Use data-driven forecasting to maintain optimal stock levels across all channels.
1
What is Inventory Forecasting
Inventory forecasting is the process of predicting future inventory needs based on historical sales data, market trends, and seasonal patterns. Accurate forecasting helps businesses maintain optimal stock levels, reducing both stockouts and excess inventory.
2
Why It Matters
Poor inventory forecasting costs ecommerce businesses billions annually. Overstocking ties up capital and increases storage costs, while stockouts lead to lost sales and dissatisfied customers.
3
Best Practices
Start by analyzing at least 12 months of sales data across all channels. Factor in marketplace-specific events like Amazon Prime Day and Flipkart Big Billion Days. Use safety stock formulas to buffer against demand variability.
Pro Tip
Brands using real-time inventory synchronization can reduce overselling risks by up to 95% while improving stock availability across all channels simultaneously.
Key Takeaways
- Analyze 12+ months of sales data across all channels
- Factor in marketplace-specific events and seasonality
- Use safety stock formulas to buffer demand variability
- Integrate forecasting with your OMS for real-time adjustments
- Review and adjust forecasts based on actual performance monthly
