Ethical Supplier Audit Trail

This dataset provides a detailed audit trail of supplier sourcing practices in e-commerce, focusing on ethical standards, compliance, and risk mitigation. It enables operational managers to track supplier performance over time, identify vulnerabilities, and reinforce supply chain sustainability through comprehensive scoring and risk flagging. The dataset is ideal for compliance monitoring, supplier risk assessment, and sustainability reporting.

  • last updated 17 Dec 2025
  • by GoMask
The brief that made it

Supplier risk assessment and monitoring

Sample rows

preview · 8 of 65 rows · all 22 columns
audit_idstringcompliance_statusstringethical_scorefloatcorrective_action_requiredbooleanauditor_namestringsupplier_idstringsupplier_namestringsupplier_contact_namestringsupplier_contact_emailstringsupplier_phonestringsupplier_address_streetstringsupplier_address_citystringsupplier_address_statestringsupplier_address_postal_codestringsupplier_address_countrystringaudit_datedaterisk_levelstringrisk_flagsstringcorrective_action_deadlinedatefollow_up_audit_datedatelast_updateddatetimeaudit_notesstring
AUD1001compliant92.4falseDavid FletcherSUP501GreenLeaf TextilesAsha Kumarasha.kumar@greenleaftex.com+91-987654321022 Sarovar LaneMumbaiMaharashtra400001India2024-02-18lowblankblankblank2024-02-19T10:23:04Excellent documentation and worker conditions.
AUD1002under-review76.8truePriyanka SharmaSUP502SolarNova ElectronicsMiguel Torresmtorres@solarnova.com+34-612345678Calle Mayor 15MadridMadrid28013Spain2023-12-05mediumwaste-management2024-01-152024-03-102023-12-06T14:12:37Needs improvement on waste disposal policies.
AUD1003compliant89.1falseSamuel LeeSUP503EcoHarvest ProduceLinda Wanglwang@ecoharvest.com+1-415-555-9820420 Market StSan FranciscoCA94111USA2024-03-02lowblankblankblank2024-03-02T17:41:22Sustainable sourcing verified.
AUD1004non-compliant58.6trueDavid FletcherSUP504Unity GarmentsFatima El-Sayedfatima.e@unitygarments.com+20-112233445512 Ramses StCairoCairo11511Egypt2023-11-21highunsafe-conditions,wage-violations2023-12-152024-01-282023-11-22T09:03:51Worker safety measures inadequate.
AUD1005compliant82.7falsePriyanka SharmaSUP505PureStream WaterElena Petrovelena.petrov@purestream.eu+7-495-123456745 Volgogradsky AveMoscowMoscow109316Russia2024-01-10mediumwater-usageblank2024-05-102024-01-10T16:02:16Water usage above average, but compliant.
AUD1006non-compliant47.9trueSamuel LeeSUP506BioRoots ChemicalsJorge Mendesjmendes@bioroots.com+55-21-99887766Av. Brasil 2020Rio de JaneiroRJ20940-070Brazil2024-03-18criticalchemical-leak,unsafe-conditions2024-04-012024-07-102024-03-18T18:33:49Chemical leak reported; urgent action needed.
AUD1007pending73.5falseDavid FletcherSUP507Sunrise PlasticsChen Weichen.wei@sunplast.cn+86-21-76543210320 Pudong AveShanghaiShanghai200120China2024-02-03mediumplastic-wasteblank2024-04-032024-02-03T12:14:22Pending review of plastic disposal process.
AUD1008non-compliant34.2truePriyanka SharmaSUP508CobaltLink MiningJean-Pierre Mumbajp.mumba@cobaltlink.cd+243-820123456Route Nationale 1LubumbashiKatanga24320DR Congo2023-10-30criticalchild-labor,unsafe-conditions2023-11-202024-02-152023-10-31T08:50:10Child labor observed; immediate action required.

What the 65 rows show

from the 65-row sample

Non-compliant (compliance status) stands out: mean ethical_score is 56.5, against 81.4 for the rest.

  • 40%corrective_action_required = true
  • 79.3median ethical_score
  • 4risk levels
Mean ethical_score by compliance_status65 rows
05010086.8compliant32 rows56.5non-comp…12 rows72.6pending13 rows73.9under-re…8 rows
ethical_score65 rows, in bands of 10
015300001241018228050100ethical_score →

Median 79.3, from 34.2 to 97.1.

auditor_name65 rows · 8 values
  1. Samuel Lee12
  2. Priyanka Sharma11
  3. David Fletcher10
  4. Jayden Miller7
  5. Rita Singh7
  6. Martin Black6
  7. Tina Lin6
  8. Sophie Chan6
22 columns by typefrom the column list below
  • string 16
  • float 1
  • date 3
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 16 columns
audit_idstringUnique identifier for each supplier audit recorduniqueAUD1001
supplier_idstringUnique identifier for each supplierSUP501
supplier_namestringRegistered name of the supplierGreenLeaf Textiles
supplier_contact_namestringPrimary contact person at the supplieroptionalAsha Kumar
supplier_contact_emailstringEmail address of the supplier contactoptionalmtorres@solarnova.com
supplier_phonestringPhone number of the supplier contactoptional+91-9876543210
supplier_address_streetstringStreet address of the supplieroptional22 Sarovar Lane
supplier_address_citystringCity of the supplier's addressoptionalMumbai
supplier_address_statestringState or region of the supplier's addressoptionalMaharashtra
supplier_address_postal_codestringPostal code of the supplier's addressoptional400001
supplier_address_countrystringCountry of the supplier's addressoptionalIndia
auditor_namestringName of the person who performed the audit8 namesDavid Fletcher
compliance_statusstringCompliance status based on audit findingscompliant · non-compliant · pending · under-reviewcompliant
risk_levelstringRisk level assigned to the supplier after auditlow · medium · high · criticallow
risk_flagsstringComma-separated list of risk flags identified during the audit (e.g., 'child-labor,unsafe-conditions')optionalwaste-management
audit_notesstringDetailed notes and observations from the auditoptionalExcellent documentation a…
Numbers 1 column
ethical_scorefloatOverall ethical compliance score for the supplier (0-100)0 to 10092.4
Dates and times 4 columns
audit_datedateDate when the audit was conducted2024-02-18
corrective_action_deadlinedateDeadline for the supplier to complete corrective actions (if required)optional2024-01-15
follow_up_audit_datedateScheduled date for a follow-up audit (if applicable)optional2024-03-10
last_updateddatetimeTimestamp when the audit record was last updated2024-02-19T10:23:04
True or false 1 column
corrective_action_requiredbooleanIndicates if corrective action is required for the supplierfalse

Use it for

  • corrective act…40%26 of 65 rowsmean ethical score by…86.8comp…56.5non-…72.6pend…73.9unde…

    An e-commerce dashboard

    The corrective_action_required rate, ethical_score by compliance_status and a breakdown of auditor_name. Excel, Power BI or Tableau.

  • Why do the 12 non-compliant rows have a mean ethical_score of 56.5?

    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 audits with supplier_id, supplier_name and supplier_contact_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

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This dataset65 rows22 columns
Yours1,000 rows22 columnssupplier_address_street: UK only

blueprint · ethical-supplier-audit-trail

Behind this dataset

Same schema. As many rows as you need.

These 65 rows came out of a blueprint — 22 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 supplier must have a unique audit ID.
  • Audit entries record date, compliance score, and risk level.
  • Suppliers flagged for violations require remediation actions logged.
  • Ethical scores are recalculated after each completed audit.
  • Suppliers with consecutive low scores are marked for review.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
ethical-supplier-audit-trail

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