# Orders Service

## Overview

The **Orders Service** manages the complete customer order lifecycle from creation to fulfillment, tracking custom orders, wholesale orders, and direct sales. It maintains a comprehensive customer database with purchase history, enables order scheduling for pickup/delivery, and provides analytics on customer behavior and order patterns. This service is essential for B2B relationships with restaurants and hotels, as well as managing special orders for events and celebrations.

## Key Features

### Order Management
- **Multi-Channel Orders** - In-store, phone, online, wholesale
- **Order Lifecycle Tracking** - From pending to completed/cancelled
- **Custom Orders** - Special requests for events and celebrations
- **Recurring Orders** - Automated weekly/monthly orders for B2B
- **Order Scheduling** - Pickup/delivery date and time management
- **Order Priority** - Rush orders vs. standard processing
- **Order Status Updates** - Real-time status with customer notifications

### Customer Database
- **Customer Profiles** - Complete contact and preference information
- **Purchase History** - Track all orders per customer
- **Customer Segmentation** - B2B vs. B2C, loyalty tiers
- **Customer Preferences** - Favorite products, allergen notes
- **Credit Terms** - Payment terms for wholesale customers
- **Customer Analytics** - RFM analysis (Recency, Frequency, Monetary)
- **Customer Lifetime Value** - Total value per customer

### B2B Wholesale Management
- **Wholesale Pricing** - Custom pricing per B2B customer
- **Volume Discounts** - Automatic tier-based discounts
- **Delivery Routes** - Optimize delivery scheduling
- **Invoice Generation** - Automated invoicing with payment terms
- **Standing Orders** - Repeat orders without manual entry
- **Account Management** - Credit limits and payment tracking

### Order Fulfillment
- **Production Integration** - Orders trigger production planning
- **Inventory Reservation** - Reserve stock for confirmed orders
- **Fulfillment Status** - Track preparation and delivery
- **Delivery Management** - Route planning and tracking
- **Order Picking Lists** - Generate lists for warehouse staff
- **Quality Control** - Pre-delivery quality checks

### Payment Tracking
- **Payment Methods** - Cash, card, transfer, credit terms
- **Payment Status** - Paid, pending, overdue
- **Partial Payments** - Split payments over time
- **Invoice History** - Complete payment records
- **Overdue Alerts** - Automatic reminders for B2B accounts
- **Revenue Recognition** - Track revenue per order

### Analytics & Reporting
- **Order Dashboard** - Real-time order metrics
- **Customer Analytics** - Top customers, retention rates
- **Product Analytics** - Most ordered products
- **Revenue Analytics** - Daily/weekly/monthly revenue
- **Order Source Analysis** - Channel performance
- **Delivery Performance** - On-time delivery rates

## Business Value

### For Bakery Owners
- **Revenue Growth** - Better customer relationships drive repeat business
- **B2B Efficiency** - Automate wholesale order management
- **Cash Flow** - Track outstanding payments and credit terms
- **Customer Retention** - Purchase history enables personalized service
- **Order Accuracy** - Digital orders reduce errors vs. phone/paper
- **Analytics** - Understand customer behavior for marketing

### Quantifiable Impact
- **Revenue Growth**: 10-20% through improved B2B relationships
- **Time Savings**: 5-8 hours/week on order management
- **Order Accuracy**: 99%+ vs. 85-90% manual (phone/paper)
- **Payment Collection**: 30% faster with automated reminders
- **Customer Retention**: 15-25% improvement with history tracking
- **B2B Efficiency**: 50-70% time reduction on wholesale orders

### For Sales Staff
- **Quick Order Entry** - Fast order creation with customer lookup
- **Customer History** - See previous orders for upselling
- **Pricing Accuracy** - Automatic wholesale pricing application
- **Order Tracking** - Know exactly when orders will be ready
- **Customer Notes** - Allergen info and preferences visible

### For Customers
- **Order Confirmation** - Immediate confirmation with details
- **Order Tracking** - Real-time status updates
- **Order History** - View and repeat previous orders
- **Flexible Scheduling** - Choose pickup/delivery times
- **Payment Options** - Multiple payment methods

