Logistics Delivery ETA Prediction

This dataset provides comprehensive delivery records for logistics operations, including historical and real-time data on delivery routes, timing, vehicle and package details, and contextual factors such as traffic and weather. It enables accurate ETA prediction, performance analysis, and operational optimization for logistics providers and customers.

  • opened 5 times
  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Predicting delivery arrival times for customer notifications

Sample rows

preview · 8 of 200 rows · all 30 columns
delivery_idstringtraffic_conditionstringdistance_kmfloatorigin_countrystringorder_idstringcustomer_idstringpickup_datetimedatetimescheduled_delivery_datetimedatetimeactual_delivery_datetimedatetimepredicted_eta_datetimedatetimeorigin_street_addressstringorigin_citystringorigin_statestringorigin_postal_codestringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringvehicle_typestringcarrier_idstringdriver_idstringpackage_weight_kgfloatpackage_volume_m3floatweather_conditionstringdelivery_statusstringdelivery_prioritystringcreated_atdatetimeupdated_atdatetimedelay_reasonstring
DLV-000001normal6.7United StatesORD-0000001CUST-0012024-06-03T08:13:00Z2024-06-03T14:15:00Z2024-06-03T14:24:00Z2024-06-03T14:18:00Z112 Main StNew YorkNY10001275 Park AveBrooklynNY11205United StatesvanCAR-0012DRV-00124.90.08cleardeliveredexpress2024-06-03T07:44:00Z2024-06-03T14:24:00Zblank
DLV-000002normal12.3CanadaORD-0000002CUST-0022024-06-02T11:09:00Z2024-06-02T17:23:00Zblank2024-06-02T17:17:00Z57 Granville RdRichmondBCV7C1E2340 Robson StVancouverBCV6B2B6CanadacarCAR-0123DRV-01238.20.16rainin_transitstandard2024-06-02T10:57:00Z2024-06-02T16:59:00Zblank
DLV-000003heavy9.1United KingdomORD-0000003CUST-0032024-05-26T09:54:00Z2024-05-26T17:20:00Z2024-05-26T18:05:00Z2024-05-26T17:40:00Z14 Oxford StLondonENGW1D1BS209 Baker StLondonENGNW13AUUnited KingdombikeCAR-0022DRV-00221.60.03raindeliveredsame_day2024-05-26T09:23:00Z2024-05-26T18:05:00ZSevere traffic congestion due to roadworks in city center.
DLV-000004heavy21.5United StatesORD-0000004CUST-0042024-06-04T07:35:00Z2024-06-04T13:20:00Zblank2024-06-04T13:08:00Z101 Sunset BlvdLos AngelesCA90028233 N Victory BlvdBurbankCA91502United StatestruckCAR-0088DRV-008835.70.74clearpendingstandard2024-06-04T07:04:00Z2024-06-04T09:18:00Zblank
DLV-000005normal9.6AustraliaORD-0000005CUST-0052024-05-29T10:26:00Z2024-05-29T20:31:00Zblank2024-05-29T20:45:00Z82 George StSydneyNSW200017 Pacific HwyChatswoodNSW2067AustraliacarCAR-0056DRV-00563.10.09clearin_transitexpress2024-05-29T09:59:00Z2024-05-29T11:21:00Zblank
DLV-000006normal23.2CanadaORD-0000006CUST-0062024-06-01T06:09:00Z2024-06-01T10:23:00Z2024-06-01T10:46:00Z2024-06-01T10:30:00Z97 Bay StTorontoONM5J2R815 Finch Ave WNorth YorkONM2N7J6CanadavanCAR-0039DRV-003917.20.23fogdeliveredstandard2024-06-01T05:37:00Z2024-06-01T10:46:00Zblank
DLV-000007normal4.2FranceORD-0000007CUST-0072024-05-30T13:15:00Z2024-05-30T16:35:00Z2024-05-30T17:10:00Z2024-05-30T16:50:00Z39 Rue de RivoliParisIDF7500420 Rue de LyonParisIDF75012FrancebikeCAR-0046DRV-00460.70.01raindeliveredsame_day2024-05-30T12:54:00Z2024-05-30T17:10:00Zblank
DLV-000008normal8.4GermanyORD-0000008CUST-0082024-05-31T08:03:00Z2024-05-31T15:47:00Zblank2024-05-31T15:15:00Z28 FriedrichstrBerlinBE1011765 KantstrBerlinBE10625GermanycarCAR-0017DRV-00172.80.07clearpendingexpress2024-05-31T07:35:00Z2024-05-31T09:10:00Zblank

What the 200 rows show

from the 200-row sample

Unknown (traffic condition) stands out: mean distance_km is 443.5, against 21.2 for the rest.

