Agri-Food Supply Chain Traceability

This dataset provides granular traceability for agri-food products across the entire supply chain, including supplier origins, transit details, climate impact checkpoints, and ESG compliance metrics. It enables startups and sustainability teams to analyze product journeys, monitor carbon footprints, and support resilience and ESG reporting for regulatory and operational excellence.

  • last updated 18 Jan 2026
  • by GoMask
The brief that made it

End-to-end supply chain traceability for agri-food products

Sample rows

preview · 8 of 65 rows · all 38 columns
product_journey_idstringtransit_modestringtransit_distance_kmfloatesg_compliance_flagbooleanfinal_destination_address_statestringproduct_idstringproduct_namestringproduct_categorystringorigin_supplier_idstringorigin_supplier_namestringorigin_supplier_typestringorigin_address_streetstringorigin_address_citystringorigin_address_statestringorigin_address_postal_codestringorigin_address_countrystringtransit_company_idstringtransit_company_namestringtransit_start_datetimedatetimetransit_end_datetimedatetimehandling_conditionsstringcheckpoint_idstringcheckpoint_location_namestringcheckpoint_address_streetstringcheckpoint_address_citystringcheckpoint_address_statestringcheckpoint_address_postal_codestringcheckpoint_address_countrystringcheckpoint_datetimedatetimecarbon_footprint_kg_co2efloatclimate_impact_notesstringfinal_destination_idstringfinal_destination_namestringfinal_destination_address_streetstringfinal_destination_address_citystringfinal_destination_address_postal_codestringfinal_destination_address_countrystringfinal_delivery_datetimedatetime
PJ0001rail420.4trueMNPRD-1001Organic WheatgrainSUP-FM-12Green Acres Farmfarm102 Country LaneFargoND58102USATC-7001Midwest Railways2023-03-15T07:45:002023-03-16T09:12:00Temperature controlled, 18°C averageCP-001North Dakota Sustainability Hub900 Prairie AveFargoND58103USA2023-03-16T10:30:0067.2Solar-powered checkpointDST-1021Whole Grain Market45 Main StMinneapolis55401USA2023-03-17T14:26:00
PJ0002truck230.6trueILPRD-1002Pasteurized MilkdairySUP-PR-03DairyPro Inc.processor287 Cheese RdMadisonWI53711USATC-3004FreshFreight2023-04-21T08:15:002023-04-21T16:30:00Refrigerated, 4°C constantCP-002EcoCheck Midwest2201 Dairy WayRockfordIL61101USA2023-04-21T17:00:0041.3Hybrid truck used for deliveryDST-1047FreshMart Superstore1200 W State StChicago60608USA2023-04-22T08:10:00
PJ0003air1810.8falseQCPRD-1003Atlantic SalmonseafoodSUP-DS-99Salmon Direct Ltd.distributor430 Ocean ViewHalifaxNSB3H 4K6CanadaTC-9002CanadaAir Cargo2023-05-02T06:20:002023-05-02T13:10:00Packed on ice, humidity 72%CP-003Toronto Inspection50 Fishery DrTorontoONM5A 2B7Canada2023-05-02T14:00:00192.6Efficient air transportDST-1099Urban Seafood Market99 Bay StMontrealH2Y 2B6Canada2023-05-03T10:20:00
PJ0004truck285.7trueCAPRD-1004Baby SpinachproduceSUP-FM-44Sunny Fields Farmfarm58 Harvest BlvdSalinasCA93901USATC-3011GreenLeaf Logistics2023-04-18T07:00:002023-04-18T16:45:00Chilled container, 6°CCP-004Salinas Climate Center400 Lettuce AveSalinasCA93905USA2023-04-18T17:15:0022.8Low-emission refrigerationDST-1111Healthy Choice Stores200 Market StSan Francisco94103USA2023-04-19T08:30:00
PJ0005truck202.3trueKYPRD-1005Free Range EggsotherSUP-FM-19Eggcellent Farmsfarm78 Coop LaneLexingtonKY40505USATC-3022QuickEgg Transport2023-06-11T05:15:002023-06-11T12:25:00Humidity monitored, 60%CP-005Lexington Quality Check80 Poultry AveLexingtonKY40507USA2023-06-11T13:00:0018.5Reusable packagingDST-1127Eggland Retail310 Storefront RdLouisville40202USA2023-06-11T16:45:00
PJ0006truck340.8trueTXPRD-1006Grass-fed BeefmeatSUP-FM-34Prairie Ranchfarm150 Meadow RdAmarilloTX79101USATC-1012RanchHaul2023-05-12T07:20:002023-05-12T15:20:00Chilled, 2°C monitoredCP-006Amarillo Inspection200 Beef BlvdAmarilloTX79104USA2023-05-12T16:10:0068.9Methane reduction protocolDST-1143Meat Market Plus3500 6th AveDallas75201USA2023-05-13T09:10:00
PJ0007rail442.5trueCAPRD-1007AlmondsotherSUP-FM-56Golden Nut Orchardsfarm18 Orchard DrModestoCA95354USATC-7004WestCoast Rail2023-07-04T06:30:002023-07-04T18:50:00Dry, 22°CCP-007Modesto Climate Check25 Almond StModestoCA95355USA2023-07-04T19:15:0034.7Water-efficient farmingDST-1158NutriShop765 Wellness BlvdSacramento95814USA2023-07-05T09:05:00
PJ0008truck174.2trueAZPRD-1008Romaine LettuceproduceSUP-FM-51Lettuce Valley Farmsfarm79 Greenhouse RdYumaAZ85364USATC-3044FreshHaul Logistics2023-08-10T08:20:002023-08-10T16:10:00Humidity controlled, 50%CP-008Yuma ESG Station101 Veggie StYumaAZ85365USA2023-08-10T17:00:0013.2LED lighting used in greenhouseDST-1174Veggie Plaza320 Healthy LnPhoenix85001USA2023-08-11T07:20:00

What the 65 rows show

from the 65-row sample

Truck (transit mode) stands out: mean transit_distance_km is 273.6, against 1,650 for the rest.

