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Build a multi-channel ecommerce analytics dashboard in Next.js 14 (App Router), Tailwind CSS, Shadcn UI, Tremor charts, and Supabase Postgres.

1. DATA MODEL:
- Stores: id, name, platform (shopify|woocommerce|stripe), credentials (jsonb), status.
- Customers: id, primary_email, name, total_spent, orders_count, first_order_at, last_order_at, rfm_recency, rfm_frequency, rfm_monetary.
- Orders: id, store_id, external_id, customer_id, total_amount, currency, status, payment_gateway, created_at.
- LineItems: id, order_id, external_product_id, title, quantity, price, sku.

2. DATA INGESTION & NORMALIZATION:
- Implement secure Webhook endpoints for Shopify (orders/create, orders/updated) and Stripe (charge.succeeded, customer.subscription.created).
- Create a normalization pipeline converting external order payloads to the unified Orders database schema.
- Handle multi-currency conversion to USD using historical daily exchange rates stored in a rates table.
- Deduplicate customers across platforms using lowercase primary_email.

3. ANALYTICS ENGINE (SQL VIEWS & STORED FUNCTIONS):
- Net Revenue: total sales minus refunds and discounts.
- Average Order Value (AOV): Net Revenue / Total Order Count.
- Recency, Frequency, Monetary (RFM) Matrix: Compute 1-5 scores for each customer based on quintiles of last_order_at, orders_count, and total_spent.
- Monthly Recurring Revenue (MRR) calculation based on active Stripe subscriptions.

4. FRONTEND DASHBOARD UI:
- Dashboard overview tab: KPI cards for Gross Sales, Net Revenue, Orders, AOV, Refunds, with percentage change vs previous period.
- Sales chart: Time-series area chart (daily/weekly/monthly aggregation).
- Customer RFM tab: Interactive 5x5 grid categorizing customers into Champions, Loyal, At-Risk, Lost.
- Products tab: Table showing top-selling products by volume and total revenue.

5. FAILURE HANDLING & OVERHEAD:
- Store raw webhook bodies in a raw_events queue table before processing for safe retries.
- Return 200 OK to webhooks immediately, delegating processing to a background worker process.

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