E-Commerce Delivery Exceptions Dataset

This dataset provides detailed records of failed and delayed e-commerce deliveries, including standardized reason codes, logistics partner information, delivery attempts, and resolution details. It enables in-depth analysis of delivery exceptions to identify bottlenecks, improve logistics efficiency, and enhance customer satisfaction. The data is structured for easy integration with analytics platforms and operational dashboards.

  • last updated 29 Jul 2025
  • by GoMask
The brief that made it

Root cause analysis of delivery failures and delays

Sample rows

preview · 8 of 200 rows · all 23 columns
exception_idstringexception_typestringattempted_delivery_countintegercustomer_contactedbooleanresolution_codestringorder_idstringcustomer_idstringdelivery_address_streetstringdelivery_address_citystringdelivery_address_statestringdelivery_address_postal_codestringdelivery_address_countrystringscheduled_delivery_datedateactual_delivery_datedateexception_reported_datetimedatetimeexception_reason_codestringlogistics_partner_idstringlogistics_partner_namestringexception_statusstringresolution_datetimedatetimenotesstringexception_reason_descriptionstringresolution_descriptionstring
EXC20240001delayed1trueRSLV_REDELIVEREDORD10001CUST000011234 Oak StreetSpringfieldIL62704US2024-04-012024-04-032024-04-02T10:15:00ZDLVY_LATELP001FastTrack Logisticsresolved2024-04-03T15:30:00ZCustomer notified, redelivery arranged.Delivery was delayed due to late departure from facility.Package was redelivered successfully after delay.
EXC20240002failed2falseblankORD10002CUST00002987 Maple AvenueTorontoONM4C1B5CA2024-04-02blank2024-04-03T13:22:00ZRCPT_NOTHOMELP003Maple ExpressopenblankLeft notice at door.Recipient was not at home during delivery attempt.blank
EXC20240003lost1trueblankORD10003CUST00003321 Cedar LaneLos AngelesCA90001US2024-04-04blank2024-04-05T11:50:00ZPKG_LOSTLP006Pacific ShippersescalatedblankEscalated to investigations department.Package was reported lost in transit.blank
EXC20240004damaged1trueRSLV_REFNDORD10004CUST00004205 Pine StreetMontrealQCH2X3E4CA2024-04-032024-04-042024-04-03T17:42:00ZPKG_DMGDLP002Northern Deliveriesresolved2024-04-04T13:11:00ZCustomer provided photos of damage.Package arrived at destination with visible damage.Customer refunded for damaged goods.
EXC20240005failed1falseblankORD10005CUST0000577 Elmwood DriveDallasTX75201US2024-04-05blank2024-04-06T09:18:00ZADDR_INVLLP099Test PartneropenblankblankInvalid delivery address provided by customer.blank
EXC20240006other1falseblankORD10006CUST000065 Chancery LaneLondonblankEC4A1BLGB2024-04-02blank2024-04-03T14:55:00ZWEATH_STOPLP007GlobalX UKopenblankOrder held due to storm.Delivery stopped due to severe weather conditions.blank
EXC20240007lost1falseblankORD10007CUST0000719 Sakura StOsakaOsaka532-0001JP2024-04-01blank2024-04-02T08:00:00ZCSTOMS_HOLDLP010AsiaFastescalatedblankAwaiting customs clearance.Package held at customs for extended inspection.blank
EXC20240008delayed1trueRSLV_REATTEMPTORD10008CUST000084418 Willow RdSan JoseCA95112US2024-04-072024-04-092024-04-08T12:40:00ZTRFFC_JAMLP001FastTrack Logisticsresolved2024-04-09T10:30:00ZCustomer notified, reattempted delivery.Major traffic jam caused significant delivery delays.Delivery successfully completed after reattempt.

What the 200 rows show

from the 200-row sample

Failed (exception type) stands out: mean attempted_delivery_count is 2.3, against 1.2 for the rest.

