Set Up AI Demand Forecasting So You Stop Guessing Reorder Timing

1. Sign up for SoStocked's 30-day free trial, which includes full access to paid features
2. Follow the onboarding flow to connect your Amazon Seller Central account
3. Take the personalized onboarding session if it's offered. Given how much configuration this tool needs, that guided first session is worth the time

What you should see: A dashboard populating with your Amazon sales history as the initial sync completes. Troubleshooting: A full sync of sales history can take a while on a first connection, especially for a catalog with a long sales history. Give it time before assuming something's wrong.

1. For each SKU, enter how long it typically takes from placing a purchase order to having stock available to ship (production time plus shipping time)
2. Add a safety buffer for suppliers that have historically run late
3. Repeat for every active SKU you want the forecast to cover

What you should see: A lead-time field populated for each product, feeding directly into the reorder-point calculation. Troubleshooting: If you're not sure of an exact lead time, use your worst realistic case rather than your best case. An overly optimistic lead time is what causes the stockouts this tool is meant to prevent.

1. Enable forecasting for each SKU, letting the tool factor in seasonality, sales trends, and any promotions you have planned
2. Review the initial forecast against your own knowledge of the product. If something looks obviously off (a brand-new SKU with no sales history won't forecast well yet), flag it for manual review
3. Set your reorder alert thresholds so you're notified with enough lead time to actually act

What you should see: A 12-month forecast curve per SKU, with a recommended reorder date and quantity. Troubleshooting: New products without at least a couple of months of sales history will forecast poorly at first. For those, set a manual reminder until enough real sales data accumulates.

1. Open the profit forecasting view to see projected fees, including any long-term storage costs a forecast suggests you might trigger by overstocking
2. Check flagged underperforming SKUs; a product with slowing sales and a large forecasted reorder is a signal to reconsider the order size before committing capital to it
3. Adjust reorder quantities based on this view rather than the raw sales forecast alone

What you should see: A cost-aware recommendation that accounts for storage fees, not just a raw "reorder this many units" number. Troubleshooting: If a forecasted reorder quantity looks too aggressive, cross-check it against your own read of the product's trend before placing a real purchase order. The forecast is a strong starting point, not a number to commit to blindly.

1. When a reorder alert fires, check it against your actual current Amazon inventory count and your supplier's current lead time before placing the order
2. Confirm the recommended quantity fits your cash flow and storage capacity, not just the sales forecast
3. Place the purchase order and log the actual date, so future forecasts get more accurate as real data accumulates

What you should see: A reorder alert with a specific date and quantity, which you verify against your live inventory before acting. Troubleshooting: Treat every alert as a recommendation, not an automatic purchase order. You're still the one deciding how much cash to commit to inventory.