Manufacturing
24 columns
78 rows
8 formats

Factory Supplier Network Risk Profile

This dataset provides a comprehensive risk profile for factory suppliers, including delivery reliability, financial stability, and ESG compliance scores. It enables supply chain teams to proactively identify and rank supplier risks, supports AI/ML modeling for disruption prediction, and helps sustainability analysts target improvement areas for a resilient supplier network.

last updated 27 Dec 2025
by GoMask

The brief that made it

Supplier risk ranking and monitoring

Sample rows

preview · 8 of 78 rows · all 24 columns

supplier_idstring	risk_categorystring	delivery_on_time_ratefloat	esg_certificationsstring	supplier_namestring	contact_personstring	contact_emailstring	contact_phonestring	address_streetstring	address_citystring	address_statestring	address_postal_codestring	address_countrystring	industry_sectorstring	delivery_reliability_scorefloat	delivery_lead_time_avg_daysfloat	financial_stability_scorefloat	credit_ratingstring	annual_revenue_usdfloat	esg_compliance_scorefloat	risk_factorsstring	last_risk_assessment_datedate	active_statusboolean	notesstring
SUP-001	Low	91.2	ISO14001,SA8000	Global Steelworks Ltd	Maria Lopez	maria.lopez@globalsteel.com	+44 20 7946 3211	1 Ironworks Road	Birmingham	West Midlands	B1 1AA	United Kingdom	Metals	87.3	7.1	79.8	A	67000000	82.6	Logistics,Market Volatility	2024-04-09	true	Consistently reliable. Minor delays during Q1.
SUP-002	Medium	69.4	ISO14001	EcoTech Plastics	James Carter	jcarter@ecotechplastics.com	+1 312-555-0213	221 Green Lane	Chicago	Illinois	60601	United States	Plastics	65.1	13.4	56.6	BB	21700000	76.3	Inventory,Financial Health	2024-03-19	true	Occasional cash flow concerns. Improving ESG.
SUP-003	Low	97.8	ISO14001,ISO45001	Sunrise Electronics	Aisha Ng	aisha.ng@sunriseelec.com	+65 6123 4567	88 Tech Avenue	Singapore	Central	409001	Singapore	Electronics	93.2	3.9	91.4	AA	133000000	88.7	Supply Chain,Geopolitical	2024-05-03	true	Excellent delivery record. Strong financials.
SUP-004	Medium	75	FSC,ISO14001	Nordic Timber	Erik Larsson	erik.l@nordictimber.se	+46 8 555 1234	12 Forest Road	Uppsala	Uppsala County	75318	Sweden	Wood Products	72.5	11.2	68.9	BBB	38000000	80.5	Weather,Transport	2024-04-21	true	Seasonal disruption risk. Good ESG record.
SUP-005	High	53.2	blank	Pacifica Chemicals	Carmen Diaz	cdiaz@pacificachem.com	+61 2 4001 2233	50 Harbor Drive	Sydney	NSW	2000	Australia	Chemicals	40.7	19.8	34.6	B	12200000	60.2	Compliance,Financial Health	2024-03-27	true	Multiple late deliveries. Review recommended.
SUP-006	Medium	81.5	ISO14001	Delta Fasteners	John Matthews	jmatthews@deltafast.com	+1 205-555-3344	800 Bolt Blvd	Birmingham	Alabama	35203	United States	Industrial Hardware	78.9	8.7	74.2	A	22500000	70.1	Market Volatility,Financial Health	2024-04-29	true	Stable supplier. Minor quality issues Q2.
SUP-007	Low	87.5	ISO14001,SA8000	Empire Textiles	Priya Singh	priya.singh@empiretextiles.in	+91 22 4001 9090	21 Silk Route	Mumbai	Maharashtra	400001	India	Textiles	85.4	6.2	77.5	A	54000000	83.3	Labor,Market Volatility	2024-05-15	true	Strong ESG. High reliability.
SUP-008	High	62.1	blank	Silver Arrow Logistics	Linda Chen	lchen@silverarrow.com	+86 21 5888 1022	88 Portway	Shanghai	Shanghai	200120	China	Logistics	58.2	15.3	51.8	BB	18700000	66.9	Transport,Financial Health	2024-02-18	true	Transport delays reported in March.
