Signals scattered.
Tracking events, carrier emails, port notices and weather warnings each live in a different place.
Will this shipment arrive on time?
Every open shipment watched against its promise date, so a delay is known, and told, before the customer has to ask.
See it worked throughThe delay is known.
Just not by you.
By the time a late delivery reaches a dashboard, the carrier has known for days and the customer is already chasing.
Promise dates drift.
The date the customer was given is rarely compared with where the shipment actually is today.
Customers hear last.
The first anyone tells the customer is when they call to ask where their order is.
What the AI reads.
Every open shipment read against its promise date, its route and everything that could hold it up.
In
- Orders and promise dates
- Carrier tracking events
- Carrier and forwarder emails
- Port and customs notices
- Weather and disruption alerts
- Customer contacts
At work
- Sense Takes in tracking feeds, emails and notices as they arrive.
- Understand Links each event to the order and the shipment it affects.
- Anticipate Estimates the real arrival date and how likely the promise is to be missed.
- Operate Raises the shipments at risk and drafts the update to the customer.
Out
A list of shipments at risk, each with its reason and a drafted update.
Every shipment watched.
Every delay explained.
The logistics team sees which orders will miss their date, why, and what to tell the customer, before anyone calls.
5 shipments · 3 on time · 1 tight · 1 will be late
| Shipment | Route | Forecast | Detail | Promised |
|---|---|---|---|---|
| SH-80211 | Felixstowe to Leeds, road | On time | Last scan Doncaster; arriving Tuesday | Wed 16 Oct |
| SH-80219 | Rotterdam to Leeds, ferry and road | Late by 2 days | Ferry cancelled for wind; next sailing Thursday | Thu 17 Oct |
| SH-80230 | Southampton to Bristol, road | On time | Unloading slot confirmed by the warehouse | Fri 18 Oct |
| SH-80234 | Antwerp to Manchester, ferry and road | Tight | Customs check requested at Hull | Fri 18 Oct |
| SH-80240 | Leeds to Glasgow, road | On time | Collected this morning | Mon 21 Oct |
Late by 2 days
Ferry cancelled for wind; next sailing Thursday.
SH-80219 · Rotterdam to Leeds, ferry and roadTight
Customs check requested at Hull.
SH-80234 · Antwerp to Manchester, ferry and road
Illustrative example. Shipments, routes, dates and customers are fictional.
Built for customer promises.
The AI forecasts and drafts. Your team decides what the customer hears.
Nothing sent automatically.
Customer updates are drafted for a person to check and send.
How Operate works ↗Every forecast shows its reason.
The tracking event, notice or email behind each estimate sits beside it.
How Anticipate works ↗Runs in your environment.
Order, customer and carrier data stay inside your boundary.
Deployment options ↗Same records.
Other questions.
The documents and data behind this work answer other questions too.
Does the delivery match the order?
Proof of delivery
Match delivery notes, photos and invoices.
See how →What runs out before the next delivery?
Stock shortages
Anticipate shortages before they become a problem.
See how →How much will we need next month?
Demand planning
Plan stock and capacity ahead of demand.
See how →Bring us this week’s open shipments.
We’ll show you which ones are likely to be late, why, and the update each customer should get.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India