**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.
Includes customer demographics, contact details, and purchase frequency.
Customer ID | First Name | Last Name | 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 |
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 |
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 |
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 |
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 |
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! |
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 |
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 |
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.
A comprehensive purchase dataset may include:
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.
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.
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.
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.
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.
Excel allows you to:
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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