Shipment Delay Prediction
Due to the recent pandemic, the number of delivered items has greatly increased, causing various delivery issues. In addition, as customers' demand for high-speed delivery such as same-day delivery and early morning delivery is increasing, optimal delivery services is one of the biggest factors on sales.
If you analyze delivery data with artificial intelligence, you can identify factors that cause delays in delivery and improve problems through real-time monitoring. After a customer places an order, you can derive whether the product will be delayed in delivery and communicate this to the customer in advance. In addition, you can examine the whole delivery system by analyzing data and determine what should be done in order to improve the service.
Main function
1. Predict delivery delay
- Analysis and prevention of factors that cause delivery delays
- Improve customer satisfaction by delivering the delivery delay prediction results to customers in advance
- Build delivery strategy through continuous monitoring
2. Data Security System
- Thorough data security through security processing
3. Providing various services
- Interlocking between apps, web and programs is possible by providing various programming languages
API Summary
| Data | Data type | Content | Use mode |
|---|---|---|---|
| Input data | CSV | Estimated delivery time, income per order, sales per customer, item classification, shipping destination, order volume, etc. | API |
| Output data | CSV | Delivery delay prediction | API |
Application procedure
| Payment | Subscription method | Attached file upon application |
|---|---|---|
| Prepaid charge | Online | Customer data required for model creation |
| Application procedure |
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