Agriculture
21 columns
150 rows
8 formats

Agri Supply Chain Twin Metrics

This dataset provides real-time, synthetic digital twin metrics for agricultural supply chains, including supplier and product details, inventory levels, disruption tracking, risk and climate impact scores, and logistics status. It is ideal for agri-tech startups and supply chain managers seeking to analyze resilience, optimize operations, and model predictive decisions in the face of disruptions and climate challenges.

last updated 26 Oct 2025
by GoMask

The brief that made it

Supply chain risk analysis and resilience benchmarking

Sample rows

preview · 8 of 150 rows · all 21 columns

twin_metric_idstring	inventory_statusstring	inventory_levelfloat	location_countrystring	timestampdatetime	supplier_idstring	supplier_namestring	location_street_addressstring	location_citystring	location_statestring	location_postal_codestring	product_idstring	product_namestring	disruption_typestring	disruption_severityinteger	risk_scorefloat	climate_impact_scorefloat	logistics_statusstring	inventory_movement_typestring	predicted_decision_actionstring	notesstring
TW-983KJL2	available	42.8	USA	2024-05-09T10:15:00Z	SUP-081	Green Valley Growers	1487 Willow St	Fresno	CA	93722	P-54711	Wheat	none	0	0.12	21.3	on-time	inbound	none	No disruptions. Inventory replenished last week.
TW-PLM3D9T6	low	13.2	Canada	2024-06-01T14:37:00Z	SUP-082	Harvest Horizon Ltd.	23 Maple Lane	Hamilton	ON	L8P1A1	P-78192	Canola	demand	2	0.62	56.9	delayed	outbound	expedite	High market demand causing delays in outbound shipments.
TW-KJ9834Q	out-of-stock	0	UK	2024-04-17T09:04:00Z	SUP-083	AgroPlus Foods	15 King St	Manchester	blank	M16 8AA	P-43187	Barley	logistics	3	0.85	98.1	cancelled	none	reroute	Logistics provider strike halted all shipments.
TW-2A1B7V9Q	reserved	108.5	Australia	2024-05-29T13:22:00Z	SUP-084	Sunrise Organics	49 Orchard Ave	Melbourne	VIC	3001	P-61924	Soybeans	none	0	0.22	38.2	pending	internal-transfer	hold	Reserved for upcoming production cycle.
TW-W8X4Q2B7	low	7.3	South Africa	2024-04-08T17:40:00Z	SUP-085	Oceanic Agri Co.	128 Seaside Blvd	Durban	KZN	4001	P-15489	Maize	weather	2	0.67	74.8	delayed	outbound	increase-inventory	Heavy rains delayed outbound logistics and reduced stock.
TW-9M7C5B2X	available	23.6	USA	2024-03-25T08:30:00Z	SUP-086	Mountain Fields	790 Aspen Rd	Denver	CO	80203	P-92154	Corn	none	0	0.09	15.7	on-time	inbound	none	Corn deliveries on schedule, no recent issues.
TW-6ZB1N3V5	out-of-stock	0	USA	2024-01-19T16:19:00Z	SUP-087	Riverbend Farms	2541 River Rd	Memphis	TN	38103	P-35821	Rice	labor	2	0.71	66.3	cancelled	none	expedite	Labor shortage led to cancelled outgoing shipment.
TW-3J8B9Q1S	low	18.7	Singapore	2024-05-24T12:44:00Z	SUP-088	Pacific Produce Co.	blank	Singapore	blank	058741	P-73459	Lettuce	weather	1	0.43	42.7	pending	outbound	hold	Unusual heat reduced harvest, outbound delayed.
TW-X6V3KQ5B	available	29.3	Bolivia	2024-02-11T11:02:00Z	SUP-089	Bolivia Grain Group	11 Miraflores Dr	La Paz	blank	0102	P-24167	Quinoa	none	0	0.13	19.1	on-time	inbound	none	Consistent inbound supply, no disruptions.
TW-8N2Q5X7B	reserved	97.5	Colombia	2023-12-21T15:12:00Z	SUP-090	Colombia Fresh	123 Avenida Sur	Bogota	blank	110111	P-22156	Coffee	none	0	0.25	33.5	pending	internal-transfer	hold	Stock reserved for major client; transfer scheduled.
TW-5V9X2C1Q	available	61.2	USA	2024-06-03T19:31:00Z	SUP-091	Sunbelt Foods	900 Peach St	Atlanta	GA	30303	P-36842	Peaches	none	0	0.11	13.2	on-time	inbound	none	Fresh inbound shipment, no issues reported.
TW-E4X7Q5B2	low	8.9	China	2024-03-11T20:22:00Z	SUP-092	China Harvest	88 Golden Rd	Hangzhou	blank	310000	P-86423	Rice	weather	2	0.55	61.7	delayed	outbound	increase-inventory	Flooding delayed outbound logistics, stocks low.
TW-9KX2B7C3	low	17.4	Finland	2024-04-23T06:45:00Z	SUP-093	Golden Harvesters	77 Autumn Rd	Helsinki	blank	00100	P-31288	Oats	demand	1	0.47	38.4	pending	outbound	hold	Market demand higher than forecast; outbound pending.
TW-7JX5B2Q9	available	44.6	Mexico	2024-05-05T14:08:00Z	SUP-094	Mexico Agro Export	72 Calle Verde	Monterrey	NL	64000	P-12875	Avocado	none	0	0.16	22.4	on-time	inbound	none	Regular inbound delivery from local farm.
TW-3V2K8Q1X	low	5.1	Ghana	2024-03-04T15:23:00Z	SUP-095	Ghana Grown Ltd.	39 Mango St	Accra	GA	00233	P-65814	Cassava	labor	1	0.42	41.8	delayed	outbound	expedite	Labor issues affecting outbound shipments.
TW-L3X9C2B7	available	36.7	Ireland	2024-06-04T21:15:00Z	SUP-096	Emerald Isles Ltd.	16 Clover Rd	Dublin	blank	D02Y006	P-37124	Potato	none	0	0.08	13.9	on-time	inbound	none	On-time inbound potato shipment; stable operations.
TW-1Q9K7X3B	low	8.4	Germany	2024-05-13T08:54:00Z	SUP-097	Berlin Agri Supply	55 Lindenweg	Berlin	blank	10115	P-52417	Rye	demand	2	0.53	58.1	delayed	outbound	increase-inventory	Unexpected demand spike; inventory low and outbound delayed.
TW-6C8V5K2B	available	27.9	USA	2024-01-28T17:55:00Z	SUP-098	Santa Fe Harvest	1877 Plaza St	Santa Fe	NM	87501	P-48173	Chili	none	0	0.07	8.2	on-time	inbound	none	Chili inbound shipment arrived on schedule.
TW-N3B8X2K4	out-of-stock	0	Finland	2024-02-22T10:48:00Z	SUP-099	Finland Agri	7 Frost Ave	Oulu	blank	90100	P-57216	Barley	weather	3	0.91	100	cancelled	none	reroute	Blizzard cancelled all outbound logistics, no stock.
TW-X1B7K2Q9	low	15.8	Bolivia	2024-06-06T16:18:00Z	SUP-100	Bolivia Produce Corp	55 Andes St	Cochabamba	blank	0401	P-41276	Soybeans	other	2	0.57	62.8	delayed	outbound	hold	Unexpected customs review delayed outbound.

