Promise Dates

Use the Promise API to get an estimated delivery date to display during conversion and checkout to reduce uncertainty that leads to cart abandonment and improve customer delivery satisfaction.

Overview

parcelLab provides an API you can call to get forecasted delivery dates. This date can be used to display a delivery date promise on the product details page or at checkout. It can be shown in a format you want on your website so customers can see when a product should arrive before buying it.

For more information on the scope and requirements of this feature, please contact your parcelLab representative.

Get Promise Date

You can retrieve the forecasted delivery date of an order using the v4/promise/prediction/predict endpoint.

Generate prediction

get

Authorizations

OAuth2 AuthenticationHeaderToken

AuthorizationstringRequired

Bearer authentication header of the form Bearer <token>.

Query parameters

accountintegerRequired

Account ID

calibrationstring,null · enum · nullableOptional

Set to true, to indicate that the prediction should be done based on the current, not yet published, promise configuration

• conservative - conservative
• balanced - balanced
• aggressive - aggressive

Possible values:

courierstring · min: 1 · max: 40 · nullableOptional

The logistics courier to be used. Defaults to returning all configured couriers.

destination_country_iso3stringRequired

ISO 3166-1 alpha-3 code of destination country

destination_postal_codestring · min: 1 · max: 10 · nullableOptional

Postal code of destination

dispatch_nowbooleanOptional

Forces the forecasted delivery date to skip any warehouse calculation and generate a prediction if the parcel is shipped at the moment of the API call, if set to 'true'

Default: false

draftboolean · nullableOptional

Set to true, to indicate that the prediction should be done based on the current, not yet published, promise configuration

language_iso2string · min: 2 · max: 2 · nullableOptional

ISO 639-1 code of the language to use for localization

now_overridestring · nullableOptional

Locks the prediction for a specified request date as a ISO 8601 date and time in UTC format like 2022-06-10T06:42:00Z. Defaults now to the current time if omitted, which is required for production usage.

service_levelstring · min: 1 · max: 40 · nullableOptional

The courier service level mapped in your Promise configuration (for example: express delivery). Defaults to returning all courier service levels.

tagstring · min: 1 · max: 40 · nullableOptional

Tag to target prediction adjustment rule

warehousestring · min: 1 · max: 40 · nullableOptional

The warehouse the delivery shipped from (input field: key). Defaults to the default warehouse for the destination.

Responses

200Success

application/json

400Error

application/json

get

/v4/promise/prediction/predict/

HTTPcURLJavaScriptPython

GET /v4/promise/prediction/predict/?account=1&destination_country_iso3=text HTTP/1.1
Authorization: Bearer YOUR_SECRET_TOKEN
Accept: */*

{
  "request_id": "text",
  "success": true,
  "prediction": [
    {
      "id": "text",
      "warehouse": "text",
      "courier": "text",
      "courier_name": "text",
      "courier_alias": [
        "text"
      ],
      "courier_service_level": [
        "text"
      ],
      "prediction": {
        "min": 1,
        "max": 1,
        "likely": 1,
        "send_date": "2026-02-01",
        "earliest_date": "2026-02-01",
        "latest_date": "2026-02-01",
        "most_likely_date": "2026-02-01",
        "earliest_locale": "text",
        "latest_locale": "text",
        "most_likely_locale": "text",
        "cutoff": 1,
        "cutoff_locale": "text"
      }
    }
  ]
}

Result Structure

The API always returns a list of applicable predictions according to the specified query. The request_id is for tracing and troubleshooting purposes only.

{ 
    "request_id": "abcd1234", 
    "success": true,
    "error": null, 
    "prediction": [ ... ] 
} 

Each entry in the prediction array represents one delivery method, including a delivery prediction like the following structure:

{ 
  "id": "Delivery Method ID", 
  "warehouse": "Warehouse ID", 
  "courier": "parcelLab courier code, e.g. ups", 
  "courier_name": "Pretty courier name", 
  "courier_alias": [ "Retailer internal courier code" ],
  "courier_service_level": [ "all specified aliases for the service level" ], 
  "prediction": { 
    "min": 1, 
    "max": 2, 
    "likely": 2,
    "send_date": "2022-06-11", 
    "earliest_date": "2022-06-12",
    "latest_date": "2022-06-13",
    "most_likely_date": "2022-06-13",
    "earliest_locale": "Thursday, Jun 12th, 2022",
    "latest_locale": "Friday, Jun 13th, 2022",
    "most_likely_locale": " Friday, Jun 13th, 2022",
    "cutoff": 747,
    "cutoff_locale": "12 hours"
  } 
} 

Delivery Prediction Details

The details included in a delivery prediction are described in the following table.

