Enterprise AI
A manufacturing group
A manufacturer's supply chain now plans against a forecast
- Manufacturing
- Client under NDA
- Global
- 20%
- Off supply chain costs, with shorter lead times
The supply chain was slow and expensive to run, and nobody could see demand coming.
What we did
We traced the bottlenecks first, then pulled historical data from across the group's systems. Models forecast demand, set inventory levels and score suppliers, and the output goes straight into the ERP that planners already use.
Related work
See all- A major financial institution
Financial Services/Client under NDA
A major financial institution saw 25% fewer fraudulent transactions after we put machine-learning scoring inside its banking systems.
25%
Fewer fraudulent transactions, caught in real time
- A metropolitan transit network
Government & Public Sector/Client under NDA
A metropolitan transit network's voice line now resolves 70% of calls without a person, in eleven languages.
70%
Calls resolved without a person
- A hospital network
Healthcare/Client under NDA
A hospital network cut readmissions 15% with a risk score that appears in the clinical record before discharge.
15%
Fewer readmissions, with the prediction inside the EHR
Tell us which system the AI has to run inside
If that system is not ready for AI yet, tell us that too. An engineer will reply and say plainly whether we are the right firm for it.