E-commerce Packaging Emissions Tracker

This dataset tracks detailed packaging and carbon emission data for e-commerce orders, including packaging type, material, supplier, recyclability, and ESG certifications. It empowers sustainability teams to analyze the environmental impact of packaging choices, identify high-emission suppliers or materials, and optimize eco-friendly shipping strategies for ESG compliance and reporting.

  • last updated 16 Jan 2026
  • by GoMask
The brief that made it

Identifying high-impact packaging types and suppliers for sustainability improvements

Sample rows

preview · 8 of 85 rows · all 18 columns
order_idstringshipping_methodstringshipping_distance_kmfloatis_packaging_recyclablebooleanpackaging_supplier_idstringorder_datedatetimecustomer_idstringpackaging_idstringpackaging_typestringpackaging_materialstringpackaging_weight_gramsfloatpackaging_volume_cubic_cmfloatpackaging_supplier_namestringis_packaging_compostablebooleancarbon_emission_kg_co2efloatdestination_countrystringesg_certificationstringnotesstring
ORD10001standard182trueSUP-122024-04-10T09:17:32CUST-8321PKG-201cardboard boxcardboard3202500EcoPack Solutionsfalse0.42United StatesFSCCalculated with regional emission factor
ORD10002express75trueSUP-152024-04-11T14:05:10CUST-8476PKG-203padded envelopepaper90650GreenMailerstrue0.16United KingdomSFIblank
ORD10003overnight324falseSUP-182024-04-12T10:47:03CUST-7219PKG-206plastic mailerplastic38400PackRightfalse0.27CanadaNonePlastic not eligible for eco schemes
ORD10004standard212trueSUP-122024-04-13T16:00:12CUST-7592PKG-201cardboard boxcardboard5403400EcoPack Solutionsfalse0.61GermanyFSCblank
ORD10005standard98falseSUP-192024-04-14T13:22:55CUST-8035PKG-205bioplastic satchelbioplastic49450BioPack Co.true0.11AustraliaNoneCompostable as per supplier
ORD10006express440falseSUP-182024-04-15T12:51:17CUST-8662PKG-204bubble mailerplastic56580PackRightfalse0.29FranceNoneblank
ORD10007standard96trueSUP-142024-04-16T09:36:32CUST-7711PKG-202corrugated boxcardboard3772700CardboardHubfalse0.4United StatesFSCSupplier meets FSC criteria
ORD10008overnight350trueSUP-152024-04-17T15:43:11CUST-8923PKG-203padded envelopepaper82600GreenMailerstrue0.15ItalySFIblank

What the 85 rows show

from the 85-row sample

Overnight (shipping method) stands out: mean shipping_distance_km is 542.3, against 92.9 for the rest.

  • 59%is_packaging_recyclable = true
  • 98.9median shipping_distance_km
  • 3esg certifications
  • 4packaging materials
  • 7packaging types
  • 9packaging supplier names
Mean shipping_distance_km by shipping_method85 rows
040080061.3standard37 rows128.4express27 rows542.3overnight16 rows136.0other5 rows
shipping_distance_km85 rows, in bands of 100
02550451937213320500900shipping_distance_km →

Median 98.9, from 11.7 to 823.1.

packaging_supplier_id85 rows · 10 values
  1. SUP-70311
  2. SUP-1810
  3. SUP-129
  4. SUP-7059
  5. SUP-158
  6. SUP-198
  7. SUP-148
  8. SUP-7048
  9. SUP-7068
  10. SUP-7076
18 columns by typefrom the column list below
  • string 11
  • float 4
  • datetime 1
  • boolean 2

Columns

18 columns in four groups
blueprint · 18 columns
columntypedescriptionexample
Text 11 columns
order_idstringUnique identifier for the e-commerce orderuniqueORD10001
customer_idstringUnique identifier for the customer who placed the orderCUST-8321
packaging_idstringUnique identifier for the packaging type used in the orderPKG-201
packaging_typestringType of packaging used (e.g., cardboard box, padded envelope, plastic mailer)7 typescardboard box
packaging_materialstringPrimary material of the packaging (e.g., cardboard, plastic, paper, bioplastic)4 materialscardboard
packaging_supplier_idstringUnique identifier for the packaging supplier10 suppliersSUP-12
packaging_supplier_namestringName of the packaging supplier9 namesEcoPack Solutions
shipping_methodstringShipping method used for the order (e.g., standard, express, overnight)standard · express · overnight · otherstandard
destination_countrystringCountry where the order was shippedUnited States
esg_certificationstringESG or sustainability certification associated with the packaging or supplier (e.g., FSC, SFI, None)3 certifications · optionalFSC
notesstringAdditional notes or comments about the packaging or emissions calculationoptionalEco label pending
Numbers 4 columns
packaging_weight_gramsfloatWeight of the packaging used in grams0 or more320
packaging_volume_cubic_cmfloatVolume of the packaging used in cubic centimeters0 or more · optional2500
carbon_emission_kg_co2efloatEstimated carbon emissions for the packaging in kilograms of CO2 equivalent0 or more0.42
shipping_distance_kmfloatEstimated shipping distance in kilometers0 or more · optional182
Dates and times 1 column
order_datedatetimeDate and time when the order was placed2024-04-10T09:17:32
True or false 2 columns
is_packaging_recyclablebooleanIndicates if the packaging is recyclabletrue
is_packaging_compostablebooleanIndicates if the packaging is compostablefalse

Use it for

  • is packaging r…59%50 of 85 rowsmean shipping distanc…61.3stan…128.4expr…542.3over…136.0other

    An e-commerce dashboard

    The is_packaging_recyclable rate, shipping_distance_km by shipping_method and a breakdown of packaging_supplier_id. Excel, Power BI or Tableau.

  • Why do the 16 overnight rows have a mean shipping_distance_km of 542.3?

    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 orders with order_date, customer_id and packaging_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset85 rows18 columns
Yours1,000 rows18 columnsdestination_country: UK only

blueprint · e-commerce-packaging-emissions-tracker

Behind this dataset

Same schema. As many rows as you need.

These 85 rows came out of a blueprint — 18 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 row represents a unique e-commerce order's packaging instance.
  • Include material type, weight, supplier, and package dimensions.
  • Calculate emissions using standardized material lifecycle factors.
  • Capture if packaging is recyclable, compostable, or reusable.
  • Flag orders with above-average emissions for review.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
e-commerce-packaging-emissions-tracker

What should your data show?

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