E-commerce datasets

Customer data, transactions, product catalogs

  • 68 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 68 cover1 square = 1 dataset
  • Packaging & sustainability19
  • Orders, returns & payments18
  • Carts & conversion14
  • Vendors & suppliers10
  • Reviews & recommendations7
Grouped by dataset title and tags.

68 datasets · page 2 of 3

Showing all 24 on this page

Vendors & suppliers

Ethical Supplier Audit Trail

Audit trail of supplier sourcing practices in e-commerce

This dataset provides a detailed audit trail of supplier sourcing practices in e-commerce, focusing on ethical standards, compliance, and risk mitigation. It enables operational managers to track supplier performance over time, identify vulnerabilities, and reinforce supply chain sustainability through comprehensive scoring and risk flagging. The dataset is ideal for compliance monitoring, supplier risk assessment, and sustainability reporting.

22 cols

  • supplier_name
  • supplier_contact_name
  • auditor_name
  • ethical_score
  • +18
Open in factory
supplier_name
GreenLeaf Textiles
supplier_contact_name
Asha Kumar
auditor_name
David Fletcher

Vendors & suppliers

E-commerce Vendor Disruption Alerts

Real-time disruption alerts affecting e-commerce vendors

This dataset tracks real-time disruption alerts affecting e-commerce vendors, detailing the nature, severity, and geographic scope of events such as extreme weather, geopolitical incidents, and supply chain breakdowns. It enables SMB operators to monitor supplier risk, assess order impact, and coordinate timely responses to ensure business continuity and customer satisfaction.

16 cols

  • vendor_name
  • alert_datetime
  • disruption_type
  • disruption_subtype
  • +12
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vendor_name
BrightGoods
disruption_type
weather
disruption_subtype
flood

Packaging & sustainability

E-commerce Transaction Carbon Footprint

Breakdowns by product, shipping, and packaging

This dataset provides detailed, transaction-level estimates of carbon footprint for e-commerce purchases, including breakdowns by product, shipping, and packaging. It enables retailers to monitor environmental impact, report on sustainability initiatives, and identify high-impact areas for improvement. The inclusion of offset and certification data supports comprehensive sustainability analysis and reporting.

19 cols

  • transaction_datetime
  • carbon_footprint_total_kg
  • carbon_footprint_product_kg
  • carbon_footprint_shipping_kg
  • +15
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carbon_footprint_total_kg
6.3
carbon_footprint_product_kg
4.2
carbon_footprint_shipping_kg
1.7

Vendors & suppliers

E-commerce Vendor Sustainability Metrics

Emissions, resource consumption, waste management

This dataset provides detailed sustainability metrics for third-party vendors in e-commerce marketplaces, including emissions, resource consumption, waste management, and compliance with environmental standards. It enables benchmarking, ESG reporting, and responsible sourcing decisions by offering vendor-level, time-bound data suitable for analysis and regulatory compliance.

24 cols

  • vendor_name
  • sustainability_score
  • marketplace_name
  • reporting_period_start
  • +20
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vendor_name
Greenwise Trading
sustainability_score
86.3
marketplace_name
EcoMart

Vendors & suppliers

E-commerce Vendor ESG Scorecards

Environmental, social, and governance scores, risk levels, certifications

This dataset provides detailed ESG scorecards for e-commerce vendors, including environmental, social, and governance scores, risk levels, certifications, and compliance flags. It enables procurement teams and sustainability analysts to assess supplier risks, track improvements, and make data-driven sourcing decisions for responsible supply chain management.

20 cols

  • vendor_name
  • vendor_website
  • environmental_score
  • social_score
  • +16
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vendor_name
GreenTech Supplies
vendor_website
https://greentechsupplies.com
environmental_score
88.6

Packaging & sustainability

E-commerce Packaging Waste Audit

Product details, packaging types, material sustainability

This dataset provides detailed records of packaging waste generated from e-commerce orders, including product details, packaging types, material sustainability, and disposal methods. It enables analysts to identify high-waste products, optimize packaging choices, track ESG compliance, and monitor supply chain sustainability across geographic regions.