  • 11.6median distance_km
  • 3delivery priorities
  • 5vehicle types
  • 5delivery statuses
  • 6weather conditions
  • 30destination countries
Mean distance_km by traffic_condition200 rows
040080014.7normal135 rows32.5heavy40 rows37.5accide…4 rows111.0closed4 rows443.5unknown17 rows
distance_km200 rows, in bands of 200
09519018863011108001,400distance_km →

Median 11.6, from 2.1 to 1,284.

origin_country200 rows · top 10 of 30 values
  1. USA50
  2. Canada33
  3. Australia20
  4. France16
  5. United States14
  6. UK10
  7. Italy8
  8. Brazil6
  9. Germany5
  10. New Zealand5
30 columns by typefrom the column list below
  • string 21
  • float 3
  • datetime 6

Columns

30 columns in three groups
blueprint · 30 columns
columntypedescriptionexample
Text 21 columns
delivery_idstringUnique identifier for each delivery recorduniqueDLV-000001
order_idstringUnique identifier for the associated orderORD-0000001
customer_idstringUnique identifier for the customer receiving the deliveryCUST-001
origin_street_addressstringStreet address of the pickup location112 Main St
origin_citystringCity of the pickup locationNew York
origin_statestringState of the pickup locationNY
origin_postal_codestringPostal code of the pickup location10001
origin_countrystringCountry of the pickup locationUnited States
destination_street_addressstringStreet address of the delivery destination275 Park Ave
destination_citystringCity of the delivery destinationBrooklyn
destination_statestringState of the delivery destinationNY
destination_postal_codestringPostal code of the delivery destination11205
destination_countrystringCountry of the delivery destinationUnited States
vehicle_typestringType of vehicle used for delivery (e.g., truck, van, bike)truck · van · bike · car · othervan
carrier_idstringUnique identifier for the logistics carrier or delivery serviceCAR-0012
driver_idstringUnique identifier for the driver assigned to the deliveryoptionalDRV-0012
traffic_conditionstringTraffic status during delivery (e.g., normal, heavy, accident, closed)normal · heavy · accident · closed · unknown · optionalnormal
weather_conditionstringWeather status during delivery (e.g., clear, rain, snow, storm)6 values · optionalclear
delivery_statusstringCurrent status of the delivery (e.g., pending, in_transit, delivered, delayed, cancelled)pending · in_transit · delivered · delayed · cancelleddelivered
delay_reasonstringReason for delivery delay, if applicableoptionalSevere traffic congestion…
delivery_prioritystringPriority level of the delivery (e.g., standard, express, same_day)standard · express · same_dayexpress
Numbers 3 columns
distance_kmfloatTotal distance in kilometers between origin and destination0 or more6.7
package_weight_kgfloatWeight of the package in kilograms0 or more4.9
package_volume_m3floatVolume of the package in cubic meters0 or more · optional0.08
Dates and times 6 columns
pickup_datetimedatetimeDate and time when the package was picked up for delivery2024-06-03T08:13:00Z
scheduled_delivery_datetimedatetimeScheduled date and time for delivery as per logistics plan2024-06-03T14:15:00Z
actual_delivery_datetimedatetimeActual date and time when the delivery was completedoptional2024-06-03T14:24:00Z
predicted_eta_datetimedatetimePredicted estimated time of arrival for the delivery2024-06-03T14:18:00Z
created_atdatetimeTimestamp when the delivery record was created2024-06-03T07:44:00Z
updated_atdatetimeTimestamp when the delivery record was last updated2024-06-03T14:24:00Z

Use it for

  • median distanc…11.6200 rowsmean distance km by t…14.7norm…32.5heavy37.5acci…111.0clos…

    A logistics dashboard

    Distance_km by traffic_condition and a breakdown of origin_country. Excel, Power BI or Tableau.

  • Why do the 17 unknown rows have a mean distance_km of 443.5?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable deliveries with order_id, customer_id and pickup_datetime to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 30 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

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This dataset200 rows30 columns
Yours1,000 rows30 columnsorigin_street_address: UK only

blueprint · logistics-delivery-eta-prediction

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 30 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Include route and traffic features
  • Segment by delivery type
  • Track actual vs predicted ETA
  • Flag missed ETAs
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
logistics-delivery-eta-prediction

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