SAP · Manufacturing
Industrial leader saves $40M with SAP Datasphere supply-chain intelligence
$40M year-one savings · SAP Business AI on a governed semantic layer
At a glance
Key metrics
$40M
year-one savings
27%
downtime reduction
140
plants harmonized
Challenge
The situation
SAP S/4HANA held the authoritative record, but plant and supplier signals couldn't join it in time for weekly planning.
Approach
How we delivered
- 01 Built the harmonized semantic layer on SAP Datasphere, federating S/4HANA, plant historians, and supplier data.
- 02 Launched SAP Business AI copilots on the governed layer for finance and supply planners.
- 03 Defined supply-chain data products with named owners and SLAs.
Architecture
Solution architecture
Datasphere federates S/4HANA, plant historians, and supplier data. Business AI grounded on Datasphere. BTP hosts custom supply-planning apps. Azure used for high-volume sensor landing, federated back.
Architecture diagram placeholder
Data flow across source systems, platform, governance, and activation layers.
Outcomes
Measured results
- $40M year-one savings from better allocation and reduced expedites.
- 27% downtime reduction.
- Quality root-cause trace reduced from days to hours.
Technology
Tech stack
Platform
- SAP Datasphere
- SAP BTP
- SAP Business AI
Source systems
- SAP S/4HANA
- OSIsoft PI
Hyperscaler
- Microsoft Azure
“SAP plus everything around SAP — in one place the planners trust.”
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