Government Procurement Logistics Tracker

This dataset provides a comprehensive view of government procurement logistics, tracking digital shipments, delivery timelines, and supplier performance across agencies. It enables operational teams to monitor compliance, identify delays and bottlenecks, and optimize supply chain resilience for public sector logistics management.

  • last updated 21 Dec 2025
  • by GoMask
The brief that made it

Monitor and improve on-time delivery rates for government procurement shipments

Sample rows

preview · 8 of 85 rows · all 31 columns
shipment_idstringcarrier_namestringsupplier_performance_scorefloatis_hazardousbooleansupplier_idstringagency_idstringagency_namestringsupplier_namestringshipment_statusstringexpected_delivery_datedateactual_delivery_datedateshipment_created_datedateorigin_street_addressstringorigin_citystringorigin_statestringorigin_postal_codestringorigin_countrystringdestination_street_addressstringdestination_citystringdestination_statestringdestination_postal_codestringdestination_countrystringshipment_weight_kgfloatshipment_volume_m3floatitem_countintegershipment_value_usdfloatdelivery_delay_daysintegerdelay_reasonstringtracking_numberstringcompliance_flagbooleannotesstring
SHIP-10001FedEx92.5falseSUP-3001AGY-2001Department of Public HealthNorthstar Logisticsdelivered2024-05-142024-05-152024-05-081200 Market StSt. LouisMO63103USA500 State AveKansas CityKS66101USA1450.25.74432400.251Carrier scheduling issueFX123456789UStrueDelivered 1 day late, no damage.
SHIP-10002UPS87falseSUP-3002AGY-2002General Services AgencyBlue Ridge Supplyin_transit2024-06-11blank2024-06-02344 Pine StCharlotteNC28202USA1800 Capitol AveSacramentoCA95814USA740.53.11911000blankblank1Z999AA10123456784trueOn track for on-time delivery.
SHIP-10003blank79.3falseSUP-3003AGY-2003Department of TransportationAtlas Industrialpending2024-07-02blank2024-06-2777 Industrial WayToledoOH43604USA400 Main StClevelandOH44114USA210010.26048300blankblankblankblankOrder created, pickup scheduled.
SHIP-10004DHL95.2trueSUP-3004AGY-2004Emergency Management AgencyHorizon Freightdelivered2024-05-202024-05-202024-05-14909 Elm AveMemphisTN38103USA333 River RdLittle RockAR72201USA256.81.2954000blankDHL0001223344trueHazardous material, all compliance checks passed.
SHIP-10005FedEx68.5falseSUP-3002AGY-2003Department of TransportationBlue Ridge Supplydelayed2024-04-25blank2024-04-17233 Commerce BlvdNashvilleTN37219USA1000 5th AveCharlotteNC28202USA9804.427172003Flooded roadwaysFX2233445566falseDelivery delayed due to severe weather.
SHIP-10006blank0falseSUP-3005AGY-2005Infrastructure and Roads AdminWestern Equipmentcancelled2024-06-01blank2024-05-251674 Granite StDenverCO80202USA89 Capitol BlvdBoiseID83702USA0010blankblankblankblankShipment cancelled by agency.
SHIP-10007blank81.9falseSUP-3006AGY-2006State IT ServicesUnited Tech Vendorspending2024-07-14blank2024-07-02701 Innovation DrSan JoseCA95134USA650 State StSalemOR97301USA340.41.41613350.7blankblankblankblankAwaiting pickup confirmation.
SHIP-10008UPS90.3falseSUP-3001AGY-2004Emergency Management AgencyNorthstar Logisticsdelivered2024-06-102024-06-092024-06-03456 River RdCincinnatiOH45202USA320 Liberty StColumbusOH43215USA899.92.923189000blank1Z999AA10123456785trueDelivered ahead of schedule.

What the 85 rows show

from the 85-row sample

UPS (carrier name) stands out: mean supplier_performance_score is 81.7, against 88.2 for the rest.