SUP-009	Low	94.3	ISO14001,ISO50001	Arctic Refrigeration	Magnus Jensen	mjensen@arcticrefrig.no	+47 22 123 456	4 Polar Drive	Oslo	Oslo	0150	Norway	HVAC	92.1	4.2	88.5	AA	76000000	90.8	Weather,Geopolitical	2024-05-07	true	Outstanding reliability. High ESG compliance.
SUP-010	Medium	85.1	ISO14001	Bluewave Ceramics	Derek Wu	dwu@bluewaveceramics.com	+1 818-555-4411	430 Pottery Ave	Los Angeles	California	90001	United States	Ceramics	82.7	9.4	73.2	A	32000000	75.6	Supply Chain,Financial Health	2024-04-14	true	Very responsive contact. Some supply delays.
SUP-011	Medium	79.9	ISO14001,ISO22000	Sun Valley Foods	Helen Kim	helen.kim@sunvalleyfoods.co.kr	+82 2 555 9988	22 Orchard Lane	Seoul	Seoul	04520	South Korea	Food Products	76.3	7.7	68.5	BBB	44000000	82.1	Inventory,Quality	2024-04-23	true	Good ESG. Seasonal demand spikes.
SUP-012	Critical	41.1	blank	Caspian Petroleum	Rashid Karimov	rashid.karimov@caspianpetrol.az	+994 12 123 4567	150 Oilfield Road	Baku	Absheron	AZ1000	Azerbaijan	Petroleum	32.4	22.5	29.7	C	36000000	45.2	Compliance,Financial Health,Geopolitical	2024-01-30	true	Critical risk. Multiple compliance issues.
SUP-013	Low	93.9	ISO14001,ISO45001	Alpine Engineering	Sophie Muller	sophie.muller@alpineeng.ch	+41 44 123 4567	5 Alpine Way	Zurich	Zurich	8001	Switzerland	Machinery	91.6	5.1	87.4	AA	92000000	85.9	Market Volatility,Supply Chain	2024-05-04	true	Top performing supplier.
SUP-014	Medium	79.1	ISO14001	Emerald Packaging	Liam O'Brien	liam.obrien@empack.ie	+353 1 555 7788	102 Green Street	Dublin	Dublin	D02 Y006	Ireland	Packaging	74.8	8.9	61.3	BBB	18000000	73.5	Inventory,Transport	2024-03-30	true	Stable supplier. Packaging innovations.
SUP-015	High	68.2	ISO14001	Borealis Mining	Johan Svensson	johan.svensson@borealismining.se	+46 980 123 456	7 Ore Lane	Kiruna	Norrbotten	98107	Sweden	Mining	63.9	14.6	66.7	BB	47000000	68.8	Transport,Compliance	2024-02-19	true	Occasional transport delays, improving ESG.
SUP-016	Low	83.9	ISO14001,ISO45001	Atlantic Components	Sarah Collins	scollins@atlanticcomp.co.uk	+44 161 555 7787	29 Ocean Way	Manchester	Greater Manchester	M1 1AN	United Kingdom	Automotive	80.2	7.3	77.6	A	69000000	81.7	Supply Chain,Market Volatility	2024-04-27	true	Consistently on-time. High ESG performance.
SUP-017	Medium	80.3	FSC,ISO14001	Pacific Paper Mills	David Kim	david.kim@pacificpapermills.com	+82 10 2345 6789	71 White Birch Way	Busan	Busan	48400	South Korea	Paper	77.8	9	70.2	BBB	33000000	75.4	Inventory,Market Volatility	2024-04-18	true	Paper shortages in March, otherwise stable.
SUP-018	High	54.9	blank	Aurora Polymers	Olga Petrova	olga.petrova@aurorapolymers.ru	+7 495 555 1234	10 Polymer St	Moscow	Moscow	101000	Russia	Chemicals	48.6	20.1	40.2	B	15900000	59.4	Compliance,Transport	2024-02-13	true	High lead times, compliance risk.
SUP-019	Low	92.7	ISO14001,ISO45001	Eastpoint Electronics	Wei Zhang	wei.zhang@eastpointelectronics.cn	+86 10 5555 6789	56 Innovation Park	Beijing	Beijing	100080	China	Electronics	89.5	6.5	81.9	A	82000000	84.2	Supply Chain,Geopolitical	2024-05-10	true	Strong performance. High market share.
SUP-020	Medium	70.4	ISO14001	Sahara Textiles	Fatima Al-Farsi	fatima.alfarsi@saharatextiles.com	+971 4 555 7890	27 Desert Lane	Dubai	Dubai	00000	United Arab Emirates	Textiles	66.7	12.3	59.1	BB	21000000	70.5	Labor,Transport	2024-03-22	true	Labor shortages Q1. Improving reliability.

