class="info-alert">『Your web browser does not support JavaScript, but it does not affect browsing through the rest of the web site.』
jump to main content

Industrial Technology Research Institute

:::

Technologies on Smart Retail Inventory

Technology Overview

Technologies on Smart Retail Inventory.
Technologies on Smart Retail Inventory.

We provide the checking tools of predictability and distribution similarity and the technologies of AI demand forecasting and inventory planning, which can be applied to retail industry, for avoiding stock overflow and underflow.

Applications & Benefits

Smart demand forecasting and inventory decision making technology integrates demand forecasting and the DRL algorithm, considering using forecasting results and lead-time for purchase recommendations, greatly reducing the inventory costs.

The goods or materials would be categorized based on the purchasing quantity and lead time. Each category is verified whether it is predictable at the moment. And then, in the predictable category, multi-algorithm would be used to find the best prediction model. Furthermore, the model would be dynamically adjusted to make sure the prediction would always keep up with the times.

Smart demand forecasting and inventory decision making technology integrates demand forecasting and the DRL algorithm, considering using forecasting results and lead-time for purchase recommendations, greatly reducing the inventory costs.

To enhance the accuracy of forecasting and to reduce the turnover time.