AI Supplier Risk Scoring Data
This dataset provides AI-driven risk scoring for suppliers, including financial, ESG, and disruption indicators, enabling procurement and supply chain managers to assess and monitor supplier risk in real time. It supports smarter sourcing decisions, proactive risk mitigation, and enhanced supply chain resilience through comprehensive, up-to-date risk profiles.
Sample rows
preview · 8 of 65 rows · all 16 columns| supplier_idstring | risk_levelstring | overall_risk_scorefloat | active_supplierboolean | industrystring | supplier_namestring | countrystring | regionstring | contact_emailstring | financial_scorefloat | esg_scorefloat | disruption_scorefloat | last_evaluateddatetime | financial_notesstring | esg_notesstring | disruption_notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SUP-001 | Low | 86.7 | true | Manufacturing | Apex Materials Ltd. | United States | North America | contact@ | 87.2 | 92.4 | 80.6 | 2024-05-16T14:42:10Z | Consistent revenue growth, strong liquidity. | Rated highly for sustainable practices. | Low supply chain volatility. |
| SUP-002 | Medium | 74.1 | true | Chemicals | GlobalChem S.A. | Brazil | LATAM | info@ | 69.8 | 75.1 | 77.3 | 2024-04-21T09:03:17Z | Moderate leverage, stable cash flow. | Improving carbon footprint. | Recent logistics delays. |
| SUP-003 | Low | 92.1 | true | Technology | GreenTech Solutions | Germany | EMEA | sales@ | 94.1 | 88.9 | 93.2 | 2024-06-02T11:55:44Z | Exceptional profitability. | ISO 14001 certified. | Strong supplier network. |
| SUP-004 | High | 53.5 | false | Textiles | Sunrise Textiles | India | APAC | contact@ | 55.4 | 41.2 | 63.8 | 2024-05-10T19:27:13Z | Thin operating margins. | Room for improvement in labor standards. | Seasonal disruptions observed. |
| SUP-005 | Medium | 78.3 | true | Logistics | Meridian Logistics | United Kingdom | EMEA | support@ | 80.3 | 68.8 | 85.7 | 2024-05-19T08:12:27Z | Solid balance sheet. | Fleet upgrades underway. | Stable delivery times. |
| SUP-006 | Low | 93 | true | Electronics | Oceanic Electronics | Japan | APAC | contact@ | 91.7 | 96.5 | 90.9 | 2024-06-03T16:16:03Z | High credit rating. | Environmental leader in sector. | Minimal downtime reported. |
| SUP-007 | High | 46.9 | false | Manufacturing | ProSteel Fabricators | Turkey | EMEA | info@ | 37.1 | 55.6 | 48.2 | 2024-04-30T15:45:21Z | Recent losses, restructuring ongoing. | Investing in cleaner production. | Frequent customs delays. |
| SUP-008 | Low | 80.8 | true | Pharmaceuticals | BioPharm Inc. | Canada | North America | contact@ | 83 | 79.5 | 80.1 | 2024-05-28T21:48:42Z | Strong R&D pipeline. | Transparent clinical trial reporting. | No major recalls. |
| SUP-009 | High | 54.3 | false | Mining | EcoMinerals AG | South Africa | EMEA | info@ | 61.2 | 48.7 | 52.9 | 2024-04-18T10:37:56Z | Commodity price risks. | Land restoration program started. | Some labor strikes. |
| SUP-010 | Low | 88.5 | true | Technology | Quantum Data Systems | Singapore | APAC | info@ | 88.9 | 85.2 | 91.5 | 2024-05-30T13:29:15Z | Positive EBITDA trend. | Data privacy compliance. | Cloud migration complete. |
| SUP-011 | Medium | 64.4 | true | Transportation | RapidRail Components | France | EMEA | sales@ | 73.6 | 60.9 | 58.7 | 2024-05-26T15:12:34Z | Stable contracts. | Rail electrification efforts. | Occasional transportation strikes. |
| SUP-012 | High | 44.5 | false | Plastics | Horizon Plastics | China | APAC | info@ | 49.7 | 45.5 | 38.2 | 2024-04-29T20:37:01Z | Debt refinancing planned. | Working on recycling initiatives. | Container shortages. |
| SUP-013 | Medium | 73.8 | true | Food & Beverage | Vantage Foods | Mexico | LATAM | contact@ | 78.5 | 80.7 | 62.3 | 2024-05-24T09:08:59Z | Strong brand recognition. | Adopting organic sourcing. | Recent supply chain interruptions. |
| SUP-014 | High | 57.4 | false | Energy | Nova Energy Corp. | United States | North America | info@ | 59.1 | 67.8 | 45.2 | 2024-05-08T17:41:22Z | Volatile oil prices. | Expanding renewables. | Weather-related outages. |
| SUP-015 | Low | 86.1 | true | Packaging | SmartPack Solutions | Poland | EMEA | sales@ | 86.3 | 83.9 | 88.2 | 2024-06-01T08:05:48Z | Expanding European presence. | Biodegradable product line. | Stable operations. |
| SUP-016 | Medium | 62.4 | true | Manufacturing | PrimeSteel Holdings | South Korea | APAC | info@ | 62.2 | 57.9 | 67.1 | 2024-05-27T18:33:11Z | Strong domestic market. | Improved worker safety program. | Shipping delays reported. |
