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.

Showing all 24 on this page

Supply chain & suppliers

Local Market Price Comparison Data

Detailed market and product attributes, price statistics

This dataset provides weekly comparative pricing for goods across local markets, including detailed market and product attributes, price statistics, and contextual information. It enables supply chain professionals, retailers, and analysts to track price trends, benchmark across locations, and optimize pricing strategies for maximum profitability and competitiveness.

20 cols

market_name
average_price
min_price
max_price
+16

Open in factory

market_name: San Francisco Farmers Market
average_price: 4.15
min_price: 4

Cold chain

Supply Chain Warehouse Temperature Logs

Sensor metadata, location details, and compliance status

This dataset provides granular, hourly temperature and humidity logs from supply chain warehouses, including sensor metadata, location details, and compliance status. It is ideal for regulatory audits, anomaly detection, and benchmarking IoT sensor performance across diverse warehouse environments.

17 cols

warehouse_name
temperature_celsius
sensor_type
humidity_percent
+13

Open in factory

warehouse_name: Chicago Cold Storage
temperature_celsius: -18.2
sensor_type: TempSense Pro V2

Warehousing & inventory

Retail Inventory Replenishment Records

Store location, product details, supplier information, quantities, costs

This dataset contains detailed records of retail inventory replenishment events, including store location, product details, supplier information, quantities, costs, and stock levels before and after each event. It enables robust inventory management, supply chain analysis, and forecasting of replenishment trends across multiple retail locations.

22 cols

quantity_replenished
replenishment_method
replenishment_status
replenishment_date
+18

Open in factory

quantity_replenished: 85
replenishment_method: automatic
replenishment_status: completed

Supply chain & suppliers

Food Supply Chain Traceability

Batch identifiers, location history, certification, and recall status

This dataset provides comprehensive traceability records for food items as they move from origin to retail, including batch identifiers, location history, certification, and recall status. It enables robust compliance checks, supply chain transparency, and rapid response to safety incidents, making it invaluable for food safety, regulatory reporting, and operational analytics.

37 cols

item_name
item_category
origin_type
origin_name
+33

Open in factory

item_name: Gala Apples
item_category: produce
origin_type: farm

Delivery & routing

Supply Chain Route Efficiency Data

Origin and destination details, shipment characteristics, timing, cost

This dataset provides granular, route-level supply chain logistics data including origin and destination details, shipment characteristics, timing, cost, carrier information, and efficiency metrics. It is designed for advanced analytics and machine learning applications to optimize route planning, reduce costs, and improve sustainability in logistics operations.

34 cols

actual_route_distance_km
planned_route_distance_km
total_route_cost_usd
route_efficiency_score
+30

Open in factory

actual_route_distance_km: 1270.6
planned_route_distance_km: 1255
total_route_cost_usd: 3120.5

Delivery & routing

Logistics Fleet Route Optimization Data

Vehicle and driver assignments, departure and arrival details, stop counts

This dataset provides granular delivery route logs for logistics fleets, including vehicle and driver assignments, departure and arrival details, stop counts, delays, fuel usage, and route outcomes. It enables comprehensive route optimization, cost analysis, and operational efficiency improvements for logistics and supply chain management teams.

24 cols

route_duration_minutes
departure_datetime
planned_stops_count
actual_stops_count
+20

Open in factory

route_duration_minutes: 235
planned_stops_count: 3
actual_stops_count: 3

Supply chain & suppliers

Supply Chain Disruption Simulations

Impacts on logistics network nodes, delivery times, inventory levels

This dataset provides detailed synthetic scenarios of supply chain disruptions, including impacts on logistics network nodes, delivery times, inventory levels, rerouting events, and financial consequences. It enables robust analysis and modeling of supply chain resilience strategies for risk mitigation and operational planning.

18 cols

disruption_type
disruption_start_date
disruption_end_date
scenario_name
+14

Open in factory

disruption_type: natural_disaster
scenario_name: Flooding at Supplier Hub
network_node_type: supplier

Delivery & routing

E-commerce Delivery Address Validation Logs

Error codes, resolution status, and logistics region mapping

This dataset provides granular logs of delivery address entry and validation attempts across e-commerce platforms, including error codes, resolution status, and logistics region mapping. It enables detailed analysis of address quality, user correction behavior, and operational bottlenecks, supporting both logistics optimization and improvements to user experience.

17 cols

validation_attempt
validation_status
error_code
error_message
+13

Open in factory

validation_attempt: 1
validation_status: success
resolution_status: not-required

Shipments & tracking

Automated Supply Chain Exception Tracking

Supply chain process exceptions, detailing their types, root causes

This dataset provides comprehensive tracking of supply chain process exceptions, detailing their types, root causes, resolution actions, and impact levels. It enables organizations to identify patterns, assign responsibility, and implement preventive measures, supporting logistics risk mitigation and continuous process improvement. The dataset is ideal for operational analytics, root cause analysis, and supply chain optimization.

