Most Amazon wholesale sellers are still doing this manually — 20 browser tabs, factory quotes pasted into spreadsheets, inventory guesses, and supplier emails that go nowhere.

Here's the system I run instead:

Step 1: AI Category Scanning

I run AI-assisted scans against specific ASIN clusters, filtering by sell-through rank, margin threshold, and competitive density. Viable wholesale targets surface in minutes instead of days.

Step 2: Automated Quote Comparison

Every factory quote runs through a structured AI comparison framework: MOQ, unit cost, lead time, payment terms, defect rate history, compliance flags — all scored side by side. No more judgment calls based on half-remembered numbers.

Step 3: Inventory Forecasting Before I Commit

Before placing any PO, I run the SKU through a forecasting template built around FBA storage constraints, seasonal rank shifts, and reorder buffer requirements. Prevents both overstock and stockout during rank spikes.

Result: under 4 hours per week on sourcing decisions that used to take 20+.

I publish this exact system weekly — new AI sourcing drops, toolkit updates, and Q&A every 7 days. 7-day free trial included.