Logistics
29 columns
200 rows
8 formats

Logistics Packaging Optimization Dataset

This dataset provides granular shipment-level data for logistics packaging optimization, including package dimensions, materials, waste generation, shipment outcomes, and cost. It enables analysis of packaging efficiency, sustainability, and operational performance to reduce waste and improve logistics processes. Ideal for supply chain analysts, sustainability teams, and logistics managers seeking actionable insights.

last updated 20 Aug 2025
by GoMask

The brief that made it

Packaging efficiency and waste reduction analysis

Sample rows

preview · 8 of 200 rows · all 29 columns

shipment_idstring	package_typestring	package_length_cmfloat	is_packaging_recyclableboolean	destination_countrystring	package_idstring	package_materialstring	package_width_cmfloat	package_height_cmfloat	package_weight_kgfloat	shipment_datedate	origin_street_addressstring	origin_citystring	origin_statestring	origin_postal_codestring	origin_countrystring	destination_street_addressstring	destination_citystring	destination_statestring	destination_postal_codestring	shipment_modestring	shipment_statusstring	delivery_datedate	waste_generated_kgfloat	packaging_efficiency_scorefloat	cost_usdfloat	product_typestring	product_weight_kgfloat	product_volume_cm3float
SHIP001	box	42.8	true	USA	PKG-BOX001	cardboard	29.6	21.2	2.3	2024-02-14	33 Rosewood Ave	Dallas	TX	75220	USA	18 Jardin St	San Jose	CA	95113	road	delivered	2024-02-16	0.18	0.92	12.95	electronics	1.1	9200
SHIP002	envelope	25.2	true	Canada	PKG-ENV002	paper	19	0.6	0.09	2024-03-07	7008 Rue de Lyon	Montreal	QC	H3R2K7	Canada	41 Flinders St	Toronto	ON	M4B1G7	rail	delivered	2024-03-09	0.01	0.97	3.8	documents	0.03	520
SHIP003	pallet	120	false	Netherlands	PKG-PAL003	wood	100	135.7	180.2	2023-12-01	98 Industrie Park	Hamburg	HH	20537	Germany	2290 Port Rd	Rotterdam	ZH	3011AA	sea	delayed	2023-12-23	35.6	0.41	740	industrial_equipment	820	14500000
SHIP004	bag	36	true	Singapore	PKG-BAG004	biodegradable	24.9	5.1	0.28	2024-01-17	16 Kallang Rd	Singapore	SG	188345	Singapore	7 Changi Rd	Singapore	SG	419728	road	delivered	2024-01-18	0	0.96	4.6	food	1.2	770
SHIP005	crate	180.2	false	Canada	PKG-CRT005	metal	80	110	265.4	2024-04-05	7819 Dockside Dr	Seattle	WA	98108	USA	297 Battery St	Vancouver	BC	V5K2A1	sea	delivered	2024-04-19	72.4	0.32	2110	machinery	1100	6300000
SHIP006	box	33.5	true	UK	PKG-BOX001	cardboard	21.8	12.3	1.4	2024-01-04	55 Park St	London	ENG	E14 7FB	UK	15 Oxford St	Manchester	ENG	M1 1AE	rail	delivered	2024-01-07	0.13	0.89	9.4	medical_supplies	0.8	7000
SHIP007	pallet	110	false	Germany	PKG-PAL006	wood	90	145	320.1	2024-03-24	78 Harbor Lane	Shanghai	SH	200120	China	41 Nordring Rd	Hamburg	HH	20537	sea	delayed	2024-04-18	90.5	0.28	2920	automobile_parts	1450	19200000
