Problems such as worker errors and delayed inventory movements during warehouse management have a negative impact on service quality and customer satisfaction. Inventory optimization can reduce inventory holding costs and improve cash flow and supply chain visibility.
The inventory optimization of AI is based on the latest deep learning to analyze the delivery time of the supply and demand company, quality issues, sales volumes, inventory, and product line interruption to build real-time recommendations and monitoring of inventory. As a result, you can perform planning and root cause analysis to optimize inventory levels and manage inventory.
|Data||Data type||Content||Use mode|
|Input data||CSV||Delivery time, sales volume, inventory, manufacturing date, number of defective items||API|
|Output data||CSV||Holding stock quantity prediction||API|
||Attached file upon application
||Online||Customer data required for model creation
|API Setting||$1,800 ~|