## Technology Stack

- **Framework**: FastAPI (Python 3.11+) - Async web framework
- **Database**: PostgreSQL 17 - Order and customer data
- **Caching**: Redis 7.4 - Customer and order cache
- **Messaging**: RabbitMQ 4.1 - Order event publishing
- **ORM**: SQLAlchemy 2.0 (async) - Database abstraction
- **Validation**: Pydantic 2.0 - Schema validation
- **Logging**: Structlog - Structured JSON logging
- **Metrics**: Prometheus Client - Order metrics

## API Endpoints (Key Routes)

### Order Management
- `GET /api/v1/orders` - List orders with filters
- `POST /api/v1/orders` - Create new order
- `GET /api/v1/orders/{order_id}` - Get order details
- `PUT /api/v1/orders/{order_id}` - Update order
- `DELETE /api/v1/orders/{order_id}` - Cancel order
- `PUT /api/v1/orders/{order_id}/status` - Update order status
- `POST /api/v1/orders/{order_id}/complete` - Mark order complete

### Order Items
- `GET /api/v1/orders/{order_id}/items` - List order items
- `POST /api/v1/orders/{order_id}/items` - Add item to order
- `PUT /api/v1/orders/{order_id}/items/{item_id}` - Update order item
- `DELETE /api/v1/orders/{order_id}/items/{item_id}` - Remove item

### Customer Management
- `GET /api/v1/customers` - List customers with filters
- `POST /api/v1/customers` - Create new customer
- `GET /api/v1/customers/{customer_id}` - Get customer details
- `PUT /api/v1/customers/{customer_id}` - Update customer
- `GET /api/v1/customers/{customer_id}/orders` - Get customer order history
- `GET /api/v1/customers/{customer_id}/analytics` - Customer analytics

### Wholesale Management
- `GET /api/v1/orders/wholesale` - List wholesale orders
- `POST /api/v1/orders/wholesale/recurring` - Create recurring order
- `GET /api/v1/orders/wholesale/invoices` - List invoices
- `POST /api/v1/orders/wholesale/invoices/{invoice_id}/send` - Send invoice
- `GET /api/v1/orders/wholesale/overdue` - List overdue payments

### Fulfillment
- `GET /api/v1/orders/fulfillment/pending` - Orders pending fulfillment
- `POST /api/v1/orders/{order_id}/prepare` - Start order preparation
- `POST /api/v1/orders/{order_id}/ready` - Mark order ready
- `POST /api/v1/orders/{order_id}/deliver` - Mark order delivered
- `GET /api/v1/orders/fulfillment/picking-list` - Generate picking list

### Analytics
- `GET /api/v1/orders/analytics/dashboard` - Order dashboard KPIs
- `GET /api/v1/orders/analytics/revenue` - Revenue analytics
- `GET /api/v1/orders/analytics/customers/top` - Top customers
- `GET /api/v1/orders/analytics/products/popular` - Most ordered products
- `GET /api/v1/orders/analytics/channels` - Order channel breakdown

## Database Schema

### Main Tables

**customers**
```sql
CREATE TABLE customers (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    customer_type VARCHAR(50) NOT NULL,      -- retail, wholesale, restaurant, hotel
    business_name VARCHAR(255),               -- For B2B customers
    contact_name VARCHAR(255) NOT NULL,
    email VARCHAR(255),
    phone VARCHAR(50) NOT NULL,
    secondary_phone VARCHAR(50),
    address_line1 VARCHAR(255),
    address_line2 VARCHAR(255),
    city VARCHAR(100),
    postal_code VARCHAR(20),
    country VARCHAR(100) DEFAULT 'España',
    tax_id VARCHAR(50),                       -- CIF/NIF for businesses
    credit_limit DECIMAL(10, 2),             -- For B2B customers
    credit_term_days INTEGER DEFAULT 0,       -- Payment terms (e.g., Net 30)
    payment_status VARCHAR(50) DEFAULT 'good_standing',  -- good_standing, overdue, suspended
    customer_notes TEXT,
    allergen_notes TEXT,
    preferred_contact_method VARCHAR(50),     -- email, phone, whatsapp
    loyalty_tier VARCHAR(50) DEFAULT 'standard',  -- standard, silver, gold, platinum
    total_lifetime_value DECIMAL(12, 2) DEFAULT 0.00,
    total_orders INTEGER DEFAULT 0,
    last_order_date DATE,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, email),
    UNIQUE(tenant_id, phone)
);
```

