Logistics Carrier Performance Metrics
This dataset provides granular performance metrics for logistics carriers, including delivery speed, reliability, cost, and customer satisfaction across specific routes and shipment types. It enables logistics firms to benchmark carriers, optimize supply chain decisions, and negotiate better contracts based on historical performance data.
Sample rows
preview · 8 of 200 rows · all 20 columns| carrier_idstring | shipment_typestring | delivery_time_stddev_daysfloat | carrier_namestring | report_datedate | origin_citystring | origin_statestring | origin_countrystring | destination_citystring | destination_statestring | destination_countrystring | total_shipmentsinteger | on_time_deliveriesinteger | late_deliveriesinteger | average_delivery_time_daysfloat | average_cost_per_shipmentfloat | currencystring | damaged_shipmentsinteger | lost_shipmentsinteger | customer_satisfaction_scorefloat |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| C001 | standard | 1.6 | Swift Horizon Freight | 2024-06-03 | Los Angeles | CA | USA | Houston | TX | USA | 312 | 288 | 24 | 4.7 | 89.5 | USD | 2 | 0 | 4.5 |
| C002 | express | 0.5 | Global Express Lines | 2024-05-25 | Toronto | ON | CAN | Vancouver | BC | CAN | 105 | 102 | 3 | 2.1 | 81.2 | CAD | 0 | 0 | 4.7 |
| C003 | standard | 1.4 | Atlantic Rapid Cargo | 2024-06-12 | London | ENG | GBR | Manchester | ENG | GBR | 275 | 246 | 29 | 3.9 | 66.8 | GBP | 1 | 0 | 4.3 |
| C004 | overnight | 0.3 | Pacific Air Logistics | 2024-06-02 | Tokyo | 13 | JPN | Osaka | 27 | JPN | 11 | 10 | 1 | 1.2 | 121.7 | JPY | 0 | 0 | 4.2 |
| C005 | standard | 1.7 | Northern Star Transport | 2024-05-21 | Stockholm | AB | SWE | Gothenburg | O | SWE | 298 | 265 | 33 | 5.1 | 77.3 | SEK | 2 | 1 | 4 |
| C006 | express | 0.6 | Emerald Coast Couriers | 2024-06-09 | Dublin | L | IRL | Cork | C | IRL | 47 | 44 | 3 | 1.7 | 75.6 | EUR | 1 | 0 | 4.1 |
| C007 | overnight | blank | Alpine Freight Group | 2024-04-17 | Zurich | ZH | CHE | Geneva | GE | CHE | 4 | 4 | 0 | 0.9 | 205.8 | CHF | 0 | 0 | 5 |
| C008 | express | 0.5 | TransAsia Connect | 2024-06-05 | Shanghai | SH | CHN | Beijing | BJ | CHN | 119 | 115 | 4 | 2 | 62.5 | CNY | 0 | 0 | 4.6 |
| C009 | standard | 1.2 | Liberty Logistics Network | 2024-06-08 | New York | NY | USA | Chicago | IL | USA | 402 | 380 | 22 | 3.2 | 99.9 | USD | 3 | 1 | 4.7 |
| C010 | overnight | 0.2 | Baltic Sea Shipping | 2024-05-14 | Tallinn | 37 | EST | Riga | LV | LVA | 13 | 11 | 2 | 1.4 | 140.1 | EUR | 0 | 0 | 4.4 |
| C011 | standard | 2.1 | Andean Summit Freight | 2024-06-11 | Lima | LMA | PER | Quito | P | ECU | 24 | 21 | 3 | 7.6 | 112.9 | PEN | 1 | 0 | 3.8 |
| C012 | standard | 1.5 | Gulf Coast Movers | 2024-06-06 | Miami | FL | USA | Atlanta | GA | USA | 415 | 393 | 22 | 4.2 | 77.9 | USD | 1 | 0 | 4.8 |
| C013 | express | 0.6 | Sahara Desert Logistics | 2024-06-04 | Cairo | C | EGY | Tunis | TN | TUN | 61 | 52 | 9 | 2.3 | 63.7 | EGP | 2 | 0 | 3.9 |
| C014 | standard | blank | Nordic Ice Carriers | 2024-05-29 | Reykjavik | IS | ISL | Akureyri | IS | ISL | 7 | 7 | 0 | 9 | 310.2 | ISK | 1 | 0 | 4.8 |
| C015 | standard | blank | Amazonian River Cargo | 2024-06-10 | Manaus | AM | BRA | Belem | PA | BRA | 5 | 5 | 0 | 8.2 | 421.3 | BRL | 0 | 0 | 5 |
| C016 | express | 0.4 | Mediterranean Cargo Lines | 2024-05-28 | Rome | RM | ITA | Naples | NA | ITA | 87 | 81 | 6 | 1.5 | 59.8 | EUR | 0 | 0 | 4.4 |
| C017 | overnight | blank | Caspian Transport Co | 2024-06-13 | Baku | BA | AZE | Tehran | TEH | IRN | 2 | 2 | 0 | 1 | 170.4 | IRR | 0 | 0 | 5 |
| C018 | standard | 1.9 | Outback Express Freight | 2024-06-07 | Sydney | NSW | AUS | Melbourne | VIC | AUS | 271 | 258 | 13 | 5.8 | 96.1 | AUD | 1 | 0 | 4.2 |