24 cols

  • packaging_type
  • packaging_material
  • packaging_weight_grams
  • packaging_volume_cm3
  • +20
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packaging_type
biodegradable pouch
packaging_material
biodegradable
packaging_weight_grams
18.2

Vendors & suppliers

E-commerce Vendor Fulfillment Anomaly Log

Anomaly types, severity, resolution status, and customer impact

This dataset logs detailed e-commerce order fulfillment anomalies across multiple vendors, including anomaly types, severity, resolution status, and customer impact. It enables supply chain analysts and operations managers to identify bottlenecks, monitor vendor performance, and proactively address fulfillment issues to improve resilience and customer satisfaction.

20 cols

  • vendor_name
  • anomaly_type
  • expected_fulfillment_date
  • actual_fulfillment_date
  • +16
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vendor_name
TechZone Inc.
anomaly_type
delay
severity_level
high

Vendors & suppliers

E-commerce Vendor Sustainability Compliance

Certification details, audit results, eco-impact scores

This dataset provides detailed tracking of sustainability compliance for e-commerce vendors, including certification details, audit results, eco-impact scores, and ethical sourcing status. It enables operational teams to monitor green practices, supports ESG reporting, and facilitates ethical supplier selection for responsible supply chain management.

19 cols

  • vendor_name
  • ethical_sourcing_compliant
  • certification_type
  • certification_issuer
  • +15
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vendor_name
EcoSupply Solutions
ethical_sourcing_compliant
true
certification_type
ISO 14001

Packaging & sustainability

E-commerce Transaction Carbon Impact

Breakdowns by product, packaging, delivery method, and logistics route

This dataset provides detailed, transaction-level estimates of carbon emissions for e-commerce orders, including breakdowns by product, packaging, delivery method, and logistics route. It enables sustainability managers and analysts to track, report, and optimize carbon impact across operations, supporting ESG compliance and strategic decision-making for greener supply chains.

25 cols

  • transaction_datetime
  • transport_mode
  • estimated_carbon_kg
  • carbon_breakdown_packaging_kg
  • +21
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transport_mode
air
estimated_carbon_kg
98.2
carbon_breakdown_packaging_kg
0.45

Orders, returns & paymentsTop 10 most opened

Order History

Order metadata, item-level details, shipping and tracking information

This dataset provides a detailed record of customer purchase histories, including order metadata, item-level details, shipping and tracking information, and customer lifetime value metrics. It enables comprehensive analysis of purchasing behavior, order fulfillment, and customer value for e-commerce businesses. The data is structured for easy integration with analytics platforms and supports advanced segmentation and forecasting.

23 cols

  • order_status
  • is_first_order
  • order_date
  • total_amount
  • +19
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order_status
delivered
is_first_order
false
total_amount
124.98

Carts & conversion

Shopping Cart Sessions

Session timing, cart composition, abandonment reasons, and recovery efforts

This dataset provides granular insights into shopping cart abandonment sessions, including session timing, cart composition, abandonment reasons, and recovery efforts. It is ideal for analyzing user behavior, optimizing recovery strategies, and improving e-commerce conversion rates through targeted interventions.

15 cols

  • session_start_time
  • session_end_time
  • session_duration_seconds
  • cart_value
  • +11
Open in factory
session_duration_seconds
188
cart_value
0
item_count
0

Reviews & recommendations

Product Reviews

Star ratings, review text, helpfulness votes, verified purchase status

This dataset provides detailed customer product reviews, including star ratings, review text, helpfulness votes, verified purchase status, and tracked responses from sellers or support teams. It enables comprehensive sentiment analysis, product feedback evaluation, and customer engagement tracking for e-commerce platforms.