**orders**
```sql
CREATE TABLE orders (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    order_number VARCHAR(100) NOT NULL,       -- Human-readable order number
    customer_id UUID REFERENCES customers(id),
    order_type VARCHAR(50) NOT NULL,          -- retail, wholesale, custom, standing
    order_source VARCHAR(50),                 -- in_store, phone, online, email
    status VARCHAR(50) DEFAULT 'pending',     -- pending, confirmed, preparing, ready, completed, cancelled
    priority VARCHAR(50) DEFAULT 'standard',  -- rush, standard, scheduled
    order_date DATE NOT NULL DEFAULT CURRENT_DATE,
    requested_date DATE,                      -- Pickup/delivery date
    requested_time TIME,                      -- Pickup/delivery time
    fulfilled_date DATE,
    subtotal DECIMAL(10, 2) NOT NULL DEFAULT 0.00,
    discount_amount DECIMAL(10, 2) DEFAULT 0.00,
    tax_amount DECIMAL(10, 2) DEFAULT 0.00,
    total_amount DECIMAL(10, 2) NOT NULL DEFAULT 0.00,
    payment_method VARCHAR(50),               -- cash, card, transfer, credit
    payment_status VARCHAR(50) DEFAULT 'unpaid',  -- unpaid, paid, partial, overdue
    payment_due_date DATE,
    delivery_method VARCHAR(50),              -- pickup, delivery, shipping
    delivery_address TEXT,
    delivery_notes TEXT,
    internal_notes TEXT,
    created_by UUID NOT NULL,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, order_number)
);
```

**order_items**
```sql
CREATE TABLE order_items (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    order_id UUID REFERENCES orders(id) ON DELETE CASCADE,
    product_id UUID NOT NULL,
    product_name VARCHAR(255) NOT NULL,       -- Cached for performance
    quantity DECIMAL(10, 2) NOT NULL,
    unit VARCHAR(50) NOT NULL,
    unit_price DECIMAL(10, 2) NOT NULL,
    discount_percentage DECIMAL(5, 2) DEFAULT 0.00,
    line_total DECIMAL(10, 2) NOT NULL,
    custom_instructions TEXT,
    recipe_id UUID,                           -- Link to recipe if applicable
    production_batch_id UUID,                 -- Link to production batch
    fulfilled_quantity DECIMAL(10, 2) DEFAULT 0.00,
    fulfillment_status VARCHAR(50) DEFAULT 'pending',  -- pending, reserved, prepared, fulfilled
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);
```

**customer_pricing**
```sql
CREATE TABLE customer_pricing (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    customer_id UUID REFERENCES customers(id) ON DELETE CASCADE,
    product_id UUID NOT NULL,
    custom_price DECIMAL(10, 2) NOT NULL,
    discount_percentage DECIMAL(5, 2),
    min_quantity DECIMAL(10, 2),              -- Minimum order quantity for price
    valid_from DATE DEFAULT CURRENT_DATE,
    valid_until DATE,
    is_active BOOLEAN DEFAULT TRUE,
    notes TEXT,
    created_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, customer_id, product_id)
);
```

**recurring_orders**
```sql
CREATE TABLE recurring_orders (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    customer_id UUID REFERENCES customers(id) ON DELETE CASCADE,
    recurring_name VARCHAR(255) NOT NULL,
    frequency VARCHAR(50) NOT NULL,           -- daily, weekly, biweekly, monthly
    delivery_day VARCHAR(50),                 -- Monday, Tuesday, etc.
    delivery_time TIME,
    order_items JSONB NOT NULL,               -- Array of {product_id, quantity, unit}
    is_active BOOLEAN DEFAULT TRUE,
    next_order_date DATE,
    last_generated_order_id UUID,
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);
```

**order_status_history**
```sql
CREATE TABLE order_status_history (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    order_id UUID REFERENCES orders(id) ON DELETE CASCADE,
    from_status VARCHAR(50),
    to_status VARCHAR(50) NOT NULL,
    changed_by UUID NOT NULL,
    notes TEXT,
    changed_at TIMESTAMP DEFAULT NOW()
);
```