  • 47%customer_contacted = true
  • 1median attempted_delivery_count
  • 4exception statuses
  • 5delivery address countries
  • 9logistics partners
  • 17exception reason codes
Mean attempted_delivery_count by exception_type200 rows
0242.3failed60 rows1.3delayed38 rows1.3damaged34 rows1.0lost37 rows1.0other31 rows
attempted_delivery_count200 rows, in bands of 0.2
06012011900006400017123attempted_delivery_count →

Median 1, from 1 to 3.

resolution_code82 rows with a value · 118 left blank
  1. RSLV_REDELIVERED20
  2. RSLV_REATTEMPT18
  3. RSLV_REFND16
  4. RSLV_REPLACE11
  5. RSLV_COMPENSATE8
  6. RSLV_PARTREFND7
  7. RSLV_CANCEL2
23 columns by typefrom the column list below
  • string 17
  • integer 1
  • date 2
  • datetime 2
  • boolean 1

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 17 columns
exception_idstringUnique identifier for each delivery exception recorduniqueEXC20240001
order_idstringUnique identifier for the e-commerce order associated with the delivery exceptionORD10001
customer_idstringUnique identifier for the customer who placed the orderCUST00001
delivery_address_streetstringStreet address for the delivery location1234 Oak Street
delivery_address_citystringCity for the delivery locationSpringfield
delivery_address_statestringState or province for the delivery locationIL
delivery_address_postal_codestringPostal or ZIP code for the delivery location62704
delivery_address_countrystringCountry for the delivery location5 countriesUS
exception_typestringType of delivery exception (e.g., failed, delayed, damaged, lost)failed · delayed · damaged · lost · otherdelayed
exception_reason_codestringStandardized code representing the reason for the delivery exceptionDLVY_LATE
exception_reason_descriptionstringHuman-readable description of the reason for the delivery exceptionInvalid test address.
logistics_partner_idstringUnique identifier for the logistics/delivery partner involved9 partnersLP001
logistics_partner_namestringName of the logistics/delivery partnerFastTrack Logistics
exception_statusstringCurrent status of the exception (e.g., open, resolved, escalated, closed)open · resolved · escalated · closedresolved
resolution_codestringStandardized code indicating how the exception was resolved, if applicable7 codes · optionalRSLV_REDELIVERED
resolution_descriptionstringHuman-readable description of the resolution action takenoptionalFull refund processed.
notesstringAdditional notes or comments related to the delivery exceptionoptionalLeft notice at door.
Numbers 1 column
attempted_delivery_countintegerNumber of delivery attempts made before the exception was logged1 or more1
Dates and times 4 columns
scheduled_delivery_datedateThe original scheduled delivery date for the order2024-04-01
actual_delivery_datedateThe actual delivery date if the delivery was completed, otherwise nulloptional2024-04-03
exception_reported_datetimedatetimeTimestamp when the delivery exception was reported2024-04-02T10:15:00Z
resolution_datetimedatetimeTimestamp when the exception was resolved, if applicableoptional2024-04-03T15:30:00Z
True or false 1 column
customer_contactedbooleanIndicates whether the customer was contacted regarding the exceptiontrue

Use it for

  • customer conta…47%93 of 200 rowsmean attempted delive…2.3fail…1.3dela…1.3dama…1.0lost

    A logistics dashboard

    The customer_contacted rate, attempted_delivery_count by exception_type and a breakdown of resolution_code. Excel, Power BI or Tableau.

  • Why do the 60 failed rows have a mean attempted_delivery_count of 2.3?

    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 exceptions with order_id, customer_id and delivery_address_street to fill a screen in front of a buyer.

Not quite right?

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Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows23 columns
Yours1,000 rows23 columnsdelivery_address_street: UK only

blueprint · e-commerce-delivery-exceptions-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 23 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
  • Each exception linked to an order ID
  • Delay reasons categorized by logistics partner
  • Geographic region affects exception type
  • Resolution status updated upon customer service action
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
e-commerce-delivery-exceptions-dataset

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