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Purchase Datasets


Enter a value between 10 and 100000. Only whole numbers are allowed.


**These datasets are for educational purposes only. Any misuse for illegal or unethical activities is strictly prohibited. All generated data is fictional and has no real-world validity.

Features

  • Comprehensive purchase and customer data for sales analysis
  • Includes transaction history, payment details, and product information
  • Useful for AI, machine learning, and market trend analysis
  • Available in CSV and Excel formats

Available Datasets

1. Customer Information Dataset

Includes customer demographics, contact details, and purchase frequency.

Customer ID First Name Last Name Email Phone Number Address City State Postal Code Country Date of Birth Gender Account Creation Date Preferred Language
CUST1001 Emma Johnson emma.johnson@example.com +1-555-2389 321 Elm St Seattle WA 98101 USA 1988-06-15 Female 2021-01-12 English

2. Transaction Data Dataset

Contains details of purchases, including transaction ID, amount, date, and payment method.

Transaction ID Customer ID Transaction Date Amount Payment Method Discount Applied Shipping Fee Transaction Status Items Purchased Shipping Address Billing Address
TXN7501 CUST1001 2024-03-21 89.99 Credit Card 10% 4.99 Completed 3 321 Elm St, Seattle, WA 321 Elm St, Seattle, WA

3. Product Details Dataset

Records product categories, brands, and pricing information.

Product ID Product Name Category Price Stock Availability SKU Supplier Product Description Weight (kg) Dimensions (cm) Manufacture Date
PROD2503 Bluetooth Headphones Electronics 59.99 Available BH-2024-A SoundWave Ltd. Wireless over-ear headphones with noise-canceling 0.25 18x15x6 2023-11-10

4. Purchase History Dataset

Includes customer purchase history, quantities, and shipping details.

Customer ID Product ID Purchase Date Quantity Total Price Discount Applied Payment Method Purchase Status Shipping Address Tracking Number Shipment Status
CUST1001 PROD2503 2024-03-21 1 53.99 10% Credit Card Delivered 321 Elm St, Seattle, WA TRK4489213 Delivered

5. Order Items Dataset

Details of each item in a customer's order, including pricing and discounts.

Order Item ID Order ID Product ID Product Name Quantity Unit Price Total Price Discount Applied Tax Applied Product Category Return Window
OI1023 ORD8831 PROD2503 Bluetooth Headphones 1 59.99 53.99 10% 5% Electronics 30 days

6. Customer Feedback Dataset

Customer reviews, ratings, and seller responses.

Feedback ID Customer ID Product ID Rating Review Review Date Purchase Verified Feedback Type Response from Seller
FDBK309 CUST1001 PROD2503 5 Great sound quality and battery life! 2024-03-25 Yes Positive Thanks for your feedback!

7. Inventory Dataset

Tracks stock levels, reorder quantities, and supplier details.

Product ID Product Name Stock Level Reorder Level Reorder Quantity Last Restocked Date Supplier Warehouse Location
PROD2503 Bluetooth Headphones 120 50 100 2024-03-01 SoundWave Ltd. Warehouse A - Seattle

8. Sales Reports Dataset

Summarizes sales, revenue, and top-selling products.

Report ID Report Date Total Sales Total Orders Total Discounts Applied Net Revenue Number of Products Sold Top Selling Product Category with Highest Sales
SRPT202403 2024-03-31 $15,200 210 $1,350 $13,850 370 Bluetooth Headphones Electronics

What are purchase datasets?

Purchase datasets include structured information about transactions between customers and businesses. These typically capture product details, prices, customer information, payment methods, shipping data, and feedback—ideal for sales and e-commerce analysis.

What types of data are found in a purchase dataset?

A comprehensive purchase dataset may include:

  • Transaction ID and date
  • Product name, SKU, and category
  • Quantity purchased and price
  • Customer ID or segment
  • Payment method and order status
  • Shipping address and delivery time
  • Inventory status and restock dates
  • Customer feedback or rating

How is purchase history used in business analytics?

Purchase history allows businesses to analyze customer behavior, identify high-value buyers, predict future purchases, and create personalized offers. It's also used for cohort analysis, churn prediction, and loyalty tracking.

How can product-level data help improve sales strategies?

Product data helps identify bestsellers, low-performing items, and seasonal trends. Companies use this data to manage inventory, adjust pricing, and optimize marketing strategies for different product lines.

Why is inventory data important in purchase datasets?

Inventory data ensures supply chain visibility. By tracking stock levels, restocking cycles, and out-of-stock incidents, businesses can minimize delays, reduce holding costs, and improve order fulfillment.

How is shipping information used in analysis?

Shipping data allows businesses to track delivery performance, measure carrier efficiency, and assess customer satisfaction. It also helps in identifying bottlenecks and reducing logistics costs.

Can customer feedback be part of purchase datasets?

Yes. Many purchase datasets include post-purchase feedback, ratings, or reviews. This data is valuable for sentiment analysis, product improvement, and understanding the customer's voice.

How can I analyze purchase data using Excel?

Excel allows you to:

  • Create pivot tables to summarize purchases by customer or product
  • Visualize monthly revenue and purchase trends
  • Calculate return rates and average order value (AOV)
  • Filter data by region, status, or category for actionable insights

Are the datasets on this platform real or synthetic?

All datasets are synthetically generated or anonymized to reflect realistic patterns without exposing sensitive or personal information. They’re free and safe for practice.

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