**invoices**
```sql
CREATE TABLE invoices (
    id UUID PRIMARY KEY,
    tenant_id UUID NOT NULL,
    invoice_number VARCHAR(100) NOT NULL,
    order_id UUID REFERENCES orders(id),
    customer_id UUID REFERENCES customers(id),
    invoice_date DATE NOT NULL DEFAULT CURRENT_DATE,
    due_date DATE NOT NULL,
    subtotal DECIMAL(10, 2) NOT NULL,
    tax_amount DECIMAL(10, 2) NOT NULL,
    total_amount DECIMAL(10, 2) NOT NULL,
    amount_paid DECIMAL(10, 2) DEFAULT 0.00,
    amount_due DECIMAL(10, 2) NOT NULL,
    status VARCHAR(50) DEFAULT 'sent',        -- draft, sent, paid, overdue, cancelled
    payment_terms VARCHAR(255),
    notes TEXT,
    sent_at TIMESTAMP,
    paid_at TIMESTAMP,
    created_at TIMESTAMP DEFAULT NOW(),
    UNIQUE(tenant_id, invoice_number)
);
```

### Indexes for Performance
```sql
CREATE INDEX idx_orders_tenant_status ON orders(tenant_id, status);
CREATE INDEX idx_orders_customer ON orders(customer_id);
CREATE INDEX idx_orders_date ON orders(tenant_id, order_date DESC);
CREATE INDEX idx_orders_requested_date ON orders(tenant_id, requested_date);
CREATE INDEX idx_customers_tenant_type ON customers(tenant_id, customer_type);
CREATE INDEX idx_order_items_order ON order_items(order_id);
CREATE INDEX idx_order_items_product ON order_items(tenant_id, product_id);
CREATE INDEX idx_invoices_status ON invoices(tenant_id, status);
CREATE INDEX idx_invoices_due_date ON invoices(tenant_id, due_date) WHERE status != 'paid';
```

## Business Logic Examples

### Order Creation with Pricing
```python
async def create_order(order_data: OrderCreate, current_user: User) -> Order:
    """
    Create new order with automatic pricing and customer detection.
    """
    # Get or create customer
    customer = await get_or_create_customer(
        order_data.customer_phone,
        order_data.customer_name,
        order_data.customer_email
    )

    # Generate order number
    order_number = await generate_order_number(current_user.tenant_id)

    # Create order
    order = Order(
        tenant_id=current_user.tenant_id,
        order_number=order_number,
        customer_id=customer.id,
        order_type=order_data.order_type,
        order_source=order_data.order_source,
        status='pending',
        order_date=date.today(),
        requested_date=order_data.requested_date,
        created_by=current_user.id
    )
    db.add(order)
    await db.flush()  # Get order.id

    # Add order items with pricing
    subtotal = Decimal('0.00')
    for item_data in order_data.items:
        # Get product price
        base_price = await get_product_price(item_data.product_id)

        # Check for customer-specific pricing
        custom_price = await get_customer_price(
            customer.id,
            item_data.product_id,
            item_data.quantity
        )
        unit_price = custom_price if custom_price else base_price

        # Apply wholesale discount if applicable
        if customer.customer_type == 'wholesale':
            discount_pct = await calculate_volume_discount(
                item_data.product_id,
                item_data.quantity
            )
        else:
            discount_pct = Decimal('0.00')

        # Calculate line total
        line_total = (unit_price * item_data.quantity) * (1 - discount_pct / 100)

        # Create order item
        order_item = OrderItem(
            tenant_id=current_user.tenant_id,
            order_id=order.id,
            product_id=item_data.product_id,
            product_name=item_data.product_name,
            quantity=item_data.quantity,
            unit=item_data.unit,
            unit_price=unit_price,
            discount_percentage=discount_pct,
            line_total=line_total
        )
        db.add(order_item)
        subtotal += line_total

    # Calculate tax (e.g., Spanish IVA 10% for food)
    tax_rate = Decimal('0.10')
    tax_amount = subtotal * tax_rate
    total_amount = subtotal + tax_amount

    # Update order totals
    order.subtotal = subtotal
    order.tax_amount = tax_amount
    order.total_amount = total_amount

    # Set payment terms for B2B
    if customer.customer_type == 'wholesale':
        order.payment_due_date = date.today() + timedelta(days=customer.credit_term_days)
        order.payment_status = 'unpaid'
    else:
        order.payment_status = 'paid'  # Retail assumes immediate payment

    await db.commit()
    await db.refresh(order)

    # Publish order created event
    await publish_event('orders', 'order.created', {
        'order_id': str(order.id),
        'customer_id': str(customer.id),
        'total_amount': float(order.total_amount),
        'requested_date': order.requested_date.isoformat() if order.requested_date else None
    })

    return order
```

