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Build a web-based inventory replenishment application using Next.js 14, Tailwind CSS, Supabase, and the Shopify GraphQL Admin API.

1. DATA MODEL:
Create tables in Supabase:
- suppliers: id, name, lead_time_days, moq, contact_email
- products: id, shopify_variant_id, sku, title, current_stock, safety_stock_days, cost_price, supplier_id
- purchase_orders: id, supplier_id, status ('draft', 'sent', 'received'), created_at, expected_date
- po_items: id, po_id, product_id, quantity_ordered, quantity_received

2. CORE FUNCTIONALITY:
- Shopify Data Ingestion: Sync products, variants, active stock levels, and historical order line items for the last 90 days via GraphQL.
- Sales Velocity Calculation: Calculate Average Daily Sales (ADS) over 7, 30, and 90-day periods. Crucial: compute velocity only using days where stock was > 0 to avoid underestimating demand due to stockouts.
- Reorder Engine: Reorder Point (ROP) = (ADS * Lead Time Days) + (ADS * Safety Stock Days). When current_stock + incoming_po_stock < ROP, set status to 'Needs Reorder'.
- Order Quantity Calculation: Recommended Order Quantity (ROQ) = Max(Supplier MOQ, (Target Days of Stock * ADS) - current_stock - incoming_po_stock).
- Purchase Order Builder: Next.js UI listing flagged items. Users can adjust quantities, generate PO PDFs, and trigger an email dispatch via Resend API to the supplier.

3. FAILURE MODES & EDGE CASES:
- Handle Shopify GraphQL rate limits using request backoff.
- Zero-demand variants: Ensure products with zero sales in 90 days do not throw division-by-zero errors.
- Manual Stock Overrides: When updating stock locally, trigger the shopifyInventorySet mutation to sync back to Shopify.

4. OUT OF SCOPE:
- Theme backorder widgets, multi-warehouse allocation routing, machine learning demand models.

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