19 cols

exception_type
exception_reported_by
exception_date
process_stage
+15

Open in factory

exception_type: delay
exception_reported_by: proc_sys_A1
process_stage: procurement

Warehousing & inventory

Warehouse Autonomous Robot Movement Logs

Navigation coordinates, task execution, obstacle encounters

This dataset provides detailed, timestamped logs of autonomous robot movements in logistics warehouses, including navigation coordinates, task execution, obstacle encounters, and battery metrics. Designed for robotics and AI research, it enables analysis of workflow automation, path optimization, and operational safety. Rich contextual fields support advanced analytics and machine learning applications.

20 cols

task_type
task_status
start_location_x
start_location_y
+16

Open in factory

task_type: navigation
task_status: completed
start_location_x: 18.6

Warehousing & inventory

Warehouse Worker Safety Incident Logs

Incident types, locations, outcomes, and compliance actions

This dataset provides detailed, structured logs of warehouse worker safety incidents, including incident types, locations, outcomes, and compliance actions. It enables organizations to monitor workplace safety, identify risk patterns, and support regulatory reporting and risk reduction strategies. The dataset is ideal for safety analytics, compliance audits, and operational improvement initiatives.

23 cols

incident_time
warehouse_name
worker_name
worker_role
+19

Open in factory

warehouse_name: Omega Depot
worker_name: Devin Martinez
worker_role: picker

Warehousing & inventory

Smart Retail Shelf Stock Analytics

Event-level logs from IoT sensors and cameras monitoring shelf stock levels

This dataset provides detailed, event-level logs from IoT sensors and cameras monitoring shelf stock levels, product movements, and replenishment activities in digital retail environments. It enables comprehensive analysis for inventory optimization, loss prevention, and operational efficiency, making it invaluable for smart retail management and real-time analytics.

18 cols

stock_quantity
product_name
product_category
event_type
+14

Open in factory

stock_quantity: 18
product_name: Crispy Chips
product_category: snacks

Warehousing & inventory

Warehouse Pick Path Optimization

Spatial coordinates, speed, route adherence, and environmental factors

This dataset provides detailed event logs of warehouse picker movements, including spatial coordinates, speed, route adherence, and environmental factors. It is ideal for developing AI-powered routing models, analyzing operational efficiency, and identifying bottlenecks or deviations in warehouse picking processes.

19 cols

is_pick_event
aisle
location_x
location_y
+15

Open in factory

is_pick_event: false
aisle: A2
location_x: 12.3

Warehousing & inventory

Warehouse Inventory Location Mapping

Mapping of warehouse inventory items to their precise locations

This dataset provides a comprehensive mapping of warehouse inventory items to their precise locations, tracks movement events, and measures space utilization. It enables detailed analysis for logistics optimization, smart warehouse planning, and operational efficiency improvements by capturing item-level, location-level, and movement-level data.

19 cols

warehouse_name
location_type
last_inventory_check_date
item_sku
+15

Open in factory

warehouse_name: Central Distribution
location_type: rack
item_sku: SKU-10001

Delivery & routing

Last-Mile Delivery Delay Factors

Route assignments, vehicle and driver data, live traffic

This dataset provides granular details on last-mile parcel deliveries, including route assignments, vehicle and driver data, live traffic and weather conditions, and delay events with reasons and durations. It enables logistics companies to optimize delivery efficiency, analyze delay factors, and build predictive models for operational improvements.

25 cols

scheduled_delivery_datetime
actual_delivery_datetime
delivery_status
delay_reason
+21

Open in factory

delivery_status: delivered
traffic_condition: normal
weather_condition: clear

Delivery & routingTop 10 most opened

Supply Chain Delivery Delay Logs

Shipment details, scheduled and actual delivery dates, delay durations

This dataset provides detailed logs of global supply chain delivery events, including shipment details, scheduled and actual delivery dates, delay durations, reasons for delays, and anomalies encountered. It is ideal for machine learning applications in delay prediction, risk assessment, and supply chain optimization, offering granular insights into operational bottlenecks and logistics performance.

29 cols

delay_duration_hours
delay_reason
delay_severity
scheduled_delivery_date
+25

Open in factory

delay_duration_hours: 24
delay_reason: weather
delay_severity: minor

Warehousing & inventoryTop 10 most opened

Warehouse Inventory Movement Dataset

Timestamped logs of warehouse inventory movements

This dataset provides detailed, timestamped logs of warehouse inventory movements, capturing item identifiers, source and destination locations, movement triggers, and inventory levels before and after each event. It enables comprehensive analysis for process optimization, loss prevention, and predictive modeling in warehouse operations.