Key	Type	Description
min	Integer	The minimum number of expected courier working days until delivery. Note: The value for minimum and maximum can be equal.
max	Integer	The maximum number of expected courier working days until delivery. Note: The value for minimum and maximum can be equal.
likely	Integer	The most likely number of expected courier working days until delivery.
send_date	ISO 8601 date format: YYYY-MM-DD	The date of dispatch as per warehouse configuration.
earliest_date	ISO 8601 date format: YYYY-MM-DD	The earliest expected delivery date taking into consideration working days of the courier, holidays in the destination, and warehouse cut-off and handling times.
latest_date	ISO 8601 date format: YYYY-MM-DD	The latest expected delivery date taking into consideration working days of the courier, holidays in the destination, and warehouse cut-off and handling times.
most_likely_date	ISO 8601 date format: YYYY-MM-DD	The most likely individual date of delivery.
earliest_locale	Defaults to dddd, MMM DDD, YYYY	Localized representations of the earliest expected delivery date in the specified format.
latest_locale	Defaults to dddd, MMM DDD, YYYY	Localized representations of the latest expected delivery date in the specified format.
most_likely_locale	Defaults to dddd, MMM DDD, YYYY	Localized representations of the most likely delivery date in the specified format.
cutoff	Integer	The time in minutes until cut-off for the estimated delivery dates.
cutoff_locale	String	Localized representations of the cut-off. Can be used within a sentence like "Order within [2 hours | an hour | 20 minutes] to receive your order by [Saturday, Mar 23rd, 2022]".

Sample Calls

The sample API calls below show different information in the request (for example: home delivery as the courier service type) for the delivery prediction.

Country

https://api.parcellab.com/v4/promise/prediction/predict?account=1612197&destination_country_iso3=DEU
{ 
    "requestId": "wLy6ThLp", 
    "success": true, 
    "prediction": [{ 
        "id": "DHL Standard", 
        "warehouse": "Europe Warehouse",  
        "courier": "dhl-germany", 
        "courier_name": "DHL", 
        "courier_alias": [],
        "courier_service_level": ["home-delivery","pick-from-store"]  
        "prediction": { 
            "min": 1, 
            "max": 3, 
            "likely": 2,
            "send_date": "2023-11-23", 
            "earliest_date": "2023-11-24", 
            "latest_date": "2023-11-27", 
            "most_likely_date": "2022-11-25",
            "earliest_locale": "Friday, Nov 24th, 2023", 
            "latest_locale": "Monday, Nov 27th, 2023", 
            "most_likely_locale": "Saturday, Nov 25th, 2023", 
            "cutoff": 104, 
            "cutoff_locale": "1 hour, 44 minutes"},
        { 
         "id": "UPS Express, 
         "warehouse": "Europe Warehouse",  
         "courier": "ups", 
         "courier_name": "UPS", 
         "courier_alias": [],
         "courier_service_level": ["home-delivery","express","overnight"]  
         "prediction": { 
             "min": 1, 
             "max": 1, 
             "likely": 1,
             "send_date": "2023-11-23", 
             "earliest_date": "2023-11-24", 
             "latestdate: "2023-11-24", 
             "most_likely_date": "2023-11-24", 
             "earliest_locale": "Friday, Nov 24th, 2023", 
             "latest_locale": "Friday, Nov 24th, 2023",
             "most_likely_locale": "Friday, Nov 24th, 2023", 
             "cutoff": 76, 
             "cutoff_locale": "1 hour, 16 minutes"
      }
  }]
}

Country and Zip Code

Specific Service Types

Calculating Delivery Dates for Orders with Known Dispatch Date

For orders where you know the actual dispatch date, you can calculate accurate delivery dates based on when the order will ship. This is useful for scenarios where:

• An order's dispatch date is confirmed after placement

• You need to provide customers with updated delivery expectations based on actual shipment dates

• Customer service agents need to communicate accurate timelines for existing orders

How It Works

To calculate a delivery date for an already placed order when you know the dispatch date, use these two parameters together:

1. now_override=<date> - set this to the known dispatch date/time in ISO 8601 UTC format (for example: 2025-07-01T16:00:00.000Z)

2. dispatch_now=true - this forces the API to skip warehouse cutoff calculations and calculate the delivery date as if the parcel ships at the exact time specified in now_override

The now_override timestamp must be in UTC (Zulu time), not local time. Always include the Z suffix or .000Z to indicate UTC.

When using dispatch_now=true with a specific now_override value for already placed orders, the cutoff will be 0 as you're bypassing warehouse calculations and calculating delivery based on the known dispatch time.

Testing Your Promise Configuration

To preview saved but unpublished changes to your Promise configuration in a staging environment:

1. Integrate the Promise API call to your staging environment.

2. Add the query parameter &draft=true to your Promise API call.

This will generate a promise date based on your unpublished Promise configuration, that can be used to review the effect of any configuration updates on the frontend of your staging environment.