Logistics datasets

Shipping data, inventory management, supply chain

  • 205 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 205 cover1 square = 1 dataset
  • Supply chain & suppliers51
  • Delivery & routing47
  • Warehousing & inventory41
  • Emissions & ESG33
  • Shipments & tracking21
  • Cold chain12
Grouped by dataset title and tags.

205 datasets · page 9 of 9

Showing all 13 on this page

Warehousing & inventoryTop 10 most opened

Supply Chain Inventory Movements

Incoming and outgoing shipments, stockouts, and resulting inventory levels

This dataset provides granular, timestamped records of inventory movements across multiple locations, including incoming and outgoing shipments, stockouts, and resulting inventory levels. It enables comprehensive supply chain analysis, demand forecasting, and real-time stockout monitoring, making it valuable for optimizing inventory management and logistics operations.

14 cols

  • movement_type
  • movement_quantity
  • movement_datetime
  • current_inventory_level
  • +10
Open in factory
movement_type
incoming
movement_quantity
8500
current_inventory_level
8500

Delivery & routing

Logistics Delivery Delay Causes

Origin and destination addresses, scheduled and actual delivery dates

This dataset provides detailed records of logistics shipments, including origin and destination addresses, scheduled and actual delivery dates, and comprehensive information on the causes and duration of delivery delays. It enables in-depth analysis of delay patterns, supports predictive analytics for on-time delivery, and helps optimize logistics operations and route planning.

25 cols

  • is_delayed
  • delay_duration_days
  • delay_causes
  • primary_delay_cause
  • +21
Open in factory
is_delayed
false
delay_duration_days
0
carrier_name
FastTrack Logistics

Shipments & tracking

Cross-Border Logistics Cost Analysis

Customs duties, tariffs, carrier and route information

This dataset provides a detailed breakdown of international shipment costs, including customs duties, tariffs, carrier and route information, and cost components such as freight, insurance, and handling. It enables granular analysis of cost drivers and operational factors in cross-border logistics, supporting optimization and benchmarking efforts for global supply chains.

26 cols

  • freight_cost_usd
  • insurance_cost_usd
  • total_cost_usd
  • carrier_name
  • +22
Open in factory
freight_cost_usd
4100.75
insurance_cost_usd
400
total_cost_usd
8331

Delivery & routing

Last-Mile Delivery Route Data

Stop-level outcomes, timing, geolocation, and package details

This dataset provides granular, real-world data on last-mile delivery routes, including stop-level outcomes, timing, geolocation, and package details. It enables robust analysis for optimizing logistics operations, improving route efficiency, and enhancing ETA predictions. Designed for use in logistics analytics, routing algorithm development, and operational performance benchmarking.

26 cols

  • delivery_status
  • delivered_package_count
  • route_date
  • stop_sequence
  • +22
Open in factory
delivery_status
delivered
delivered_package_count
3
stop_sequence
1

Warehousing & inventory

Order Fulfillment Status Timeline

Delay tracking and responsible parties

This dataset provides a detailed, timestamped record of every status update for orders as they move through the fulfillment process, including delay tracking and responsible parties. It enables logistics teams to monitor order progress, identify process bottlenecks, and analyze operational efficiency across facilities and staff. The dataset is ideal for root cause analysis, performance benchmarking, and real-time logistics monitoring.

10 cols

  • status
  • expected_next_status
  • location
  • handled_by
  • +6
Open in factory
status
pending
expected_next_status
processing
location
NYC_DC01

Supply chain & suppliersTop 10 most opened

Supplier Lead Time Variability

Supplier lead time performance by recording both promised

This dataset provides detailed tracking of supplier lead time performance by recording both promised and actual delivery dates for each purchase order, along with item, quantity, and status information. It enables procurement teams to analyze supplier reliability, identify patterns in delivery delays, and optimize supply chain planning. The data supports actionable insights for improving supplier relationships and reducing inventory risk.

19 cols

  • supplier_name
  • promised_lead_time_days
  • actual_lead_time_days
  • lead_time_variance_days
  • +15
Open in factory
supplier_name
Alpha Supplies Inc.
promised_lead_time_days
12
actual_lead_time_days
11

Delivery & routing

Package Damage Incident Records

Damage type, severity, suspected causes, locations, and resolution outcomes

This dataset provides detailed records of package damage incidents during shipping, including damage type, severity, suspected causes, locations, and resolution outcomes. It enables logistics providers and analysts to identify root causes, track trends, and improve shipping processes, while also supporting insurance claims and compensation analysis. The dataset's granular structure supports operational monitoring and strategic decision-making for logistics and supply chain management.

30 cols

  • incident_datetime
  • damage_type
  • damage_severity
  • package_weight_kg
  • +26
Open in factory
damage_type
crushed
damage_severity
moderate
package_weight_kg
7.2

Delivery & routing

Vehicle Load Capacity Utilization

Vehicle load capacity utilization, capturing details on transported loads

This dataset provides granular records of vehicle load capacity utilization, capturing details on transported loads, vehicle specifications, trip routes, and efficiency metrics. It enables logistics and transportation teams to analyze fleet performance, optimize load distribution, and reduce operational costs through data-driven insights.