13 cols

  • review_title
  • review_text
  • review_date
  • star_rating
  • +9
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review_title
Absolutely fantastic!
star_rating
5
helpful_votes
102

Orders, returns & payments

Price Lists

Historical price changes, discount tiers, promotional offers

This dataset provides a comprehensive record of product pricing, including historical price changes, discount tiers, promotional offers, effective dates, and currency codes. It enables detailed tracking and management of pricing strategies, supports multi-currency operations, and facilitates analysis of promotions and discount effectiveness over time.

14 cols

  • base_price
  • promotional_price
  • price_history_reference
  • product_name
  • +10
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base_price
19.99
promotional_price
17.99
product_name
Eco Widget

Orders, returns & payments

Product Catalog

SKUs, descriptions, pricing, categories, images, inventory status

This dataset provides a detailed, structured catalog of e-commerce products, including SKUs, descriptions, pricing, categories, images, inventory status, and store associations. It is ideal for powering online storefronts, supporting inventory management, and enabling advanced analytics for merchandising and sales optimization.

19 cols

  • product_name
  • sku
  • category_name
  • price
  • +15
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product_name
Wireless Bluetooth Headphones
sku
SKU-ELEC-001A9BC
category_name
Electronics - Audio

Orders, returns & payments

Refund Requests

Customer details, reasons, amounts, processing status, and resolution times

This dataset provides comprehensive records of product and service refund requests, including customer details, reasons, amounts, processing status, and resolution times. It enables analysis of refund patterns, operational efficiency, and customer satisfaction, supporting business decision-making and process optimization.

14 cols

  • refund_reason
  • refund_amount
  • request_date
  • currency
  • +10
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refund_amount
48.75
currency
USD
processing_status
pending

Orders, returns & payments

Sales Transactions

Product details, quantities, pricing, discounts, payment methods

This dataset provides granular, line-item records of point-of-sale transactions, including product details, quantities, pricing, discounts, payment methods, and references to customers and store locations. It is ideal for retail analytics, sales performance tracking, and customer behavior analysis, enabling businesses to optimize inventory, marketing, and operational strategies.

13 cols

  • transaction_datetime
  • product_name
  • quantity
  • unit_price
  • +9
Open in factory
product_name
Standard Widget
quantity
2
unit_price
23.5

Orders, returns & payments

Influencer Product Launch Delay Logs

Product delivery delays triggered by influencer-driven campaigns for SME e-commerce

This dataset provides detailed logs of product delivery delays triggered by influencer-driven campaigns for SME e-commerce brands, capturing key information about brands, influencers, campaigns, affected orders, and customers. It enables supply chain and marketing teams to analyze the causes and patterns of fulfillment disruptions during high-demand social media launches, supporting improved operational planning and customer experience management.

24 cols

  • influencer_name
  • product_name
  • delay_duration_days
  • delay_reason
  • +20
Open in factory
influencer_name
@luna_beauty
product_name
Radiant Serum
delay_duration_days
4

Carts & conversion

E-commerce Cart Abandonment Events

Session identifiers, product details, user context, timing

This dataset provides detailed records of e-commerce shopping cart abandonment events, including session identifiers, product details, user context, timing, and recovery outcomes. It enables in-depth analysis of abandonment patterns, user behavior, and the effectiveness of recovery strategies, making it valuable for optimizing conversion rates and customer retention.

20 cols

  • cart_abandoned_at
  • total_cart_value
  • cart_item_count
  • abandonment_reason
  • +16
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total_cart_value
62.5
cart_item_count
2
abandonment_reason
User left site

Orders, returns & payments

E-commerce Price Change Event Logs

Price updates, promotion triggers

This dataset records granular, time-stamped logs of price updates, promotion triggers, and inventory changes for online retail products, enabling dynamic pricing analysis and campaign ROI measurement. It is structured for easy integration with analytics platforms and supports detailed tracking of product, promotion, and inventory events across multiple sales channels.