What the 78 rows show

from the 78-row sample

Low (risk category) stands out: mean delivery_on_time_rate is 89.8, against 68.6 for the rest.

79.2median delivery_on_time_rate
9credit ratings
77.4median delivery_reliability_score
12.1median delivery_lead_time_avg_days
71.4median financial_stability_score
28,000,000median annual_revenue_usd

Mean delivery_on_time_rate by risk_category78 rows

delivery_on_time_rate78 rows, in bands of 10

Median 79.2, from 41.1 to 98.4.

esg_certifications59 rows with a value · 19 left blank

ISO 1400113
ISO1400110
ISO14001,ISO450017
FSC,ISO140015
ISO14001,SA80003
FSC,PEFC3
ISO 14001,ISO 500013
ISO 14001,REACH2
FSC,ISO 140012
ISO 14001,BRC2

24 columns by typefrom the column list below

string 16
float 6
date 1
boolean 1

Columns

24 columns in four groups

blueprint · 24 columns
column	type	description	example
Text 16 columns
`supplier_id`	string	Unique identifier for the supplierunique	SUP-001
`supplier_name`	string	Official name of the supplier	Global Steelworks Ltd
`contact_person`	string	Primary contact person at the supplieroptional	Maria Lopez
`contact_email`	string	Email address for supplier contactoptional	aisha.ng@sunriseelec.com
`contact_phone`	string	Phone number for supplier contactoptional	+44 20 7946 3211
`address_street`	string	Street address of the supplieroptional	1 Ironworks Road
`address_city`	string	City where the supplier is locatedoptional	Birmingham
`address_state`	string	State or region of the supplieroptional	West Midlands
`address_postal_code`	string	Postal code of the supplier's addressoptional	B1 1AA
`address_country`	string	Country where the supplier is locatedoptional	United Kingdom
`industry_sector`	string	Industry sector in which the supplier operatesoptional	Metals
`credit_rating`	string	Supplier's credit rating (e.g., AAA, AA, A, BBB)10 values · optional	A
`esg_certifications`	string	Comma-separated list of ESG certifications held by the supplieroptional	ISO14001,SA8000
`risk_category`	string	Overall risk category assigned to the supplierLow · Medium · High · Critical	Low
`risk_factors`	string	Comma-separated list of key risk factors identified for the supplieroptional	Weather,Transport
`notes`	string	Additional notes or comments about the supplieroptional	Top performing supplier.
Numbers 6 columns
`delivery_reliability_score`	float	Score representing supplier's delivery reliability (0-100)0 to 100	87.3
`delivery_on_time_rate`	float	Percentage of deliveries made on time (0-100)0 to 100 · optional	91.2
`delivery_lead_time_avg_days`	float	Average lead time for deliveries in days0 or more · optional	7.1
`financial_stability_score`	float	Score representing supplier's financial stability (0-100)0 to 100	79.8
`annual_revenue_usd`	float	Supplier's annual revenue in USD0 or more · optional	67000000
`esg_compliance_score`	float	Score representing supplier's ESG (Environmental, Social, Governance) compliance (0-100)0 to 100	82.6
Dates and times 1 column
`last_risk_assessment_date`	date	Date of the most recent risk assessment for the supplier	2024-04-09
True or false 1 column
`active_status`	boolean	Indicates if the supplier is currently active in the network	true

Use it for

A manufacturing dashboard
Delivery_on_time_rate by risk_category and a breakdown of esg_certifications. Excel, Power BI or Tableau.
Why do the 30 Low rows have a mean delivery_on_time_rate of 89.8?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Suppliers78
SUP-00191.2Low
SUP-00269.4Medium
SUP-00397.8Low
A software demo
Believable suppliers with supplier_name, contact_person and contact_email to fill a screen in front of a buyer.

This dataset78 rows24 columns

Yours1,000 rows24 columnsaddress_street: UK only

blueprint · factory-supplier-network-risk-profile

Behind this dataset

Same schema. As many rows as you need.

These 78 rows came out of a blueprint — 24 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 is scored on delivery reliability, financial health, and ESG compliance.
Supplier region and primary product must be recorded.
Risk scores are updated based on latest incidents or audits.
High-risk suppliers are flagged for escalation.
Historical disruption events linked to supplier profiles.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

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: factory-supplier-network-risk-profile

What should your data show?

No signup. No card.

Sample rows

What the 78 rows show

Columns

Use it for

A manufacturing dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Manufacturing

What should your data show?