  • 20%is_hazardous = true
  • 87.6median supplier_performance_score
  • 5shipment statuses
  • 190.0median shipment_weight_kg
  • 1.1median shipment_volume_m3
  • 14median item_count
Mean supplier_performance_score by carrier_name64 rows
05010086.7FedEx19 rows81.7UPS17 rows89.7DHL15 rows90.4Yellow…7 rows86.2USPS6 rows
supplier_performance_score85 rows, in bands of 10
020402000003133532050100supplier_performance_score →

Median 87.6, from 0.0 to 99.2.

supplier_id85 rows · top 10 of 35 values
  1. SUP1025
  2. SUP1145
  3. SUP-30014
  4. SUP-30034
  5. SUP-30094
  6. SUP-30104
  7. SUP-30124
  8. SUP1184
  9. SUP1014
  10. SUP-30023
31 columns by typefrom the column list below
  • string 20
  • integer 2
  • float 4
  • date 3
  • boolean 2

Columns

31 columns in four groups
blueprint · 31 columns
columntypedescriptionexample
Text 20 columns
shipment_idstringUnique identifier for each procurement shipmentuniqueSHIP-10001
agency_idstringUnique identifier for the government agency receiving the shipmentAGY-2001
agency_namestringFull name of the government agencyGeneral Services Agency
supplier_idstringUnique identifier for the supplier or vendorSUP-3001
supplier_namestringName of the supplier or vendorNorthstar Logistics
shipment_statusstringCurrent status of the shipmentpending · in_transit · delivered · delayed · cancelleddelivered
origin_street_addressstringStreet address of the shipment's origin1200 Market St
origin_citystringCity of the shipment's originSt. Louis
origin_statestringState or province of the shipment's originMO
origin_postal_codestringPostal code of the shipment's origin63103
origin_countrystringCountry of the shipment's originUSA
destination_street_addressstringStreet address of the shipment's destination500 State Ave
destination_citystringCity of the shipment's destinationKansas City
destination_statestringState or province of the shipment's destinationKS
destination_postal_codestringPostal code of the shipment's destination66101
destination_countrystringCountry of the shipment's destinationUSA
delay_reasonstringReason for delivery delay, if applicableoptionalCarrier scheduling issue
carrier_namestringName of the logistics carrier or shipping company5 names · optionalFedEx
tracking_numberstringCarrier-provided tracking number for the shipmentoptionalFX123456789US
notesstringAdditional notes or comments about the shipmentoptionalCarrier truck breakdown.
Numbers 6 columns
shipment_weight_kgfloatTotal weight of the shipment in kilograms0 or more · optional1450.2
shipment_volume_m3floatTotal volume of the shipment in cubic meters0 or more · optional5.7
item_countintegerNumber of items in the shipment1 or more · optional44
shipment_value_usdfloatTotal monetary value of the shipment in USD0 or more · optional32400.25
delivery_delay_daysintegerNumber of days the delivery was delayed (0 if on time, null if not delivered)0 or more · optional1
supplier_performance_scorefloatPerformance score for the supplier (0-100 scale)0 to 100 · optional92.5
Dates and times 3 columns
expected_delivery_datedateDate the shipment is expected to be delivered2024-05-14
actual_delivery_datedateDate the shipment was actually delivered (null if not yet delivered)optional2024-05-15
shipment_created_datedateDate when the shipment was created or ordered2024-05-08
True or false 2 columns
is_hazardousbooleanIndicates if the shipment contains hazardous materialsoptionalfalse
compliance_flagbooleanIndicates if the shipment met all compliance requirementsoptionaltrue

Use it for

  • is hazardous20%17 of 85 rowsmean supplier perform…86.7FedEx81.7UPS89.7DHL90.4Yell…

    A logistics dashboard

    The is_hazardous rate, supplier_performance_score by carrier_name and a breakdown of supplier_id. Excel, Power BI or Tableau.

  • Why do the 17 UPS rows have a mean supplier_performance_score of 81.7?

    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 shipments with agency_id, agency_name and supplier_id to fill a screen in front of a buyer.

Not quite right?

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This dataset85 rows31 columns
Yours1,000 rows31 columnsorigin_street_address: UK only

blueprint · government-procurement-logistics-tracker

Behind this dataset

Same schema. As many rows as you need.

These 85 rows came out of a blueprint — 31 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 row tracks a single procurement shipment for a specific agency.
  • Shipment status must be one of: In Transit, Delivered, Delayed, Cancelled.
  • Include supplier compliance score (0-100) based on delivery performance.
  • Flag shipments delayed beyond contractual SLA.
  • Capture critical items category (e.g., medical, IT, infrastructure) for each shipment.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
government-procurement-logistics-tracker

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