Lesson 3 of 3•AI for Product Listings & Merchandising0 of 3 complete (0%)
Inventory Planning & Demand Forecasting
10 min
What you will learn
- Use AI to analyze sales data and identify demand patterns for inventory decisions
- Create inventory reports that highlight overstock, understock, and dead stock situations
- Build seasonal planning frameworks using historical sales data and trend analysis
- Develop vendor negotiation preparation documents using purchase and sales data
# Inventory Planning & Demand Forecasting
Every dollar tied up in the wrong inventory is a dollar not available for the right inventory. AI helps you get the balance right.
Sales Velocity & Inventory Health Analysis
Analyze the following inventory and sales data:
[Paste SKU-level data with:]
- SKU / Product name
- Current quantity on hand
- Monthly sales velocity (units per month, last 6 months)
- Unit cost
- Selling price
- Days of supply on hand
- Reorder lead time
Analysis should include:
1. INVENTORY HEALTH SCORECARD
- Total inventory value and days of supply
- Percentage of inventory that is healthy (30-60 days supply)
- Percentage overstocked (>90 days supply)
- Percentage understocked (<15 days supply)
- Dead stock (>180 days supply or zero sales in 90 days)
2. ABC ANALYSIS
- A items: Top 20% of SKUs generating 80% of revenue
- B items: Next 30% generating 15% of revenue
- C items: Bottom 50% generating 5% of revenue
For each category: recommended service level, reorder strategyUnlock this lesson
Upgrade to Pro to access the full content
What you'll learn:
- Use AI to analyze sales data and identify demand patterns for inventory decisions
- Create inventory reports that highlight overstock, understock, and dead stock situations
- Build seasonal planning frameworks using historical sales data and trend analysis