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Build a lightweight CPG reorder prediction system for Shopify that integrates with Klaviyo. 1. DATA MODEL & INGESTION: Store historical order records (customer_id, line_items, order_date). Listen to Shopify webhooks for orders/create and orders/cancelled. Store product-level default usage duration in days (e.g., 30 days for 30-count vitamins). 2. REORDER CALCULATION ENGINE: Write a daily cron job that analyzes customer purchase history. Compute the median days between consecutive purchases for each customer and product family. If customer has only 1 order, fall back to the product default usage duration. Calculate expected_depletion_date = last_order_date + median_interval_days. 3. REORDER LINK GENERATION: Generate dynamic Shopify cart permalinks for each customer: https://yourstore.com/cart/{variant_id}:{quantity}?discount={reorder_code}. 4. ESP INTEGRATION: When current_date reaches (expected_depletion_date - 5 days), fire a custom event to Klaviyo API ('Ready_For_Reorder') containing payload: customer_email, target_variant_id, predicted_reorder_date, and cart_permalink. 5. FAILURE MODES & EDGE CASES: Exclude orders with status refunded or cancelled from calculation. Do not fire event if the customer has an active subscription for that SKU or has purchased that SKU within the past 14 days. Handle missing variant IDs gracefully. Deliver as a clean Node.js/TypeScript Express backend with a PostgreSQL database.

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