Parcel Sorting Facility Records

This dataset provides detailed, event-level records of parcels processed through sorting facilities, capturing parcel dimensions, weight, routing decisions, timestamps, facility metadata, and exception handling. It enables comprehensive analysis of logistics flows, bottleneck identification, and optimization of parcel routing and facility operations.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Logistics flow optimization and bottleneck analysis

Sample rows

preview · 8 of 200 rows · all 23 columns
record_idstringrouting_decisionstringparcel_length_cmfloatexception_flagbooleanfacility_countrystringparcel_idstringfacility_idstringfacility_namestringfacility_citystringfacility_statestringarrival_datetimedatetimedeparture_datetimedatetimeprocessing_duration_minutesintegerparcel_width_cmfloatparcel_height_cmfloatparcel_weight_kgfloatdestination_citystringdestination_statestringdestination_countrystringnext_facility_idstringoperator_idstringnotesstringexception_reasonstring
REC001forwarded36.5falseUSAPKG2024001FAC1001Northeast Regional HubNewarkNJ2024-06-01T07:20:00Z2024-06-01T08:45:00Z8522.415.73.2BostonMAUSAFAC1005OP1234Standard processing, no issues reported.blank
REC002out_for_delivery42falseUSAPKG2024002FAC1002Atlanta Metro Sort CenterAtlantaGA2024-06-01T10:30:00Z2024-06-01T12:05:00Z9528164.1CharlotteNCUSAblankOP1101Express parcel, prioritized for early dispatch.blank
REC003forwarded55.5falseGermanyPKG2024INT1FACDE01Frankfurt International HubFrankfurtHE2024-06-01T04:00:00Z2024-06-01T13:00:00Z54038.722.39.8TokyoTokyoJapanFACJP01OP9001International shipment, cleared for customs.blank
REC004forwarded39.2falseUSAPKG2024004FAC1003Southwest Regional SortDallasTX2024-06-01T14:15:00Z2024-06-01T16:05:00Z1103018.54.7HoustonTXUSAFAC1007OP1352Standard processing, no delays observed.blank
REC005forwarded22falseUSAPKG2024005FAC1004Great Lakes HubChicagoIL2024-06-01T06:00:00Z2024-06-01T06:45:00Z4512.581.1DetroitMIUSAFAC1008OP1198Standard parcel, direct routing.blank
REC006held32.2trueUSAPKG2024RET1FAC1010Seattle Returns CenterSeattleWA2024-06-01T09:50:00Zblankblank1911.52.7blankblankblankblankOP1222Awaiting customer instruction before further processing.Return shipment pending customer confirmation.
REC007out_for_delivery21.5falseUSAPKG2024006FAC1005Boston Metro SortBostonMA2024-06-01T12:10:00Z2024-06-01T13:30:00Z801070.9ProvidenceRIUSAblankOP1234Final delivery stage.blank
REC008held162.5trueUSAPKG2024007FAC1006Denver Central HubDenverCO2024-06-01T21:00:00Zblankblank8060120Salt Lake CityUTUSAblankOP1407Requires special handling due to size.Oversized parcel, pending manual inspection.

What the 200 rows show

from the 200-row sample

Held (routing decision) stands out: 28 of its 28 rows have exception_flag = true, against 10 of 172 for the rest.

  • 19%exception_flag = true
  • 32.2median parcel_length_cm
  • 7destination countries
  • 45destination states
  • 46facility states
  • 87median processing_duration_minutes
Exception flag rate by routing_decisionexception_flag = true
0%50%100%0%forwar…0 of 78100%held28 of 2825%return…1 of 40%out_fo…0 of 81100%other9 of 9
parcel_length_cm200 rows, in bands of 50
08517016191980210200350parcel_length_cm →

Median 32.2, from 0.0 to 350.0.

facility_country199 rows with a value · 1 left blank
  1. USA176
  2. UK5
  3. Germany4
  4. Canada4
  5. France4
  6. NowhereLand3
  7. Japan3
23 columns by typefrom the column list below
  • string 15
  • integer 1
  • float 4
  • datetime 2
  • boolean 1

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 15 columns
record_idstringUnique identifier for each parcel sorting recorduniqueREC001
parcel_idstringUnique identifier for the parcel being sortedPKG2024001
facility_idstringIdentifier for the sorting facility processing the parcelFAC1001
facility_namestringName of the sorting facilityoptionalNortheast Regional Hub
facility_citystringCity where the sorting facility is locatedoptionalNewark
facility_statestringState or region of the sorting facilityoptionalNJ
facility_countrystringCountry of the sorting facility7 countries · optionalUSA
destination_citystringDestination city for the parceloptionalBoston
destination_statestringDestination state or region for the parceloptionalMA
destination_countrystringDestination country for the parcel7 countries · optionalUSA
routing_decisionstringRouting decision taken for the parcel at this facility (e.g., next facility, direct delivery, hold)forwarded · held · returned · out_for_delivery · otherforwarded
next_facility_idstringIdentifier for the next facility in the routing path, if applicableoptionalFAC1005
operator_idstringIdentifier for the operator or system that processed the parceloptionalOP1234
exception_reasonstringDescription of the exception, if anyoptionalReturn shipment pending c…
notesstringAdditional notes or comments regarding the parcel or sorting processoptionalFinal delivery stage.
Numbers 5 columns
processing_duration_minutesintegerTotal time in minutes the parcel spent at the facility0 or more · optional85
parcel_length_cmfloatLength of the parcel in centimeters0 or more36.5
parcel_width_cmfloatWidth of the parcel in centimeters0 or more22.4
parcel_height_cmfloatHeight of the parcel in centimeters0 or more15.7
parcel_weight_kgfloatWeight of the parcel in kilograms0 or more3.2
Dates and times 2 columns
arrival_datetimedatetimeDate and time when the parcel arrived at the facility2024-06-01T07:20:00Z
departure_datetimedatetimeDate and time when the parcel left the facilityoptional2024-06-01T08:45:00Z
True or false 1 column
exception_flagbooleanIndicates if an exception occurred during sorting (e.g., damage, address issue)false

Use it for

  • exception flag19%38 of 200 rowsmean parcel length cm…40.8forw…137.1held37.8retu…30.6out_…

    A logistics dashboard

    The exception_flag rate, parcel_length_cm by routing_decision and a breakdown of facility_country. Excel, Power BI or Tableau.

  • Why do 38 of 200 rows have exception_flag = true?

    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 records with parcel_id, facility_id and facility_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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

blueprint · parcel-sorting-facility-records

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 parcel has facility and timestamp
  • Include measured weight, dimensions, and routing outcome
  • Flag handling exceptions
  • No sender/recipient info
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
parcel-sorting-facility-records

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