### Recurring Order Generation
```python
async def generate_recurring_orders(tenant_id: UUID):
    """
    Generate orders from recurring order templates.
    Run daily via orchestrator.
    """
    # Get active recurring orders due today
    today = date.today()
    recurring_orders = await db.query(RecurringOrder).filter(
        RecurringOrder.tenant_id == tenant_id,
        RecurringOrder.is_active == True,
        RecurringOrder.next_order_date <= today
    ).all()

    generated_count = 0
    for recurring in recurring_orders:
        try:
            # Create order from template
            order = Order(
                tenant_id=tenant_id,
                order_number=await generate_order_number(tenant_id),
                customer_id=recurring.customer_id,
                order_type='standing',
                order_source='auto_recurring',
                status='confirmed',
                order_date=today,
                requested_date=recurring.next_order_date,
                requested_time=recurring.delivery_time
            )
            db.add(order)
            await db.flush()

            # Add items from template
            subtotal = Decimal('0.00')
            for item_template in recurring.order_items:
                product_price = await get_product_price(item_template['product_id'])
                line_total = product_price * Decimal(str(item_template['quantity']))

                order_item = OrderItem(
                    tenant_id=tenant_id,
                    order_id=order.id,
                    product_id=UUID(item_template['product_id']),
                    product_name=item_template['product_name'],
                    quantity=Decimal(str(item_template['quantity'])),
                    unit=item_template['unit'],
                    unit_price=product_price,
                    line_total=line_total
                )
                db.add(order_item)
                subtotal += line_total

            # Calculate totals
            tax_amount = subtotal * Decimal('0.10')
            order.subtotal = subtotal
            order.tax_amount = tax_amount
            order.total_amount = subtotal + tax_amount

            # Update recurring order
            recurring.last_generated_order_id = order.id
            recurring.next_order_date = calculate_next_order_date(
                recurring.next_order_date,
                recurring.frequency
            )

            await db.commit()
            generated_count += 1

            # Publish event
            await publish_event('orders', 'recurring_order.generated', {
                'order_id': str(order.id),
                'recurring_order_id': str(recurring.id),
                'customer_id': str(recurring.customer_id)
            })

        except Exception as e:
            logger.error("Failed to generate recurring order",
                        recurring_id=str(recurring.id),
                        error=str(e))
            continue

    logger.info("Generated recurring orders",
                tenant_id=str(tenant_id),
                count=generated_count)

    return generated_count
```