| C019 | express | 0.4 | Peninsula Parcel Service | 2024-05-31 | Lisbon | LX | PRT | Porto | PT | PRT | 44 | 43 | 1 | 1.3 | 57.7 | EUR | 0 | 0 | 4.5 |
| C020 | standard | 1.6 | Eastern Gateway Freight | 2024-06-01 | Warsaw | MZ | POL | Krakow | MA | POL | 319 | 291 | 28 | 3.6 | 68.4 | PLN | 2 | 0 | 4.4 |
What the 200 rows show
from the 200-row sampleStandard (shipment type) stands out: mean delivery_
- 0.60median delivery_
time_ stddev_ days - 50currencies
- 56.5median total_
shipments - 52median on_
time_ deliveries - 3.5median late_
deliveries - 2.2median average_
delivery_ time_ days
Median 0.60, from 0.10 to 2.2.
- string 10
- integer 5
- float 4
- date 1
Columns
20 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
carrier_id | string | Unique identifier for the logistics carrierunique | C001 |
carrier_name | string | Official name of the logistics carrier | Swift Horizon Freight |
origin_city | string | City from which the shipment originated | Los Angeles |
origin_state | string | State from which the shipment originated | CA |
origin_country | string | Country from which the shipment originated | USA |
destination_city | string | City to which the shipment was delivered | Houston |
destination_state | string | State to which the shipment was delivered | TX |
destination_country | string | Country to which the shipment was delivered | USA |
shipment_type | string | Type of shipment (e.g., standard, express, overnight)standard · express · overnight | standard |
currency | string | Currency code for cost values (ISO 4217 format, e.g., USD, EUR) | USD |
| Numbers 9 columns | |||
total_shipments | integer | Total number of shipments in the reporting period for this route and carrier0 or more | 312 |
on_time_deliveries | integer | Number of shipments delivered on or before the promised date0 or more | 288 |
late_deliveries | integer | Number of shipments delivered after the promised date0 or more | 24 |
average_delivery_time_days | float | Average delivery time in days for shipments in this route and period0 or more | 4.7 |
delivery_time_stddev_days | float | Standard deviation of delivery times in days for shipments in this route and period0 or more · optional | 1.6 |
average_cost_per_shipment | float | Average cost per shipment for this route and carrier in the reporting period0 or more | 89.5 |
damaged_shipments | integer | Number of shipments reported as damaged upon delivery0 or more · optional | 2 |
lost_shipments | integer | Number of shipments reported as lost or undelivered0 or more · optional | 0 |
customer_satisfaction_score | float | Average customer satisfaction score for this carrier and route (scale 1-5)1 to 5 · optional | 4.5 |
| Dates and times 1 column | |||
report_date | date | Date when the performance metrics were recorded | 2024-06-03 |
Use it for
A logistics dashboard
Delivery_
time_ stddev_ days by shipment_ type. Excel, Power BI or Tableau. Why do the 67 standard rows have a mean delivery_
time_ stddev_ days of 1.5? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Carriers200C0011.6standardC0020.5expressC0031.4standard
A software demo
Believable carriers with carrier_
name, report_ date and origin_ city to fill a screen in front of a buyer.
This dataset200 rows20 columns
Yours1,000 rows20 columnsorigin_city: UK only
blueprint · logistics-carrier-performance-metrics
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 20 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
- Track performance by carrier
- Segment by delivery type
- Include cost per shipment
- Flag service failures
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- logistics-carrier-performance-metrics