Logistics23 columns

E-commerce Last-Mile Impact Tracker

This dataset provides granular tracking of last-mile e-commerce deliveries, capturing operational details, vehicle and route information, and estimated carbon emissions. It enables digital operations managers to analyze delivery patterns, optimize routes, and assess the effectiveness of sustainability initiatives, supporting data-driven decisions to minimize environmental impact.

opened 0 timeslast updated 23 Dec 2025by GoMask
The brief that made it
Monitor and report carbon footprint of e-commerce deliveries
Blueprint
blueprint · 23 columns
columntypedescription
delivery_idstringUnique identifier for each last-mile delivery event
order_idstringUnique identifier for the e-commerce order associated with the delivery
delivery_datedateDate when the delivery was completed
delivery_time_window_startdatetimeScheduled start time for the delivery window
delivery_time_window_enddatetimeScheduled end time for the delivery window
actual_delivery_timedatetimeActual timestamp when the delivery was made
delivery_vehicle_idstringUnique identifier for the vehicle used for delivery
vehicle_typestringType of vehicle used for delivery (e.g., van, bike, electric vehicle)
vehicle_fuel_typestringFuel type used by the delivery vehicle (e.g., diesel, petrol, electric)
route_distance_kmfloatTotal distance covered during the last-mile delivery route, in kilometers
route_duration_minutesfloatTotal duration of the delivery route, in minutes
delivery_address_streetstringStreet address of the delivery destination
delivery_address_citystringCity of the delivery destination
delivery_address_statestringState or region of the delivery destination
delivery_address_postal_codestringPostal code of the delivery destination
delivery_address_countrystringCountry of the delivery destination
number_of_packagesintegerNumber of packages delivered in this event
package_total_weight_kgfloatTotal weight of all packages delivered, in kilograms
carbon_emissions_kgfloatEstimated carbon emissions for the delivery event, in kilograms
delivery_statusstringStatus of the delivery (e.g., completed, failed, delayed)
route_optimization_appliedbooleanIndicates if route optimization was applied for this delivery
sustainability_measures_appliedbooleanIndicates if sustainability measures (e.g., eco-routing, green packaging) were applied
notesstringAdditional notes or comments about the delivery event
Sample rows
preview · 4 of 60 rows
delivery_idorder_iddelivery_datedelivery_time_window_startdelivery_time_window_end
DEL-00001ORD-101012024-06-012024-06-01T09:00:002024-06-01T12:00:00
DEL-00002ORD-101022024-06-022024-06-02T14:00:002024-06-02T16:00:00
DEL-00003ORD-101032024-06-032024-06-03T08:30:002024-06-03T11:00:00
DEL-00004ORD-101042024-06-042024-06-04T13:00:002024-06-04T15:00:00
Behind this dataset
blueprint · e-commerce-last-mile-impact-tracker

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 23 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.

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