Use Cases
Drift detection, by distribution category.
Jan-San, paper, safety, and multi-branch books each go quiet differently. The method underneath is the same in all of them: every account measured against its own ordering rhythm.
JAN-SAN / FACILITY SUPPLY
Jan-San accounts run on a tight clock, so a broken pattern shows up fast.
A facility that orders every two weeks and one that orders every two months are both perfectly normal — they are simply on different clocks. Each account gets its own baseline: how many days normally pass between its orders. The gap since the last order is measured against that, and nothing is compared to a category average.
- Catch a skipped cycle in days, not at the quarterly review
- Every account judged against its own rhythm, never a blended one
- Under four clustered orders, no baseline is claimed and nothing is flagged
4
clustered orders before a baseline is claimed
Drift Levels
Watch
Slipping
Gone quiet
Want to see this run against your own accounts?
Replay runs the same rules over your own order history and shows what it would have caught, and when. It runs in your browser, free, with no account to create.