Maersk
by A.P. Moller - Maersk
Maersk publishes container events such as gate in, load, discharge and gate out, along with vessel schedules, booking details and invoices, through its APIs. When those land in the Lake with purchase orders and inventory, supply chain teams can follow each container against plan, measure dwell time at ports and price ocean freight per unit of product, instead of chasing status updates by email.
- Category
- Operations & Logistics
- Type
- Freight & visibility
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key, OAuth 2.0
- Docs
- Maersk API docs
02Data
What you can sync.
- Shipment events
- Vessel schedules
- Bookings
- Invoices
Keep Maersk shipment events in your Lake and let an AI Mind flag what is late, costly or off plan.
Need more? Name any other Maersk data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
- OAuth 2.0 (client ID, client secret, refresh token)
Maersk uses an API key or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in A.P. Moller - Maersk if you need help.
04Questions
Questions you can answer.
Once Maersk data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- Which trade lanes show the largest gap between scheduled and actual vessel arrival over the last six months?
- How many days do our containers wait between discharge and gate out at each destination port?
- What is the ocean freight cost per unit for each SKU once Maersk invoices are allocated to purchase orders?
- Which bookings were moved to a later vessel, and how much safety stock did those delays consume?
05How it works
How it works in DataMind.
-
Pick Maersk.
Open Lake, pick Maersk in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Maersk API docs.
-
Answer a few questions.
The AI reads the Maersk documentation, then asks which credentials you will use, which data to sync (for example shipment events and vessel schedules), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Maersk data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Maersk.
Sources teams join with Maersk in the Warehouse, each one connected the same way.
