Supply Chain Exception Cockpit
Show which inbound disruptions actually threaten a customer commitment, and what the realistic alternatives cost.
The decision it supports
Which supply disruptions matter this week, and what is the least damaging response?
What changes
Fewer missed delivery promises and far less firefighting in the weekly supply meeting.
Data domains
- Supply chain
- Production
- Sales and customers
- Finance and costing
Interactive preview
Supply Chain Exception Cockpit is described here as an opportunity rather than shown as a working demonstration. The interactive build for this industry is Production Exception Manager — it uses the same primitives, the same governed data model and the same decision-to-action pattern this application would.
We build one flagship per industry properly rather than four shallow ones. The pattern transfers.
The workflow
- 01Inbound delays and shortages are detected against the production plan
- 02Affected orders and customer commitments are traced automatically
- 03Substitution, resequencing and expedite options are compared
- 04Margin and service impact are estimated for each option
- 05The chosen response is issued to planning and procurement
Platform capabilities most relevant here
Data Factory
Bring data out of the systems the business already runs on, on a dependable schedule.
OneLake
One governed copy of enterprise data that analytics, AI and applications can all build on.
Curated business entities
Agree once what an order, an asset or a customer means — then reuse it everywhere.
AI functions
Apply language models to business data as a normal part of a data pipeline.
Fabric Apps
Build the application where the governed data already lives, instead of copying it out.
Workflows and approvals
Keep accountability visible when a decision needs a second pair of eyes.
Not every application needs every capability. This is the subset that this decision actually depends on.
Talk about building this