Effect of Deep Predictor Implementation: Inventory Optimization
Improving opportunity loss due to stockouts and excess inventory. Achieving optimal ordering to maximize sales opportunities with AI demand forecasting services.
One of the challenges that our no-code AI predictive analytics service "Deep Predictor" addresses is "inventory optimization." AI analyzes a large amount of historical data to provide accurate demand forecasts that take into account market fluctuations and seasonal factors. Furthermore, it identifies order quantities that minimize the risks of stock shortages and excess inventory using optimization algorithms. By optimizing demand forecasts and order quantities, we can minimize stock shortages and excess inventory, achieving cost reductions in the range of tens of millions of yen annually and improving profit margins. 【Required Data】 ■ Historical shipment data ■ Calendar information, weather information, macroeconomic indicators, etc., based on on-site knowledge *For more details, please download the PDF or feel free to contact us.
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