Amazon Delivery Dataset
This dataset provides a detailed view of Amazon's last-mile logistics operations. It includes data on orders, delivery agents, as well as weather and traffic conditions, allowing delivery performance to be analyzed and optimized.
Description
Amazon Delivery Dataset is a collection of data on more than 43,000 deliveries made by Amazon in several cities. The dataset contains detailed information on orders, deliverers, weather and traffic conditions, and delivery performance metrics.
What is this dataset for?
- Analyzing the effectiveness of logistics delivery operations
- Identify factors impacting deadlines and customer satisfaction
- Optimize routes and management of delivery resources
Can it be enriched or improved?
The dataset can be improved by adding finer temporal data (e.g. precise schedules), customer feedback, or even additional information on vehicles and delivery areas.
🔎 In summary
🧠 Recommended for
- Logistics data scientists
- Supply chain researchers
- Business analysts
🔧 Compatible tools
- Python (Pandas, Scikit-Learn)
- R
- Power BI
- Table
💡 Tip
Test predictive models on delivery times by integrating weather and traffic variables.
Frequently Asked Questions
What information does this delivery dataset contain?
It contains data on orders, deliverers, weather, traffic, and delivery performance.
Can this dataset be used to optimize delivery routes?
Yes, by analyzing the factors that influence deadlines, it is possible to optimize route planning.
What file formats are available?
Mainly CSV, easy to handle with traditional data science tools.
