Other18 cols · 200 rows
This dataset provides detailed transaction-level sales data from small local retailers, including product, payment, and retailer information. It enables comprehensive analysis of sales trends, business performance, and consumer behavior, supporting decision-making for retail operations and market research.
| retailer_name | product_name | product_category |
|---|
| SuperMart Downtown | Organic Milk Gallon | Grocery |
| ElectroHub | Bluetooth Headphones | Electronics |
| Fashionista | Summer Dress | Apparel |
transaction_idtransaction_dateretailer_id+12 more
E-commerce13 cols · 200 rows
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.
| product_name | quantity | payment_method |
|---|
| Standard Widget | 2 | credit_card |
| Promo Mug | 1 | cash |
| Premium Headphones | 1 | debit_card |
transaction_idtransaction_datetimecustomer_id+7 more
E-commerce23 cols · 200 rows
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.
| order_status | currency | item_name |
|---|
| delivered | USD | Wireless Mouse |
| shipped | CNY | Smartphone Stand |
| delivered | EUR | Yoga Mat |
order_idcustomer_idcustomer_email+17 more
Healthcare25 cols · 200 rows
This dataset provides detailed, line-level records of pharmacy retail purchase events, including both over-the-counter and prescription medications. Each record captures transaction details, customer demographics (where available), product specifics, payment method, and prescription information, enabling comprehensive analysis of purchasing patterns, health trends, and market basket behaviors.
| store_name | product_name | product_category |
|---|
| RxMart Downtown | Vitamin D3 Gummies | supplement |
| CareFirst Pharmacy | Ibuprofen Tablets | analgesic |
| MediQuick Central | Metformin HCl | antidiabetic |
transaction_idtransaction_datetimestore_id+19 more
Marketing18 cols · 200 rows
This dataset provides granular sales transaction records enriched with detailed promotion and campaign information, enabling precise uplift analysis for retail marketing teams. It supports measurement of promotional effectiveness across products, stores, channels, and customer segments, making it ideal for optimizing campaign strategies and maximizing ROI.
| store_region | product_category | promotion_type |
|---|
| Pacific | Electronics | – |
| South | Groceries | discount |
| Central | Clothing | – |
transaction_idtransaction_datestore_id+12 more
E-commerce22 cols · 200 rows
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.
| product_name | return_reason | refund_amount |
|---|
| UltraHD Smart TV 55in | defective | 449.99 |
| Womens Summer Dress L | size issue | 39.99 |
| Modern Floor Lamp Black | not as described | 125 |
time_to_return_daysreturn_methodcustomer_country+16 more
E-commerce20 cols · 85 rows
This dataset provides granular insights into shopping cart abandonment by capturing detailed session-level data, including customer behavior, checkout progression, device and location context, and abandonment reasons. It enables retailers to identify key drop-off points, analyze abandonment patterns, and recommend targeted website improvements to reduce lost revenue.
| abandoned | abandonment_stage | device_type |
|---|
| true | shipping | desktop |
| true | cart | mobile |
| false | completed | desktop |
session_idcustomer_idsession_start_time+14 more
E-commerce26 cols · 200 rows
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.
| cart_currency | abandoned | device_type |
|---|
| USD | false | desktop |
| USD | true | mobile |
| EUR | false | tablet |
session_iduser_idsession_start_time+20 more
Marketing19 cols · 120 rows
This dataset provides a comprehensive view of customer purchase frequency patterns, including total purchases, recency, spending, and lapsed status. It is designed to support marketing optimization, retention analysis, and win-back campaign targeting by offering actionable insights into customer engagement and churn risk.
| first_name | last_name | is_lapsed |
|---|
| Marina | Dupont | false |
| Jason | Richards | false |
| Naoko | Murakami | true |
customer_idemailsignup_date+13 more
Other15 cols · 200 rows
This dataset provides anonymized, daily foot traffic counts for physical retail locations, enriched with store details, holiday indicators, weather conditions, and special event annotations. It enables robust sales forecasting, staffing optimization, and marketing campaign impact analysis by correlating footfall with external factors and store attributes.
| store_name | day_of_week | is_holiday |
|---|
| FreshMart Downtown | Friday | false |
| MegaMart Uptown | Saturday | false |
| Boutique Parisienne | Friday | true |
foot_traffic_idstore_idstore_street_address+9 more
E-commerce12 cols · 200 rows
This dataset contains detailed e-commerce product reviews, including review text, star ratings, sentiment labels, and metadata such as helpful votes and verified purchase status. It is ideal for training and evaluating sentiment analysis models, understanding customer feedback, and powering recommendation engines. The rich structure supports both NLP research and practical business applications.
| product_name | review_title | sentiment_label |
|---|
| Wireless Bluetooth Earbuds | Amazing Sound Quality! | positive |
| Stainless Steel Water Bottle | Keeps Drinks Cold For Hours | positive |
| Foldable Laptop Stand | Makes Working Easier | positive |
review_idproduct_iduser_id+6 more
Other20 cols · 200 rows
This dataset provides detailed, time-stamped records of local food delivery orders, including customer demographics, restaurant information, ordered items, payment methods, and delivery outcomes. It enables granular analysis of demand patterns, peak ordering times, and customer preferences, supporting operational optimization and targeted marketing strategies.
| customer_gender | restaurant_name | delivery_status |
|---|
| female | Sushi Zen | delivered |
| male | Burger House | delivered |
| prefer_not_to_say | Cafe Paris | pending |
order_idorder_datetimecustomer_id+14 more