See what happens to your goods after they ship
A product for suppliers and manufacturers. Today a shipment into a network is where visibility ends: after that you wait for the next order and guess whether anything sold.
What is wrong today
- Whether the goods are selling or sitting is unknown.
- Which locations are out of stock right now is unknown.
- The next order arrives unexpectedly, in an awkward quantity.
How it works
Only for SKUs the network has permitted: sell-out, days of cover, and the locations where the item is off shelf.
The supplier sees when the network will order and can prepare stock in advance — instead of scrambling on the day the request lands.
What it looks like in use
How the supplier actually delivers: from your own receipts, not from what the contract says.
| Supplier | On time | In full | Average delay | What it cost | Rating |
|---|---|---|---|---|---|
| Distributor A | 96% | 99% | 0.4 days | — | reliable |
| Distributor B | 71% | 88% | 2.9 days | 14 days of empty shelf | needs a talk |
| Manufacturer C | 93% | 94% | 0.8 days | 3 days of empty shelf | reliable |
An anonymised example: locations are lettered and the dataset is shared across every screen on this site.
Who stays in control
The retailer sets the boundaries: which items are visible and which actions are allowed. Competitive comparison is aggregate only and never identifies a company. Paid placement, if it appears, is visually separated.
How it is measured
By on-shelf availability across locations, and the number of orders prepared ahead instead of shipped in a rush.
Show us one critical process. We will show how it runs here.
We look at your cycle: how an order is assembled today, who decides, where time leaks and what the system takes over.