The challenge
Operational decisions were being made on data that arrived a day late. By the time the numbers were current, the manual handling they were meant to reduce had already happened.
The approach
We layered automation and forecasting over the existing operations rather than replacing them. Live data feeds the decisions, the repetitive steps are automated, and the team keeps a defined role in anything the model is not confident about.
- Live operational data rather than overnight batches
- Automation of the highest-volume manual steps
- Explicit human review for low-confidence cases
What changed
Manual handling dropped on the highest-volume lanes, and the decisions that used to be made on stale numbers are made while they still matter.