What the 150 rows show

from the 150-row sample

Reserved (inventory status) stands out: mean inventory_level is 105.8, against 18.6 for the rest.

16.3median inventory_level
4inventory movement types
5logistics statuses
5predicted decision actions
6disruption types
1median disruption_severity

Mean inventory_level by inventory_status150 rows

inventory_level150 rows, in bands of 20

Median 16.3, from 0.0 to 145.9.

location_country150 rows · top 10 of 27 values

USA38
UK10
Finland10
Canada9
Ireland9
South Africa8
Singapore8
Australia7
Bolivia7
China7

21 columns by typefrom the column list below

string 16
integer 1
float 3
datetime 1

Columns

21 columns in three groups

blueprint · 21 columns
column	type	description	example
Text 16 columns
`twin_metric_id`	string	Unique identifier for each digital twin metric recordunique	TW-983KJL2
`supplier_id`	string	Unique identifier for the supplier	SUP-081
`supplier_name`	string	Name of the supplier	Green Valley Growers
`location_street_address`	string	Supplier's street addressoptional	1487 Willow St
`location_city`	string	Supplier's cityoptional	Fresno
`location_state`	string	Supplier's state or regionoptional	CA
`location_postal_code`	string	Supplier's postal codeoptional	93722
`location_country`	string	Supplier's country	USA
`product_id`	string	Unique identifier for the agricultural product	P-54711
`product_name`	string	Name of the agricultural product	Wheat
`inventory_status`	string	Status of inventory (e.g., available, low, out-of-stock)available · low · out-of-stock · reserved · in-transit	available
`disruption_type`	string	Type of supply chain disruption (e.g., weather, labor, logistics)6 values · optional	none
`logistics_status`	string	Status of logistics (e.g., on-time, delayed, rerouted)on-time · delayed · rerouted · pending · cancelled	on-time
`inventory_movement_type`	string	Type of inventory movement (e.g., inbound, outbound, internal transfer)inbound · outbound · internal-transfer · none	inbound
`predicted_decision_action`	string	Recommended action based on predictive modeling (e.g., reroute, expedite, hold)6 values · optional	none
`notes`	string	Additional notes or comments regarding the metric recordoptional	No disruptions. Inventory…
Numbers 4 columns
`inventory_level`	float	Current inventory level (in metric tons or units)0 or more	42.8
`disruption_severity`	integer	Severity of disruption (0=no disruption, 1=minor, 2=moderate, 3=severe)0 to 3 · optional	0
`risk_score`	float	Calculated risk score for supply chain resilience (0-1 scale)0 to 1	0.12
`climate_impact_score`	float	Benchmark score for climate impact (0-100 scale)0 to 100	21.3
Dates and times 1 column
`timestamp`	datetime	Date and time when the metric was recorded	2024-05-09T10:15:00Z

Use it for

An agriculture dashboard
Inventory_level by inventory_status and a breakdown of location_country. Excel, Power BI or Tableau.
Why do the 15 reserved rows have a mean inventory_level of 105.8?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Twin metrics150
TW-983KJL242.8available
TW-PLM3D9T613.2low
TW-KJ9834Q0out-of-s…
A software demo
Believable twin metrics with timestamp, supplier_id and supplier_name to fill a screen in front of a buyer.

This dataset150 rows21 columns

Yours1,000 rows21 columnslocation_street_address: UK only

blueprint · agri-supply-chain-twin-metrics

Behind this dataset

Same schema. As many rows as you need.

These 150 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

Each supply chain node has unique digital twin attributes (status, latency, emissions, risk level)
Disruption events must impact at least two nodes per supply chain route
Climate-related risk scores update weekly, influencing logistics delay forecasts
Inventory movement logs reflect batch IDs, timestamps, and route deviations
Supplier resilience ratings are recalculated after any incident or disruption

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: agri-supply-chain-twin-metrics

What should your data show?

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Sample rows

What the 150 rows show

Columns

Use it for

An agriculture dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Agriculture

What should your data show?