Read the network's health over time.
Sell-through trends by tier, zone and product line, with a history of where and when backups formed - so you can tell a one-off from a pattern and act on the difference.
Sell-through trends
Track movement by tier, zone and product line across any period.
Bottleneck history
See where backups keep recurring, not just where one is happening now.
Network health
A running read on how freely product is flowing through the whole chain.
Turn one-off firefighting into pattern spotting.
A backup you fix once is a task. A backup that recurs every cycle in the same zone is a structural problem - analytics tells the two apart.
- Compare sell-through across tiers, zones and product lines
- See a timeline of when and where bottlenecks formed
- Spot nodes that recur as backups cycle after cycle
- Track whether network health is improving or slipping
A backup that keeps coming back.
Zone 2 at the sub-dealer tier has been flagged in three of the last four cycles. On its own each looked like bad luck. Seen as a series, it points to a structural issue worth fixing at the source.
Illustrative history. Real trends are built from your network's own movement data over time.
See the patterns hiding in your network.
Bring a recurring headache and we will show how the analytics would surface it as a trend.