Every store must properly manage the supply and demand for inventory that varies slightly depending on weather, season, competition, etc. For example, a popular item may be out of stock and other items may not be in demand, leading to a drop in prices. In both cases, you will lose your hard-earned profits.
The AI model can determine which product is best for a particular store by identifying factors such as past sales, store display quantity, local trends, online behavior, weather pattern prediction, and more.
Data | Data type | Content | Use mode |
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Input data | CSV | Internal data(inventory volume, sales volume, production volume, unit price, etc.) External data(weather, season, trendy products, trend keywords, presence of competitors' products, etc.) | API |
Output data | CSV | Quantity of products by branch | 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 |