Reworked and remapped a manual order approval process into an automated one — cutting average process time from 4 days to 1.5 days, with no additional headcount.
Orders passed through four manual approvals in strict sequence, even though several of those steps had no real dependency on each other and could have run at the same time.
Whenever order volume spiked, the single-file queue backed up fast — producing backlogs that frustrated both the customers waiting on orders and the employees working through them.
Built a swim lane process map of the current-state flow to see exactly where each approval sat and who owned it. That made it clear which steps could run in parallel and which could be handled by simple automated rules instead of a person.
The revised process was tested with one team for two weeks before being rolled out as the standard process across the whole team.
Average order processing time dropped ~62%, from 4 days to 1.5 days, and backlog incidents during peak week fell by roughly 50%. The redesigned process is now the team-wide standard.