SHIP008	tube	70.5	false	Canada	PKG-TUB008	plastic	10	10	0.9	2024-02-22	9005 Market St	Houston	TX	77009	USA	76 Queen St	Ottawa	ON	K1P6K7	road	damaged	2024-02-28	2.2	0.74	39.5	blueprints	0.19	2150
SHIP009	box	60	true	USA	PKG-BOX009	cardboard	40	30	3.2	2024-03-11	12 Main St	Boston	MA	02108	USA	99 King St	New York	NY	10001	road	delivered	2024-03-14	0.33	0.86	18.8	apparel	2	22200
SHIP010	bag	27	false	Australia	PKG-BAG010	plastic	16	3.5	0.16	2024-04-10	44 Gill St	Sydney	NSW	2000	Australia	11 York Rd	Melbourne	VIC	3000	road	returned	2024-04-13	0.09	0.94	6.7	gift_card	0.02	100
SHIP011	envelope	30	true	UK	PKG-ENV011	biodegradable	22	0.5	0.05	2024-01-21	118 Maple St	Edinburgh	SCT	EH1 3LH	UK	27 George St	Glasgow	SCT	G2 1DU	rail	delivered	2024-01-23	0	0.99	2.7	tickets	0.01	40
SHIP012	box	40	false	USA	PKG-BOX012	plastic	30	20	1.7	2024-02-28	8009 Lakeview Rd	Chicago	IL	60616	USA	17 Elm St	Detroit	MI	48226	road	delivered	2024-03-01	0.25	0.84	13.2	cosmetics	1.4	9000
SHIP013	pallet	150	false	Japan	PKG-PAL013	wood	120	180	400	2023-11-10	1090 Commerce Dr	Los Angeles	CA	90021	USA	55 Transbay Rd	Tokyo	TK	105-0021	sea	damaged	2023-12-10	128.5	0.27	2650	sports_equipment	1100	24500000
SHIP014	crate	175	false	Netherlands	PKG-CRT005	metal	78.5	115	260.7	2024-04-13	18 Techno Park	Berlin	BE	10178	Germany	23 Wilhelminastraat	Amsterdam	NH	1017CE	sea	lost	2024-05-08	128	0.25	2285	industrial_equipment	950	8900000
SHIP015	bag	34.5	false	USA	PKG-BAG015	plastic	19	4.2	0.19	2024-02-05	9809 Pine St	Austin	TX	78752	USA	34 Bay St	San Diego	CA	92101	road	delivered	2024-02-07	0.11	0.91	5.7	food	0.9	660
SHIP016	tube	62	false	UK	PKG-TUB008	plastic	8	8	0.72	2024-03-16	13 St Pauls Rd	London	ENG	N1 2LH	UK	9 King St	Edinburgh	SCT	EH1 3LH	rail	in_transit	blank	blank	0.88	17.3	posters	0.25	1800
SHIP017	other	0	false	Australia	PKG-OTH017	other	0	0	0	2024-04-04	22 Test St	Sydney	NSW	2000	Australia	77 Dummy Rd	Brisbane	QLD	4000	other	lost	2024-04-05	0	0	0.5	none	0	0
SHIP018	box	38	false	Canada	PKG-BOX012	plastic	28	18	1.6	2024-01-30	44 Crescent Ave	Vancouver	BC	V6B1A1	Canada	10 Apple St	Calgary	AB	T2P1J9	rail	delivered	2024-02-02	0.21	0.84	14.9	cosmetics	1.1	8100
SHIP019	envelope	28	true	USA	PKG-ENV019	paper	17	0.5	0.07	2024-03-19	13 Liberty St	Philadelphia	PA	19103	USA	22 Penn St	Pittsburgh	PA	15222	road	delivered	2024-03-20	0.01	0.98	2.5	documents	0.03	450
SHIP020	box	55	true	USA	PKG-BOX009	cardboard	35	25	2.6	2024-02-13	8009 Lakeview Rd	Chicago	IL	60616	USA	17 Elm St	Detroit	MI	48226	road	delivered	2024-02-15	0.22	0.9	11.8	apparel	1.8	17500

What the 200 rows show

from the 200-row sample

Crate (package type) stands out: mean package_length_cm is 178.7, against 48.3 for the rest.

