Customer Profile
FedEx Corporation, formerly Federal Express Corporation and later FDX Corporation, is an American multinational conglomerate holding company focused on transportation, e-commerce and business services based in Memphis, Tennessee.
Business Challenge
FedEx experienced challenges in managing and tracking their IT assets effectively. FedEx wanted to streamline the hardware asset lifecycle management process within ServiceNow across multiple locations.
Scope of Services
Develop recycling process, asset(s) information, and preferred method for disposal/recycle. Define stock rooms using sub-locations in a stock-room.
Solution Highlight
- Conducted thorough review sessions with the customer to understand their core data structure and requirements
- Collaborated closely with the customer to design and implement an asset workflow that met their specific needs and integrated seamlessly with their existing processes
- Developed custom fields and rules to meet FedEx requirements for transfer records
- Analyzed existing hardware asset lifecycle workflows within ServiceNow to identify bottlenecks and inefficiencies
- Configured asset states and transitions to align with the FedEx asset management policies and procedures
- Implemented custom fields for proper tracking of transfer orders for assets
Customer Benefits
- Reduced cycle time for hardware asset provisioning and retirement, leading to improved service delivery and operational agility
- Minimized manual errors and data inconsistencies through standardized workflows and automated validation checks
- Increased visibility into the organization’s hardware assets, including previously undiscovered devices
- Reduced manual effort required for maintaining hardware inventory, leading to cost savings and operational efficiency
- Enhanced accuracy in asset tracking and improved compliance with configuration management processes
Transformation Impact
- Improved life cyle for provisioning and retirement by ~25%
- Real time dashboards with data insights improved operational costs by ~15%
- Real time inventory requirements led to a savings of ~20% in costs
- Avoided manual errors with one data model and data accuracy
- Defined the complete asset ownerships, optimal inventory
