CUSTOMER STORY
Schneider Electric Drives ESG & Efficiency with a Cloud-First Workforce Strategy with GaiaWorks
40%
Cost Savings
Over 40% savings in annual system maintenance and labor management costs.
100%
Labor Compliance
Adherence to local labor laws, becoming a global gold standard.
10k+
Employee Empowered
Frontline workers transitioned to a mobile-first digital experience.
For Schneider Electric, a global leader in energy management and industrial automation, sustainability is at the core of their “Green IT” strategy. Faced with the phase-out of a legacy on-premise system, they leveraged the opportunity to align HR digitalization with their stringent ESG goals. This study explores how Schneider Electric China transitioned 24 factories to GaiaWorks’ SaaS Workforce Management Cloud.
The Challenge: Scaling “Green IT” Across 24 Factories
As the operator of multiple “Lighthouse Factories,” Schneider Electric’s digital strategy must balance operational excellence with carbon neutrality. By 2021, their legacy on-premise time management system reached its end-of-life. The HRIS team needed a solution that wasn’t just a technical replacement, but one that reduced the IT carbon footprint and simplified management across 24 geographically dispersed manufacturing sites.
Operational Drivers for Digital Transformation
Schneider Electric adopted an “Agile 1+N” Ecosystem to drive their multi-cloud strategy:
1. The “1” (Global Core): Oracle HR serves as the single source of truth for global master data.
2. The “N” (Local Specialist): Specialized SaaS platforms like GaiaWorks handle complex, regulation-heavy domains like time and attendance.
3. ESG Alignment: SaaS models reduce energy consumption. GaiaWorks provided a cloud-native “rental” model that reduced carbon footprints by replacing heavy on-premise assets.
1. The “1” (Global Core): Oracle HR serves as the single source of truth for global master data.
2. The “N” (Local Specialist): Specialized SaaS platforms like GaiaWorks handle complex, regulation-heavy domains like time and attendance.
3. ESG Alignment: SaaS models reduce energy consumption. GaiaWorks provided a cloud-native “rental” model that reduced carbon footprints by replacing heavy on-premise assets.
The Solution: Implementing SaaS WFM at Scale
Schneider Electric deployed GaiaWorks across 24 factories to manage 10,000+ frontline workers. The implementation focused on four key pillars:
•Mobile-First Empowerment: Workers shifted from paper slips to managing shifts, leave, and overtime via a mobile App—providing “fingertip transparency.”
•Automated Compliance: A built-in rule engine ensures 100% adherence to China’s strict labor regulations.
•MES Integration: Linking labor data with the Manufacturing Execution System (MES) allows for precise correlation between man-hours and production output.
•Unified Data Lake: Aggregating data from GaiaWorks and Oracle via API to ensure “Data Unity” without needing “System Unity.”
•Mobile-First Empowerment: Workers shifted from paper slips to managing shifts, leave, and overtime via a mobile App—providing “fingertip transparency.”
•Automated Compliance: A built-in rule engine ensures 100% adherence to China’s strict labor regulations.
•MES Integration: Linking labor data with the Manufacturing Execution System (MES) allows for precise correlation between man-hours and production output.
•Unified Data Lake: Aggregating data from GaiaWorks and Oracle via API to ensure “Data Unity” without needing “System Unity.”
Results: A Global Benchmark for Efficiency
The shift to a localized SaaS model delivered immediate and scalable impact:
•Operational Efficiency: Automation of complex calculations reduced the administrative workload for attendance by 70%, leading to over 40% savings in annual system maintenance and labor management costs.
•Global “Gold Standard”: The success of the China deployment now serves as the compliance and efficiency benchmark for Schneider’s operations in South America and Southeast Asia.
•AI Readiness: By structuring and desensitizing data within the cloud, Schneider Electric has prepared its workforce data for future insights using Large Language Models (LLMs).
•Operational Efficiency: Automation of complex calculations reduced the administrative workload for attendance by 70%, leading to over 40% savings in annual system maintenance and labor management costs.
•Global “Gold Standard”: The success of the China deployment now serves as the compliance and efficiency benchmark for Schneider’s operations in South America and Southeast Asia.
•AI Readiness: By structuring and desensitizing data within the cloud, Schneider Electric has prepared its workforce data for future insights using Large Language Models (LLMs).
