由 caicai8478 I. Demand forecasting and data analysis optimization
Establish an intelligent forecasting model
Integrate historical sales data, seasonal factors, market trends and promotion plans
Use machine learning algorithms to improve forecast accuracy
Forecasting methods to distinguish between fast-moving consumer goods and slow-moving goods
ABC classification management
Classify SKUs into A (high value), B (medium value), and C (low value) categories according to sales and turnover rate
Class A products: high-frequency replenishment, maintain a high safety inventory
Class C products: reduce inventory depth and consider the consignment model
Real-time sales monitoring
Set inventory warning lines to automatically trigger replenishment reminders
Monitor changes in sales speed and adjust forecasts in a timely manner
II. Inventory turnover optimization strategy
Dynamic Safety stock calculation
Calculate personalized safety stock based on supply chain cycle and demand volatility
Consider local factors such as transportation time and customs clearance time
Cross-warehouse transfer mechanism
Establish a visual system for inter-warehouse inventory
Transfer inventory from slow-selling areas to hot-selling areas
Set transfer trigger conditions and priority rules
Inventory health analysis
Regularly evaluate inventory turnover rate and inventory age structure
Start processing procedures for products that exceed the set inventory age
III. Prevention and treatment of slow-selling
Early warning system
Set slow-selling judgment criteria (such as inventory age exceeds X days, turnover rate is lower than Y)
Present warning of potential slow-selling risks 30-60 days in advance
Diversified digestion channels
Bundled promotion: combined sales of slow-selling products and hot-selling products
Discount clearance: step-by-step reduction Price strategy
Multi-channel distribution: develop new channels such as offline and wholesale
Return and refurbishment management
Establish return quality inspection and refurbishment process
Design return prevention strategy to reduce the rate of unexplained returns
IV. Anti-out-of-stock measures
Supply chain flexibility construction
Develop backup suppliers and alternative products
Establish emergency replenishment channels (air transport, etc.)
Graded early warning mechanism
Yellow warning (inventory is lower than safety inventory): accelerate goods in transit
Red warning (inventory is about to run out): start emergency replenishment
Dynamic adjustment of safety inventory
Pre-stock before the peak sales season
Calculate safety inventory separately for promotional products
V. Technical support and system optimization
Digitalization of inventory management
Deployment of intelligent inventory management system
Real-time synchronization of inventory data on multiple platforms
Automated replenishment rules
Automatically generate replenishment orders based on preset rules
Consider the economic order quantity (EOQ) model
Data visualization dashboard
Inventory health dashboard
Slow-selling/out-of-stock risk heat map
VI. Continuous improvement mechanism
Regular review meetings
Analyze the root causes of slow-selling/out-of-stock cases
Update inventory strategy parameters
Performance appraisal system
Incorporate inventory turnover rate and slow-selling rate into KPI
Set up a reasonable reward and punishment mechanism
Agile market response
Establish a rapid trial sale and small batch testing mechanism
Maintain high sensitivity to market changes
By implementing the above strategies, overseas warehouse companies can effectively balance the risks of slow-selling and out-of-stock while reducing inventory costs, and improve overall operational efficiency and customer satisfaction.