If a product is not delivered in a timely manner, the lead time is prolonged and customer satisfaction is negatively affected. However, since it is not possible to predict the number of orders in advance, the key to order management is to select the most suitable supplier and delivery time prediction system.
Using artificial intelligence, you can analyze data such as seasonal changes, sales fluctuations, and the time it takes to purchase or ship to a retailer in order to make purchasing decisions. In addition, automating such decisions through AI can help with strategic and advanced decision making.
Data | Data type | Content | Use mode |
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Input data | CSV | Seasonal changes, sales fluctuations, periods for purchase or shipment to retailers, etc. | API |
Output data | CSV | Product order quantity prediction | API |
Payment | Subscription method | Attached file upon application |
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Prepaid charge | Online | Customer data required for model creation |
Application procedure |
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Category | Price |
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API Setting | $1,800 ~ |
API Predicting | $0.002/row |