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AI Demand Forecasting Deep Predictor for Wholesale Industry

Achieving delivery efficiency with AI! A demand forecasting service that can be used by on-site personnel.

In the wholesale industry, variations in order quantities by client and demand fluctuations due to seasonal factors pose significant challenges in maintaining optimal inventory levels. Inadequate demand forecasting can lead to lost sales opportunities due to stockouts, as well as increased storage costs and waste losses from excess inventory. AI predictive analysis Deep Predictor conducts highly accurate demand forecasting based on past sales data and transaction trends, supporting the optimization of inventory, ordering, and sales planning in the wholesale sector. 【Use Cases】 - Demand forecasting by product and client - Calculation of optimal inventory and order quantities - Improvement of accuracy in sales and purchasing plans 【Benefits of Implementation】 - Reduction of stockouts and excess inventory - Improvement of inventory turnover rates - Enhancement of profit margins and cash flow

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basic information

【Features】 - High-precision forecasting that takes external factors into account - Easy to implement and simple to operate - Automatic calculation of optimal order quantities - Strong design for forecasting other items as well - Provides a high-precision demand forecasting platform using AI algorithms

Price information

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Delivery Time

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Pre-validation (optional) will take 1 to 3 months, and we will need about 1 month for implementation.

Model number/Brand name

No-code AI predictive analytics and decision support service Deep Predictor

Applications/Examples of results

●Optimization of Inventory Accurately forecast future demand to minimize the risks of excess inventory and stockouts. This leads to reduced storage costs and waste losses. ●Optimization of Order Quantity Calculate appropriate order quantities based on demand forecasts by supplier and product. This helps to suppress stockouts and overordering without relying on intuition or experience. ●Optimization of Personnel Allocation Optimize warehouse staff shifts based on forecasts of shipping and receiving volumes. This prevents staff shortages during peak periods and overstaffing during slow periods. ●Optimization of Logistics and Shipping Plans Proactively understand demand fluctuations and strategically secure shipping systems and logistics capacity. This prevents delivery delays and on-site confusion. ●Improvement of Profit Margins By reducing excess inventory, it helps to suppress discount sales and the occurrence of stagnant inventory, contributing to improved profit margins. *For more details, please refer to the PDF document or feel free to contact us.*

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