Automated and consistent quotation at FLSmidth

Challenge

FLSmidth's quotation processes are built on a combination of engineering data and commercial logic. This knowledge used to sit scattered across systems, employees and manual workflows, which made the quotation work hard to scale and keep consistent.

At the same time, the existing data model was not suited to rule-based configuration. That meant a risk of differing outputs, long turnaround times and a high manual resource consumption – and the quality of the quotations came to depend on the key employees who knew both the engineering and the business.

Solution

Capacit rebuilt and standardised the data model, so quoting could run on structured data and clear rules instead of expert judgement. The model now holds FLSmidth's engineering knowledge and commercial logic in one scalable foundation, and drives both configuration and the automated quotation flows.

How AI adds value

Less manual work, fewer differences between quotes, and engineers who spend their time on engineering. In numbers: turnaround has gone from 22 days to 9.

FLSmidth is left with a data model that can carry the next thing too.