20 cols

  • vehicle_type
  • vehicle_capacity_kg
  • actual_load_kg
  • utilization_percent
  • +16
Open in factory
vehicle_type
truck
vehicle_capacity_kg
18000
actual_load_kg
16100

Warehousing & inventory

Order Fulfillment Status Checklist

Step-by-step tracking of logistics order fulfillment, capturing timestamps

This dataset provides detailed, step-by-step tracking of logistics order fulfillment, capturing timestamps, statuses, responsible parties, and delay reasons for each stage in the process. It enables real-time monitoring of order progress, identification of bottlenecks, and proactive management of delivery timelines. The flat structure supports integration with analytics platforms and operational dashboards for supply chain optimization.

22 cols

  • order_status
  • fulfillment_step
  • step_status
  • order_date
  • +18
Open in factory
order_status
processing
fulfillment_step
picked
step_status
in_progress

Shipments & tracking

Shipment Delay Root Causes

Root causes, delay durations, responsible parties, and SLA violations

This dataset provides granular details on shipment delays within a logistics network, including root causes, delay durations, responsible parties, and SLA violations. It enables deep analysis of delay patterns, supports process optimization, and helps drive compliance with service level agreements. The dataset is ideal for logistics performance monitoring, root cause analysis, and continuous improvement initiatives.

23 cols

  • delay_duration_hours
  • delay_root_cause
  • delay_sub_cause
  • shipment_mode
  • +19
Open in factory
delay_duration_hours
0
delay_root_cause
Traffic Congestion
shipment_mode
Road

Warehousing & inventory

Warehouse Inventory Turnover

Product inventory turnover across multiple warehouses

This dataset provides detailed records of product inventory turnover across multiple warehouses, capturing product movement, stock levels, and key performance metrics over specified periods. It enables logistics firms to analyze inventory efficiency, optimize stock levels, reduce carrying costs, and minimize out-of-stock events. The dataset is ideal for supply chain optimization, demand forecasting, and warehouse performance benchmarking.

24 cols

  • warehouse_name
  • inventory_period_start
  • inventory_period_end
  • beginning_inventory_qty
  • +20
Open in factory
warehouse_name
Central Distribution
inventory_period_start
2024-01-01
inventory_period_end
2024-01-31

Delivery & routing

Fleet Maintenance Scheduling

Scheduling, completion, costs, downtime, and detailed vehicle

This dataset provides comprehensive records of fleet vehicle maintenance events, including scheduling, completion, costs, downtime, and detailed vehicle and location information. It enables logistics and transport firms to optimize maintenance schedules, reduce operational disruptions, and extend asset lifespans through data-driven insights. The dataset is ideal for predictive maintenance, compliance tracking, and operational efficiency analysis.

26 cols

  • maintenance_type
  • maintenance_cost
  • maintenance_status
  • scheduled_date
  • +22
Open in factory
maintenance_type
preventive
maintenance_cost
240.5
maintenance_status
completed

Delivery & routing

Delivery Route Optimization

Delivery routes, vehicle and driver assignments, individual delivery stops

This dataset provides granular details on delivery routes, vehicle and driver assignments, individual delivery stops, package metrics, and customer feedback. It enables logistics companies to optimize routes, reduce operational costs, and improve delivery performance through actionable insights and analytics. The dataset is ideal for route optimization, fuel cost analysis, and enhancing customer satisfaction.

26 cols

  • route_start_time
  • route_end_time
  • delivery_sequence
  • delivery_scheduled_time
  • +22
Open in factory
delivery_sequence
1
delivery_status
completed
total_distance_km
87.5

What’s inside. Column by column.

Columns and codes found in the sample rows of all 205 logistics datasets.

Most common columnsDatasets, of 205
  1. shipment_id54
  2. destination_country49
  3. destination_city44
  4. supplier_id42
  5. supplier_name42
  6. destination_state40
  7. origin_country39
  8. route_id36
  9. vehicle_id36
Standard codes in the sample rowsDatasets, of 205
  1. ISO 3166 countries147
  2. ISO 4217 currencies5
  3. NDC drug products1
  4. HS code traded goods1
  5. ISO 6346 shipping containers1

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • Rural drops late 2×
  • Real UK postcodes
  • 2% missing scans
Preview 20 rows freeNo signup. No card.
Late deliveries by area
0%12.5%25%8%City centre9%Urban11%Suburban22%Rural1
Sample rows for: Last-mile deliveries from 8 depots, where rural drops arrive late twice as often as urban ones, with real UK postcodes and 2% of scan times missing.
areapostcodescan_timelate
RuralTD9 7PQ14:32yes
UrbanM1 4BT09:15no
RuralPH17 2QJ—yes
SuburbanLS17 6DW11:48no

A pattern you asked for Everything else

What should your data show?

Preview 20 rows free
No signup. No card.