Success Story 
Advanced Workforce Scheduling & Asset Management in SAP Fiori

01 
Challenge

A large multi-service company managing extensive cleaning staff operations needed to digitalize workforce scheduling across multiple sites.

The operational complexity included:

• High number of active SAP contracts.
• Large-scale shift schedules.
• Dynamic employee assignment.
• Continuous absence and vacation management.
• Urgent replacements.
• Machinery tracking across locations.
• Need for full operational traceability.

Manual or partially integrated tools were no longer sufficient. The goal was to build a corporate application that: 

• Automatically generated schedules based on SAP contracts.
• Enabled flexible employee assignment.
• Managed operational incidents.
• Provided full machinery tracking.
• Integrated natively with SAP.
• No era solo planificación de turnos, era un sistema integral de gestión operativa.

No era solo planificación de turnos, era un sistema integral de gestión operativa.

03
Solution

A complex SAP Fiori application was designed and developed to manage workforce scheduling and assets.

The solution enabled:

• Automatic generation of theoretical schedules from SAP contracts.
• Shift assignment and optimization.
• Absence, vacation, and leave management.
• Rapid reassignment in case of incidents.
• Global visibility of coverage per site.
• Machinery management: Track current holder, track location, block equipment. manage transfers between sites.

The application became a central operational planning tool.

03 
Architecture

FRONTEND

• SAP Fiori.
• Mass scheduling interface.
• Clear visualization of large rosters.
• Intuitive incident management.

BUSINESS LOGIC

• Contract-driven schedule generation.
• Shift allocation engine.
• Availability validations.
• Absence and replacement management.
• Asset tracking and control logic.

INTEGRATION

• Native SAP integration.
• Synchronization with contracts and master data.
• Multi-site centralized management.

The system was designed to support high data volume and concurrent operations.