18 cols

  • event_type
  • old_price
  • new_price
  • sku
  • +14
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event_type
price_update
old_price
249.99
new_price
239.99

Orders, returns & payments

Peer-to-Peer Marketplace Transaction Logs

Transaction records, product listings, user profiles

This dataset provides detailed event logs from a peer-to-peer digital marketplace, including transaction records, product listings, user profiles, and messaging exchanges. Its comprehensive structure supports e-commerce research, fraud detection, and behavioral analytics by capturing all interactions between buyers, sellers, and listings. The flat schema design ensures ease of integration with analytical tools and machine learning workflows.

27 cols

  • transaction_datetime
  • transaction_status
  • listing_title
  • listing_category
  • +23
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transaction_status
completed
listing_category
electronics
listing_price
999.99

Orders, returns & paymentsTop 10 most opened

Online Retail Product Return Analytics

Transaction details, customer demographics, product information

This dataset provides detailed, flat records of e-commerce product returns, including transaction details, customer demographics, product information, and reasons for return. It is designed for supply chain optimization, quality improvement, and customer experience analysis, enabling granular insights into return patterns and drivers across products and customer segments.

22 cols

  • time_to_return_days
  • return_reason
  • return_status
  • product_category
  • +18
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time_to_return_days
21
return_reason
defective
return_status
completed

Reviews & recommendations

AI-Ready Product Recommendation Logs

Session-level logs of product recommendations served to e-commerce users

This dataset provides detailed, session-level logs of product recommendations served to e-commerce users, capturing user interactions such as clicks and purchases, along with contextual information like device type, location, and experiment group. It is ideal for analyzing recommendation engine performance, optimizing personalization strategies, and conducting A/B testing to improve conversion rates.

15 cols

  • recommendation_rank
  • product_category
  • product_price
  • recommendation_context
  • +11
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recommendation_rank
1
product_category
electronics
product_price
299.99

Carts & conversionTop 10 most opened

E-commerce Shopping Cart Abandonment

Insights into user shopping sessions, cart interactions

This dataset provides granular insights into user shopping sessions, cart interactions, and abandonment behaviors on digital retail platforms. It includes session metadata, cart details, device and location information, and explicit abandonment reasons, enabling robust conversion rate analysis and personalized marketing strategies.

26 cols

  • cart_created_time
  • cart_updated_time
  • cart_total_items
  • cart_total_value
  • +22
Open in factory
cart_total_items
2
cart_total_value
76.5
cart_currency
USD

Carts & conversionTop 10 most opened

Product Recommendations Clickstream

Click events, session information, device context

This dataset records detailed user interactions with product recommendations on e-commerce platforms, including click events, session information, device context, and recommendation metadata. It enables businesses to analyze user behavior, optimize recommendation algorithms, and improve conversion rates by understanding which products and placements drive engagement.

13 cols

  • position_in_recommendation
  • clicked
  • device_type
  • user_agent
  • +9
Open in factory
position_in_recommendation
1
clicked
true
device_type
desktop

What’s inside. Column by column.

Columns and codes found in the sample rows of all 68 e-commerce datasets.

Most common columnsDatasets, of 68
  1. product_id27
  2. customer_id25
  3. order_id17
  4. product_name16
  5. user_id16
  6. device_type15
  7. supplier_name15
  8. session_id14
  9. supplier_id14
A person from the Product Recommendation Dataset datasetGenerated
customer_first_name
Alex
customer_last_name
Jones
customer_gender
male
shipping_city
New York

Generated

Standard codes in the sample rowsDatasets, of 68
  1. ISO 3166 countries43
  2. ISO 4217 currencies12

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • £5+ shipping: 2× abandonment
  • Real product categories
  • 3% missing basket values
Preview 20 rows freeNo signup. No card.
Abandonment by shipping cost
0%40%80%31%Free38%£1–566%£5+1
Sample rows for: Shopping sessions where carts with shipping over £5 are abandoned twice as often, with real product categories and 3% of basket values missing.
shipping_gbpcategorybasket_gbpabandoned
5.99Home & Garden64.20yes
0.00Beauty28.50no
6.49Electronics—yes
3.99Fashion41.00no

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