### Customer RFM Analysis
```python
async def calculate_customer_rfm(customer_id: UUID) -> dict:
    """
    Calculate RFM (Recency, Frequency, Monetary) metrics for customer.
    """
    # Get customer orders
    orders = await db.query(Order).filter(
        Order.customer_id == customer_id,
        Order.status.in_(['completed'])
    ).order_by(Order.order_date.desc()).all()

    if not orders:
        return {"rfm_score": 0, "segment": "inactive"}

    # Recency: Days since last order
    last_order_date = orders[0].order_date
    recency_days = (date.today() - last_order_date).days

    # Frequency: Number of orders in last 365 days
    one_year_ago = date.today() - timedelta(days=365)
    recent_orders = [o for o in orders if o.order_date >= one_year_ago]
    frequency = len(recent_orders)

    # Monetary: Total spend in last 365 days
    monetary = sum(o.total_amount for o in recent_orders)

    # Score each dimension (1-5 scale)
    recency_score = 5 if recency_days <= 30 else \
                   4 if recency_days <= 60 else \
                   3 if recency_days <= 90 else \
                   2 if recency_days <= 180 else 1

    frequency_score = 5 if frequency >= 12 else \
                     4 if frequency >= 6 else \
                     3 if frequency >= 3 else \
                     2 if frequency >= 1 else 1

    monetary_score = 5 if monetary >= 5000 else \
                    4 if monetary >= 2000 else \
                    3 if monetary >= 500 else \
                    2 if monetary >= 100 else 1

    # Overall RFM score
    rfm_score = (recency_score + frequency_score + monetary_score) / 3

    # Customer segment
    if rfm_score >= 4.5:
        segment = "champion"
    elif rfm_score >= 3.5:
        segment = "loyal"
    elif rfm_score >= 2.5:
        segment = "potential"
    elif rfm_score >= 1.5:
        segment = "at_risk"
    else:
        segment = "inactive"

    return {
        "rfm_score": round(rfm_score, 2),
        "recency_days": recency_days,
        "recency_score": recency_score,
        "frequency": frequency,
        "frequency_score": frequency_score,
        "monetary": float(monetary),
        "monetary_score": monetary_score,
        "segment": segment
    }
```

## Events & Messaging

### Published Events (RabbitMQ)

**Exchange**: `orders`
**Routing Keys**: `orders.created`, `orders.completed`, `orders.cancelled`, `orders.overdue`

**Order Created Event**
```json
{
    "event_type": "order_created",
    "tenant_id": "uuid",
    "order_id": "uuid",
    "order_number": "ORD-2025-1106-001",
    "customer_id": "uuid",
    "customer_name": "Restaurante El Prado",
    "order_type": "wholesale",
    "total_amount": 450.00,
    "requested_date": "2025-11-07",
    "requested_time": "06:00:00",
    "item_count": 12,
    "timestamp": "2025-11-06T10:30:00Z"
}
```

**Order Completed Event**
```json
{
    "event_type": "order_completed",
    "tenant_id": "uuid",
    "order_id": "uuid",
    "order_number": "ORD-2025-1106-001",
    "customer_id": "uuid",
    "total_amount": 450.00,
    "payment_status": "paid",
    "completed_at": "2025-11-07T06:15:00Z",
    "timestamp": "2025-11-07T06:15:00Z"
}
```

**Payment Overdue Alert**
```json
{
    "event_type": "payment_overdue",
    "tenant_id": "uuid",
    "invoice_id": "uuid",
    "invoice_number": "INV-2025-1106-001",
    "customer_id": "uuid",
    "customer_name": "Hotel Gran Vía",
    "amount_due": 850.00,
    "days_overdue": 15,
    "due_date": "2025-10-22",
    "timestamp": "2025-11-06T09:00:00Z"
}
```

### Alert Events

The Orders service also publishes procurement-related alerts through the alert processor.

**Exchange**: `events.exchange`
**Domain**: `procurement`

#### 1. POs Pending Approval Alert
**Event Type**: `procurement.pos_pending_approval`
**Severity**: urgent (>€10,000), high (>€5,000 or critical POs), medium (otherwise)
**Trigger**: New purchase orders created and awaiting approval

```json
{
    "event_type": "procurement.pos_pending_approval",
    "severity": "high",
    "metadata": {
        "tenant_id": "uuid",
        "pos_count": 3,
        "total_amount": 6500.00,
        "critical_count": 1,
        "pos": [
            {
                "po_id": "uuid",
                "po_number": "PO-001",
                "supplier_id": "uuid",
                "total_amount": 3000.00,
                "auto_approved": false
            }
        ],
        "action_required": true,
        "action_url": "/app/comprar"
    }
}
```

#### 2. Approval Reminder Alert
**Event Type**: `procurement.approval_reminder`
**Severity**: high (>36 hours pending), medium (otherwise)
**Trigger**: PO not approved within threshold time

```json
{
    "event_type": "procurement.approval_reminder",
    "severity": "high",
    "metadata": {
        "tenant_id": "uuid",
        "po_id": "uuid",
        "po_number": "PO-001",
        "supplier_name": "Supplier ABC",
        "total_amount": 3000.00,
        "hours_pending": 40,
        "created_at": "2025-12-18T10:00:00Z",
        "action_required": true,
        "action_url": "/app/comprar?po=uuid"
    }
}
```