| SUP-017 | Medium | 74.1 | true | Agriculture | AgriPure Farms | Australia | APAC | contact@ | 71.5 | 73.3 | 77.6 | 2024-05-22T07:18:34Z | Weather impacts on yield. | Water conservation focus. | Long lead times for exports. |
| SUP-018 | Critical | 36.1 | false | Construction | UrbanBuild Ltd. | United Kingdom | EMEA | info@ | 44.7 | 38.9 | 29.8 | 2024-04-24T10:22:15Z | Delayed payments from clients. | Needs improvement in waste management. | Frequent labor shortages. |
| SUP-019 | Low | 87.7 | true | Food & Beverage | FreshWave Foods | United States | North America | info@ | 90.4 | 84.7 | 88.1 | 2024-05-31T12:38:56Z | Strong demand, robust distribution. | Organic certification. | Efficient logistics. |
| SUP-020 | Critical | 35.9 | false | Mining | BluePeak Mining | Chile | LATAM | contact@ | 35.2 | 33.7 | 38.9 | 2024-04-20T06:43:09Z | Low commodity prices. | Community relations under review. | Mine flooding incident. |
What the 65 rows show
from the 65-row sampleLow (risk level) stands out: mean overall_
- 80%active_
supplier = true - 73.8median overall_
risk_ score - 4regions
- 73.2median financial_
score - 72.8median esg_
score - 70.3median disruption_
score
Median 73.8, from 35.0 to 93.7.
- string 10
- float 4
- datetime 1
- boolean 1
Columns
16 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
supplier_id | string | Unique identifier for the supplierunique | SUP-001 |
supplier_name | string | Official name of the supplier company | Apex Materials Ltd. |
industry | string | Industry sector in which the supplier operates | Manufacturing |
country | string | Country where the supplier is headquartered | United States |
region | string | Geographical region of the supplier (e.g., North America, EMEA, APAC)4 regions · optional | North America |
contact_email | string | Primary contact email for the supplieroptional | info@ |
risk_level | string | Categorical risk level based on overall_risk_scoreLow · Medium · High · Critical | Low |
financial_notes | string | Additional notes or comments on financial risk factorsoptional | Thin operating margins. |
esg_notes | string | Additional notes or comments on ESG risk factorsoptional | ISO 14001 certified. |
disruption_notes | string | Additional notes or comments on disruption risk factorsoptional | Recent logistics delays. |
| Numbers 4 columns | |||
financial_score | float | AI-generated financial risk score (0 = high risk, 100 = low risk)0 to 100 | 87.2 |
esg_score | float | AI-generated Environmental, Social, and Governance risk score (0 = high risk, 100 = low risk)0 to 100 | 92.4 |
disruption_score | float | AI-generated risk score for potential supply disruptions (0 = high risk, 100 = low risk)0 to 100 | 80.6 |
overall_risk_score | float | Composite AI-calculated overall risk score (0 = highest risk, 100 = lowest risk)0 to 100 | 86.7 |
| Dates and times 1 column | |||
last_evaluated | datetime | Timestamp of the most recent risk evaluation | 2024-05-16T14:42:10Z |
| True or false 1 column | |||
active_supplier | boolean | Indicates if the supplier is currently active | true |
Use it for
A logistics dashboard
The active_
supplier rate, overall_ risk_ score by risk_ level and a breakdown of industry. Excel, Power BI or Tableau. Why do the 23 Low rows have a mean overall_
risk_ score of 86.7? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Suppliers65SUP-00186.7LowSUP-00274.1MediumSUP-00453.5High
A software demo
Believable suppliers with supplier_
name, industry and country to fill a screen in front of a buyer.
This dataset65 rows16 columns
Yours1,000 rows16 columnscountry: UK only
blueprint · ai-supplier-risk-scoring-data
Behind this dataset
Same schema. As many rows as you need.
These 65 rows came out of a blueprint — 16 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 record includes financial health, delivery reliability, and ESG performance scores.
- Disruption risk adjusts based on recent incident frequency and severity.
- Suppliers are flagged as 'high risk' if two or more indicators fall below safe thresholds.
- Geopolitical risk scores updated quarterly per supplier region.
- Only suppliers with valid compliance certifications are scored.
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
- ai-supplier-risk-scoring-data