Amazon Sales Dataset

This dataset contains 100,000 synthetic Amazon-style e-commerce sales transactions, designed to closely resemble real-world online retail behavior. With 20 clean and well-structured columns, it captures detailed information about customers, products, pricing, payments, logistics, and order outcomes. Although the data is artificially generated, it reflects realistic patterns such as: Dynamic product pricing Varying discounts and taxes Multiple product categories & brands Seasonal order trends Payment method diversity Realistic customer names & locations Order statuses like Delivered, Cancelled, Shipped, Returned This makes the dataset highly suitable for analytics, machine learning, data visualization, dashboards, and business case studies. 📊 Column Overview The dataset includes: 🧾 Order Details OrderID OrderDate OrderStatus SellerID 👤 Customer Information CustomerID CustomerName City, State, Country 📦 Product Information Product ID Product Name Category Brand Quantity 💰 Pricing & Revenue Metrics Unit Price Discount Tax Shipping Cost Total Amount 💳 Payment Details Payment Method