#### 3. Critical PO Escalation Alert
**Event Type**: `procurement.critical_po_escalation`
**Severity**: urgent
**Trigger**: Critical/urgent PO not approved in time

```json
{
    "event_type": "procurement.critical_po_escalation",
    "severity": "urgent",
    "metadata": {
        "tenant_id": "uuid",
        "po_id": "uuid",
        "po_number": "PO-001",
        "supplier_name": "Supplier ABC",
        "total_amount": 5000.00,
        "priority": "urgent",
        "required_delivery_date": "2025-12-22",
        "hours_pending": 48,
        "escalated": true,
        "action_required": true,
        "action_url": "/app/comprar?po=uuid"
    }
}
```

#### 4. Auto-Approval Summary (Notification)
**Event Type**: `procurement.auto_approval_summary`
**Type**: Notification (not alert)
**Trigger**: Daily summary of auto-approved POs

```json
{
    "event_type": "procurement.auto_approval_summary",
    "metadata": {
        "tenant_id": "uuid",
        "auto_approved_count": 5,
        "total_auto_approved_amount": 8500.00,
        "manual_approval_count": 2,
        "summary_date": "2025-12-19",
        "auto_approved_pos": [...],
        "pending_approval_pos": [...],
        "action_url": "/app/comprar"
    }
}
```

#### 5. PO Approved Confirmation (Notification)
**Event Type**: `procurement.po_approved_confirmation`
**Type**: Notification (not alert)
**Trigger**: Purchase order approved

```json
{
    "event_type": "procurement.po_approved_confirmation",
    "metadata": {
        "tenant_id": "uuid",
        "po_id": "uuid",
        "po_number": "PO-001",
        "supplier_name": "Supplier ABC",
        "total_amount": 3000.00,
        "approved_by": "user@example.com",
        "auto_approved": false,
        "approved_at": "2025-12-19T14:30:00Z",
        "action_url": "/app/comprar?po=uuid"
    }
}
```

### Consumed Events
- **From Production**: Batch completion updates order fulfillment status
- **From Inventory**: Stock availability affects order confirmation
- **From Forecasting**: Demand forecasts inform production for pending orders

## Custom Metrics (Prometheus)

```python
# Order metrics
orders_total = Counter(
    'orders_total',
    'Total orders created',
    ['tenant_id', 'order_type', 'order_source', 'status']
)

order_value_euros = Histogram(
    'order_value_euros',
    'Order value distribution',
    ['tenant_id', 'order_type'],
    buckets=[10, 25, 50, 100, 200, 500, 1000, 2000, 5000]
)

# Customer metrics
customers_total = Gauge(
    'customers_total',
    'Total customers',
    ['tenant_id', 'customer_type']
)

customer_lifetime_value_euros = Histogram(
    'customer_lifetime_value_euros',
    'Customer lifetime value distribution',
    ['tenant_id', 'customer_type'],
    buckets=[100, 500, 1000, 2000, 5000, 10000, 20000, 50000]
)

# Fulfillment metrics
order_fulfillment_time_hours = Histogram(
    'order_fulfillment_time_hours',
    'Time from order to fulfillment',
    ['tenant_id', 'order_type'],
    buckets=[1, 6, 12, 24, 48, 72]
)

# Payment metrics
invoice_payment_time_days = Histogram(
    'invoice_payment_time_days',
    'Days from invoice to payment',
    ['tenant_id'],
    buckets=[0, 7, 14, 21, 30, 45, 60, 90]
)

overdue_invoices_total = Gauge(
    'overdue_invoices_total',
    'Total overdue invoices',
    ['tenant_id']
)
```

## Configuration

### Environment Variables

**Service Configuration:**
- `PORT` - Service port (default: 8010)
- `DATABASE_URL` - PostgreSQL connection string
- `REDIS_URL` - Redis connection string
- `RABBITMQ_URL` - RabbitMQ connection string

