AI-Powered SAP Platform Optimization
Global Energy Corporation
Business Context
The organization and its strategic environment
A $7.8B energy company operating across 14 countries needed to modernize its SAP landscape to support predictive operations. The company was spending $23M annually on unplanned maintenance and losing $4.6M per quarter to procurement inefficiencies.
Technology Landscape
Systems and infrastructure before DGT
SAP ECC 6.0 with heavy customization, SAP PM for maintenance, SAP MM for procurement, legacy SCADA systems, and disconnected field service tools across 340 remote sites.
The Challenge
What the client was facing
Manual procurement processes with 72-hour PO processing times, reactive asset maintenance causing $23M in annual unplanned downtime, and field technicians using paper-based workflows with no real-time SAP connectivity.
The DGT Solution
How DGT addressed the challenge
DGT implemented an AI-powered optimization layer across the client's SAP S/4HANA environment, including intelligent procurement automation, predictive asset maintenance using IoT sensor data, and real-time operational dashboards. MobileOps connected 340 field sites to SAP in real time.
DGT Accelerators Used
Delivery Approach
How DGT executed the engagement
Parallel workstream approach: procurement automation, predictive maintenance, and mobile deployment ran simultaneously with shared integration layer. Bi-weekly releases with production validation at each cycle.
Governance Model
How the engagement was managed
Executive sponsor (COO), program management office with 3 workstream leads, weekly cross-workstream sync, monthly board update, and dedicated safety compliance review for maintenance workflows.
Timeline & Phases
The execution roadmap
Assessment & Architecture
3 weeksSAP landscape audit, IoT sensor inventory, AI readiness scoring
S/4HANA Migration
10 weeksCore migration with DataBridge, procurement automation build
Predictive Maintenance
6 weeksIoT integration, ML model training, alert configuration
MobileOps Deployment
4 weeksField app deployment across 340 sites, offline sync
Optimization & Hypercare
4 weeksModel tuning, dashboard refinement, knowledge transfer
Risks Addressed
Key risks DGT mitigated during the engagement
Why DGT Won
What set DGT apart in this engagement
Outcome Metrics
Measurable before-and-after results
| Metric | Before | After DGT |
|---|---|---|
| PO Processing Time | 72 hours | 43 hours |
| Unplanned Downtime | $23M/yr | $9.2M/yr |
| Field Data Entry Time | 45 min/visit | 8 min/visit |
| Procurement Cycle | 18 days | 5.4 days |
The Impact
Headline results delivered
"DGT transformed our SAP operations from reactive to predictive. The results exceeded our expectations within the first quarter."
James Richardson
VP of Operations, Global Energy Corporation