44%is_packaging_recyclable = true
36.0median package_length_cm
5shipment modes
6shipment statuses
7package materials
15product types

Mean package_length_cm by package_type200 rows

package_length_cm200 rows, in bands of 25

Median 36.0, from 0.0 to 240.0.

destination_country200 rows · top 10 of 24 values

Canada33
USA31
Australia28
UK22
France19
Netherlands9
Italy9
Singapore8
Austria8
Germany6

29 columns by typefrom the column list below

string 17
float 9
date 2
boolean 1

Columns

29 columns in four groups

blueprint · 29 columns
column	type	description	example
Text 17 columns
`shipment_id`	string	Unique identifier for each shipment transactionunique	SHIP001
`package_id`	string	Unique identifier for the packaging option used in the shipment	PKG-BOX001
`package_type`	string	Type of packaging used (e.g., box, envelope, pallet)7 values	box
`package_material`	string	Primary material of the packaging (e.g., cardboard, plastic, metal)7 values	cardboard
`origin_street_address`	string	Street address of the shipment origin	33 Rosewood Ave
`origin_city`	string	City of the shipment origin	Dallas
`origin_state`	string	State or region of the shipment origin	TX
`origin_postal_code`	string	Postal code of the shipment origin	75220
`origin_country`	string	Country of the shipment origin	USA
`destination_street_address`	string	Street address of the shipment destination	18 Jardin St
`destination_city`	string	City of the shipment destination	San Jose
`destination_state`	string	State or region of the shipment destination	CA
`destination_postal_code`	string	Postal code of the shipment destination	95113
`destination_country`	string	Country of the shipment destination	USA
`shipment_mode`	string	Mode of transportation used for shipment (e.g., air, sea, road, rail)air · sea · road · rail · other	road
`shipment_status`	string	Final outcome of the shipment (e.g., delivered, delayed, damaged, lost)6 values	delivered
`product_type`	string	Type of product shipped (e.g., electronics, apparel, food)optional	electronics
Numbers 9 columns
`package_length_cm`	float	Length of the package in centimeters0 or more	42.8
`package_width_cm`	float	Width of the package in centimeters0 or more	29.6
`package_height_cm`	float	Height of the package in centimeters0 or more	21.2
`package_weight_kg`	float	Weight of the package in kilograms0 or more	2.3
`waste_generated_kg`	float	Estimated weight of packaging waste generated per shipment in kilograms0 or more · optional	0.18
`packaging_efficiency_score`	float	Calculated efficiency score for packaging (e.g., ratio of package volume to product volume)0 to 1 · optional	0.92
`cost_usd`	float	Total cost of packaging and shipment in US dollars0 or more · optional	12.95
`product_weight_kg`	float	Weight of the product shipped in kilograms0 or more · optional	1.1
`product_volume_cm3`	float	Volume of the product shipped in cubic centimeters0 or more · optional	9200
Dates and times 2 columns
`shipment_date`	date	Date when the shipment was dispatched	2024-02-14
`delivery_date`	date	Date when the shipment was delivered or finalizedoptional	2024-02-16
True or false 1 column
`is_packaging_recyclable`	boolean	Indicates if the packaging material is recyclableoptional	true

Use it for

A logistics dashboard
The is_packaging_recyclable rate, package_length_cm by package_type and a breakdown of destination_country. Excel, Power BI or Tableau.
Why do the 23 crate rows have a mean package_length_cm of 178.7?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Shipments200
SHIP00142.8box
SHIP00225.2envelope
SHIP003120pallet
A software demo
Believable shipments with package_id, package_type and package_material to fill a screen in front of a buyer.

This dataset200 rows29 columns

Yours1,000 rows29 columnsorigin_street_address: UK only

blueprint · logistics-packaging-optimization-dataset

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 29 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

Log packaging type and size
Record shipment damage incidents
Track cost per packaging unit
Flag underperforming packaging

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: logistics-packaging-optimization-dataset

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A logistics dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Logistics

What should your data show?