**Order Configuration:**
- `AUTO_CONFIRM_RETAIL_ORDERS` - Auto-confirm retail orders (default: true)
- `ORDER_NUMBER_PREFIX` - Order number prefix (default: "ORD")
- `DEFAULT_TAX_RATE` - Default tax rate (default: 0.10 for Spain's 10% IVA)
- `ENABLE_RECURRING_ORDERS` - Enable recurring order generation (default: true)

**Payment Configuration:**
- `DEFAULT_CREDIT_TERMS_DAYS` - Default payment terms (default: 30)
- `OVERDUE_ALERT_THRESHOLD_DAYS` - Days before overdue alert (default: 7)
- `MAX_CREDIT_LIMIT` - Maximum credit limit per customer (default: 10000.00)

**Notification:**
- `SEND_ORDER_CONFIRMATION` - Send order confirmation to customer (default: true)
- `SEND_READY_NOTIFICATION` - Notify when order ready (default: true)
- `SEND_OVERDUE_REMINDERS` - Send overdue payment reminders (default: true)

## Development Setup

### Prerequisites
- Python 3.11+
- PostgreSQL 17
- Redis 7.4
- RabbitMQ 4.1

### Local Development
```bash
cd services/orders
python -m venv venv
source venv/bin/activate

pip install -r requirements.txt

export DATABASE_URL=postgresql://user:pass@localhost:5432/orders
export REDIS_URL=redis://localhost:6379/0
export RABBITMQ_URL=amqp://guest:guest@localhost:5672/

alembic upgrade head
python main.py
```

## Integration Points

### Dependencies
- **Customers Service** - Customer data (if separate)
- **Products Service** - Product catalog and pricing
- **Inventory Service** - Stock availability checks
- **Production Service** - Production planning for orders
- **Auth Service** - User authentication
- **PostgreSQL** - Order and customer data
- **Redis** - Caching
- **RabbitMQ** - Event publishing

### Dependents
- **Production Service** - Orders trigger production planning
- **Inventory Service** - Orders reserve stock
- **Invoicing/Accounting** - Financial reporting
- **Notification Service** - Order confirmations and alerts
- **AI Insights Service** - Customer behavior analysis
- **Frontend Dashboard** - Order management UI

## Business Value for VUE Madrid

### Problem Statement
Spanish bakeries struggle with:
- Manual order tracking on paper or spreadsheets
- Lost orders and miscommunication (especially phone orders)
- No customer purchase history for relationship management
- Complex wholesale order management with multiple B2B clients
- Overdue payment tracking for credit accounts
- No analytics on customer behavior or product popularity

### Solution
Bakery-IA Orders Service provides:
- **Digital Order Management**: Capture all orders across channels
- **Customer Database**: Complete purchase history and preferences
- **B2B Automation**: Recurring orders and automated invoicing
- **Payment Tracking**: Monitor outstanding payments with alerts
- **Analytics**: Customer segmentation and product performance

### Quantifiable Impact

**Revenue Growth:**
- 10-20% revenue increase through improved B2B relationships
- 5-10% from reduced lost orders (99% order accuracy)
- 15-25% customer retention improvement with history tracking
- **Total: €300-600/month additional revenue per bakery**

**Time Savings:**
- 5-8 hours/week on order management and tracking
- 2-3 hours/week on invoicing and payment follow-up
- 1-2 hours/week on customer lookup and history
- **Total: 8-13 hours/week saved**

**Financial Performance:**
- 30% faster payment collection (overdue alerts)
- 50-70% time reduction on wholesale order processing
- 99%+ order accuracy vs. 85-90% manual

### Target Market Fit (Spanish Bakeries)
- **B2B Focus**: Many Spanish bakeries supply restaurants, hotels, cafés
- **Payment Terms**: Spanish B2B typically uses Net 30-60 payment terms
- **Relationship-Driven**: Customer history critical for Spanish business culture
- **Regulatory**: Spanish tax law requires proper invoicing and records

### ROI Calculation
**Investment**: €0 additional (included in platform subscription)
**Monthly Value**: €300-600 additional revenue + cost savings
**Annual ROI**: €3,600-7,200 value per bakery
**Payback**: Immediate (included in subscription)

---

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