17 cols

movement_datetime
inventory_level_before
inventory_level_after
item_name
+13

Open in factory

inventory_level_before: 8000
inventory_level_after: 3200
item_name: UltraSoft Bath Towels

Delivery & routingTop 10 most opened

Delivery Route Optimization Dataset

Geospatial coordinates, stop sequences, package details

This dataset provides comprehensive synthetic records of last-mile delivery routes, including geospatial coordinates, stop sequences, package details, resource allocation, and contextual factors like weather and traffic. It is optimized for machine learning applications in route recommendation, delay prediction, and logistics resource planning, supporting both operational analytics and AI-driven optimization.

28 cols

route_start_time
route_end_time
route_distance_km
route_duration_minutes
+24

Open in factory

route_distance_km: 18.4
route_duration_minutes: 135
delivery_status: delivered

Warehousing & inventory

Warehouse Picking Error Dataset

Error flags, types, and resolutions, along with picker

This dataset provides granular records of warehouse picking events, including error flags, types, and resolutions, along with picker and supervisor identifiers, item details, and timing metrics. It enables comprehensive analysis of operational efficiency, error patterns, and process improvements in warehouse management. Ideal for logistics optimization, workforce training evaluation, and root cause analysis.

16 cols

pick_error_flag
error_type
pick_datetime
item_sku
+12

Open in factory

pick_error_flag: false
item_sku: SKU-A123
quantity_picked: 1

Warehousing & inventory

Order Fulfillment Bottleneck Dataset

Timestamps, process steps, responsible teams, and resolution actions

This dataset provides granular logs of order lifecycles and bottleneck events within fulfillment processes, including timestamps, process steps, responsible teams, and resolution actions. It enables detailed analysis of throughput, delay sources, and process optimization opportunities for logistics and supply chain operations.

25 cols

order_created_datetime
order_status
order_total_amount
order_priority
+21

Open in factory

order_status: delivered
order_total_amount: 78.25
order_priority: standard

Supply chain & suppliers

Supply Chain Disruption Patterns

Node information, disruption types, impact severity, financial losses

This dataset provides detailed synthetic records of supply chain disruption events, including node information, disruption types, impact severity, financial losses, and mitigation actions. It is designed to support resilience analytics, risk mitigation planning, and supply chain optimization for organizations seeking to understand and manage supply chain vulnerabilities.

18 cols

disruption_type
disruption_start_date
disruption_end_date
node_type
+14

Open in factory

disruption_type: natural_disaster
node_type: supplier
node_name: Global Steel Supplies

Warehousing & inventory

Warehouse Storage Utilization Rates

Capacity, occupancy, and inventory turnover rates by storage area

This dataset provides granular warehouse storage utilization metrics, including capacity, occupancy, and inventory turnover rates by storage area and location. It enables warehouse managers and logistics analysts to optimize layouts, monitor performance, and improve inventory efficiency across multiple sites. The data supports operational decision-making and strategic planning for supply chain management.

17 cols

warehouse_name
storage_area_name
storage_type
utilization_rate_percent
+13

Open in factory

warehouse_name: Chicago Distribution Center
storage_area_name: Pallet Zone A1
storage_type: pallet

Delivery & routing

Last-Mile Delivery Route Efficiency

Planned and actual timings, stop-level performance, delay analysis

This dataset provides granular, route-level metrics for last-mile delivery operations, including planned and actual timings, stop-level performance, delay analysis, and contextual factors such as region and weather. It enables logistics companies to benchmark route efficiency, identify bottlenecks, and optimize delivery processes for improved customer satisfaction and operational cost savings.

21 cols

on_time_delivery_rate
route_efficiency_score
delivery_date
planned_start_time
+17

Open in factory

on_time_delivery_rate: 91.67
route_efficiency_score: 0.89
total_stops: 12

Shipments & tracking

Logistics Shipment Tracking Events

Delivery milestones, carrier details, exceptions, and location data

This dataset provides granular, time-stamped records of logistics shipment events, including delivery milestones, carrier details, exceptions, and location data. It enables technology providers and logistics teams to track shipment progress, analyze delivery performance, and proactively manage exceptions for predictive analytics and operational optimization.

20 cols

event_type
event_status
location_name
milestone_code
+16

Open in factory

event_type: pickup
event_status: completed
location_name: Chicago Distribution Center

What’s inside. Column by column.

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

Most common columnsDatasets, of 205

shipment_id54
destination_country49
destination_city44
supplier_id42
supplier_name42
destination_state40
origin_country39
route_id36
vehicle_id36

Standard codes in the sample rowsDatasets, of 205

ISO 3166 countries147
ISO 4217 currencies5
NDC drug products1
HS code traded goods1
ISO 6346 shipping containers1

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

Your sentence

Rural drops late 2×
Real UK postcodes
2% missing scans

Preview 20 rows freeNo signup. No card.

Late deliveries by area

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.
area	postcode	scan_time	late
Rural	TD9 7PQ	14:32	yes
Urban	M1 4BT	09:15	no
Rural	PH17 2QJ	—	yes
Suburban	LS17 6DW	11:48	no

A pattern you asked for Everything else

What should your data show?

No signup. No card.