Third-Party Logistics Vendor Scores

This dataset provides a comprehensive evaluation of third-party logistics vendors, including detailed scoring on reliability, delivery timeliness, and cost, along with contact and operational information. It enables organizations to compare and optimize their logistics partnerships based on objective, time-bound performance metrics. The dataset supports vendor selection, performance monitoring, and supply chain optimization initiatives.

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

Selecting and onboarding the most reliable and cost-effective logistics partners

Sample rows

preview · 8 of 200 rows · all 21 columns
vendor_idstringreliability_scorefloatis_preferred_vendorbooleanvendor_namestringcontact_personstringcontact_emailstringcontact_phonestringaddress_streetstringaddress_citystringaddress_statestringaddress_postal_codestringaddress_countrystringservice_regionstringdelivery_timeliness_scorefloatcost_scorefloatoverall_scorefloatnumber_of_shipmentsintegerevaluation_period_startdateevaluation_period_enddatecommentsstringlast_updateddatetime
VND000018.9trueTransGlobe Logistics LLCEmily Cartere.carter@transglobe.com+1-312-555-1034102 Market StChicagoIL60606USAMidwest USA9.28.78.922102023-01-012023-12-31Consistently reliable, preferred for high-volume Midwest routes.2024-01-05T12:30:12
VND000026.1falseArctic Freight SolutionsJohan Lindgrenj.lindgren@arcticfreight.se+46-8-445-321719 FjällgatanStockholmblank11628SwedenNordic Countries7.36.76.74862023-02-012023-12-01Strong performance in winter; cost slightly above average.2024-01-07T09:15:41
VND000039.3trueBluePeak Logistics GmbHThomas Müllert.mueller@bluepeak.de+49-69-1200-6789Berliner Allee 45FrankfurtHE60313GermanyCentral Europe8.88.18.715202023-01-152023-12-15Preferred for international shipments in EU.2024-01-10T14:44:55
VND000048.6truePacific Express Ltd.Hiroshi Yamadah.yamada@pacificexpress.jp+81-3-3344-01022-8-1 ShinjukuTokyoblank160-0022JapanGreater Tokyo Area9.17.78.513252023-03-012023-12-31Excellent for urban deliveries; competitive on price.2024-01-04T11:10:30
VND000056.7falsePorto Cargo ServicesLuisa Silval.silva@portocargo.pt+351-22-445-9900Av. da Boavista 1234Portoblank4100-130PortugalIberian Peninsula6.26.96.64142023-06-012023-12-01Satisfactory but room for improvement in timeliness.2023-12-03T15:18:39
VND000067.2falseGreat Lakes ForwardingJames Wilsonj.wilson@glforward.com+1-313-555-2044500 Woodward AveDetroitMI48226USAGreat Lakes7.777.38502023-04-102023-12-10Regional specialist, solid performance.2023-12-15T17:22:06
VND000078.1trueEmerald Isle HaulageAoife Murphya.murphy@emeraldisle.ie+353-1-620-098712 St Stephen's GreenDublinblankD02 X285IrelandIreland, Northern Ireland7.88.38.19652023-01-202023-12-20High satisfaction among Irish clients.2024-01-02T10:55:41
VND000084.8falseSydney Freightways Pty LtdN/Ablankblank55 George StSydneyNSW2000AustraliaNew South Wales5.15.65.21762023-08-012023-12-01Delays reported in Q3; improved later.2023-12-02T13:05:11

What the 200 rows show

from the 200-row sample
  • 39%is_preferred_vendor = true
  • 7.0median reliability_score
  • 7.0median delivery_timeliness_score
  • 6.8median cost_score
  • 6.9median overall_score
  • 505median number_of_shipments
reliability_score200 rows, in bands of 1
0255027015818374744130510reliability_score →

Median 7.0, from 0.0 to 9.5.

21 columns by typefrom the column list below
  • string 12
  • integer 1
  • float 4
  • date 2
  • datetime 1
  • boolean 1

Columns

21 columns in four groups
blueprint · 21 columns
columntypedescriptionexample
Text 12 columns
vendor_idstringUnique identifier for the logistics vendoruniqueVND00001
vendor_namestringFull legal name of the logistics vendorTransGlobe Logistics LLC
contact_personstringPrimary contact person at the vendor organizationoptionalEmily Carter
contact_emailstringEmail address of the primary contact personoptionale.carter@transglobe.com
contact_phonestringPhone number of the primary contact personoptional+1-312-555-1034
address_streetstringStreet address of the vendor's main officeoptional102 Market St
address_citystringCity where the vendor's main office is locatedoptionalChicago
address_statestringState or province of the vendor's main officeoptionalIL
address_postal_codestringPostal or ZIP code of the vendor's main officeoptional60606
address_countrystringCountry where the vendor's main office is locatedoptionalUSA
service_regionstringPrimary geographic region(s) served by the vendoroptionalMidwest USA
commentsstringAdditional evaluator comments or notes about the vendoroptionalReliable for CEE routes.
Numbers 5 columns
reliability_scorefloatVendor's reliability score (0.0 to 10.0), based on historical performance0 to 108.9
delivery_timeliness_scorefloatScore (0.0 to 10.0) indicating the vendor's on-time delivery performance0 to 109.2
cost_scorefloatScore (0.0 to 10.0) reflecting the vendor's cost competitiveness0 to 108.7
overall_scorefloatWeighted or average overall score for the vendor (0.0 to 10.0)0 to 108.9
number_of_shipmentsintegerTotal number of shipments handled by the vendor in the evaluation period0 or more · optional2210
Dates and times 3 columns
evaluation_period_startdateStart date of the evaluation period for the scores2023-01-01
evaluation_period_enddateEnd date of the evaluation period for the scores2023-12-31
last_updateddatetimeTimestamp of the last update to this vendor's evaluation record2024-01-05T12:30:12
True or false 1 column
is_preferred_vendorbooleanIndicates if the vendor is currently a preferred partneroptionaltrue

Use it for

  • is preferred v…39%77 of 200 rows

    A logistics dashboard

    The is_preferred_vendor rate and reliability_score. Excel, Power BI or Tableau.

  • Why do 77 of 200 rows have is_preferred_vendor = true?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 200 rows.

  • A software demo

    Believable vendors with vendor_name, contact_person and contact_email to fill a screen in front of a buyer.

Not quite right?

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This dataset200 rows21 columns
Yours1,000 rows21 columnsaddress_street: UK only

blueprint · third-party-logistics-vendor-scores

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 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
  • Vendor ID, contract type, and service region included.
  • Performance scores calculated monthly.
  • Complaint and escalation rates tracked.
  • Record per vendor per evaluation period.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
third-party-logistics-vendor-scores

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