# Late shipments · Use cases · Dscvry

> Late shipments: tracking events, carrier emails and port and weather notices read together to predict which deliveries will miss their date, with the...

Source: https://dscvryai.com/use-cases/late-shipments/

# 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 through ·

1. [Home](https://dscvryai.com/)
2. [Use cases](https://dscvryai.com/#use-cases)
3. Late shipments

## The 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.

### Signals scattered.

Tracking events, carrier emails, port notices and weather warnings each live in a different place.

### 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

1. [Sense](https://dscvryai.com/technology/sense/) Takes in tracking feeds, emails and notices as they arrive.
2. [Understand](https://dscvryai.com/technology/understand/) Links each event to the order and the shipment it affects.
3. [Anticipate](https://dscvryai.com/technology/anticipate/) Estimates the real arrival date and how likely the promise is to be missed.
4. [Operate](https://dscvryai.com/technology/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.

Open shipments · The reasoning ·

Open shipments · Customer deliveries · Week 42 Illustrative

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 |

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
https://dscvryai.com/technology/operate/

### Every forecast shows its reason.

The tracking event, notice or email behind each estimate sits beside it.

How Anticipate works
https://dscvryai.com/technology/anticipate/

### Runs in your environment.

Order, customer and carrier data stay inside your boundary.

Deployment options
https://dscvryai.com/#deployment

## 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 →
https://dscvryai.com/use-cases/proof-of-delivery/

What runs out before the next delivery?

### Stock shortages

Anticipate shortages before they become a problem.

See how →
https://dscvryai.com/use-cases/stock-shortages/

How much will we need next month?

### Demand planning

Plan stock and capacity ahead of demand.

See how →
https://dscvryai.com/use-cases/demand-planning/

More in Supply chain
https://dscvryai.com/#use-cases

Every use case
https://dscvryai.com/use-cases/

## 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 →](https://dscvryai.com/contact/?topic=Late%20shipments%20inquiry)

**London**Discovery AI Limited · United Kingdom

**Hyderabad**ReDscvry Technology Private Limited · India

**Chennai**ReDscvry Technology Private Limited · India