates how intelligent automation can transform large-scale workforce management operations. With rapid deployment, full audit readiness, and future-ready scalability, Codelattice enabled the client to enhance operational efficiency, maintain business continuity, and set a new standard for digital transformation in the oil and gas and manpower sectors.
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