  • 91%esg_compliance_flag = true
  • 370.4median transit_distance_km
  • 3origin supplier types
  • 3final destination address countries
  • 6product categories
  • 6origin address countries
Mean transit_distance_km by transit_mode65 rows
02,0004,000273.6truck41 rows701.7rail12 rows3,327ship6 rows1,869air6 rows
transit_distance_km65 rows, in bands of 1,000
025504910310203,0006,000transit_distance_km →

Median 370.4, from 142.7 to 5,521.

final_destination_address_state65 rows · top 10 of 31 values
  1. CA10
  2. TX6
  3. MN4
  4. MO4
  5. NY3
  6. NE3
  7. IL2
  8. QC2
  9. WI2
  10. TN2
38 columns by typefrom the column list below
  • string 31
  • float 2
  • datetime 4
  • boolean 1

Columns

38 columns in four groups
blueprint · 38 columns
columntypedescriptionexample
Text 31 columns
product_journey_idstringUnique identifier for each product journey through the supply chainuniquePJ0001
product_idstringUnique identifier for the agri-food productPRD-1001
product_namestringName of the agri-food productOrganic Wheat
product_categorystringCategory of the agri-food product (e.g., grain, dairy, produce)6 valuesgrain
origin_supplier_idstringUnique identifier for the original supplierSUP-FM-12
origin_supplier_namestringName of the original supplierGreen Acres Farm
origin_supplier_typestringType of supplier (e.g., farm, processor, distributor)farm · processor · distributor · otherfarm
origin_address_streetstringStreet address of the original supplieroptional102 Country Lane
origin_address_citystringCity of the original supplieroptionalFargo
origin_address_statestringState or province of the original supplieroptionalND
origin_address_postal_codestringPostal code of the original supplieroptional58102
origin_address_countrystringCountry of the original supplier6 countriesUSA
transit_modestringMode of transportation used during transit (e.g., truck, rail, ship, air)truck · rail · ship · air · otherrail
transit_company_idstringUnique identifier for the transit companyoptionalTC-7001
transit_company_namestringName of the transit companyoptionalMidwest Railways
handling_conditionsstringSummary of handling conditions during transit (e.g., temperature, humidity)optionalChilled container, 6°C
checkpoint_idstringUnique identifier for the climate impact checkpointoptionalCP-001
checkpoint_location_namestringName of the checkpoint locationoptionalEcoCheck Midwest
checkpoint_address_streetstringStreet address of the checkpoint locationoptional900 Prairie Ave
checkpoint_address_citystringCity of the checkpoint locationoptionalFargo
checkpoint_address_statestringState or province of the checkpoint locationoptionalND
checkpoint_address_postal_codestringPostal code of the checkpoint locationoptional58103
checkpoint_address_countrystringCountry of the checkpoint location6 countries · optionalUSA
climate_impact_notesstringAdditional notes about climate impact or sustainability measuresoptionalSolar-powered checkpoint
final_destination_idstringUnique identifier for the final destination (e.g., retailer, processor)optionalDST-1021
final_destination_namestringName of the final destinationoptionalWhole Grain Market
final_destination_address_streetstringStreet address of the final destinationoptional45 Main St
final_destination_address_citystringCity of the final destinationoptionalMinneapolis
final_destination_address_statestringState or province of the final destinationoptionalMN
final_destination_address_postal_codestringPostal code of the final destinationoptional55401
final_destination_address_countrystringCountry of the final destination3 countries · optionalUSA
Numbers 2 columns
transit_distance_kmfloatDistance covered during transit in kilometers0 or more · optional420.4
carbon_footprint_kg_co2efloatCarbon footprint measured at this checkpoint in kilograms of CO2 equivalent0 or more · optional67.2
Dates and times 4 columns
transit_start_datetimedatetimeDate and time when transit started2023-03-15T07:45:00
transit_end_datetimedatetimeDate and time when transit ended2023-03-16T09:12:00
checkpoint_datetimedatetimeDate and time of the climate impact checkpointoptional2023-03-16T10:30:00
final_delivery_datetimedatetimeDate and time when the product reached its final destinationoptional2023-03-17T14:26:00
True or false 1 column
esg_compliance_flagbooleanIndicates whether the product journey meets ESG compliance standards at this checkpointoptionaltrue

Use it for

  • esg compliance…91%59 of 65 rowsmean transit distance…273.6truck701.7rail3.3kship1.9kair

    A logistics dashboard

    The esg_compliance_flag rate, transit_distance_km by transit_mode and a breakdown of final_destination_address_state. Excel, Power BI or Tableau.

  • Why do the 41 truck rows have a mean transit_distance_km of 273.6?

    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 product journeys with product_id, product_name and product_category to fill a screen in front of a buyer.

Not quite right?

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This dataset65 rows38 columns
Yours1,000 rows38 columnsorigin_address_street: UK only

blueprint · agri-food-supply-chain-traceability

Behind this dataset

Same schema. As many rows as you need.

These 65 rows came out of a blueprint — 38 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 record represents a distinct shipment from farm to retailer.
  • Must include supplier ID, transit nodes, and climate impact metrics per leg.
  • Tracking events required at every supply chain stage (farm, processor, distributor, retailer).
  • Carbon emissions calculated based on transit mode and distance.
  • Products flagged if any supplier is high-risk or lacks sustainability certification.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
agri-food-supply-chain-traceability

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