# Example of an automated email response using a CRM system

def send_automated_email(customer_email, subject, message):
    # Function to send an automated email
    print(f"Sending email to {customer_email}")
    print(f"Subject: {subject}")
    print(f"Message: {message}")

# Trigger an automated email response when a new customer inquiry is received
def on_new_inquiry(customer_email, inquiry_details):
    subject = "Thank you for your inquiry!"
    message = f"Dear Customer,\n\nThank you for reaching out to us. We have received your inquiry about {inquiry_details} and will get back to you shortly.\n\nBest Regards,\nCustomer Support Team"
    send_automated_email(customer_email, subject, message)

# Simulate a new customer inquiry
customer_email = "[email protected]"
inquiry_details = "product pricing"
on_new_inquiry(customer_email, inquiry_details)

# Example of automated lead scoring using a CRM system

def calculate_lead_score(lead):
    # Function to calculate lead score based on interactions
    score = 0
    if lead['visited_website']:
        score += 10
    if lead['opened_email']:
        score += 20
    if lead['requested_demo']:
        score += 30
    return score

# Example lead data
lead = {
    'visited_website': True,
    'opened_email': True,
    'requested_demo': False
}

# Calculate lead score
lead_score = calculate_lead_score(lead)
print(f"Lead Score: {lead_score}")

# Function to assign tasks based on predefined rules
def assign_task(task, team_members):
    # Rule: Assign tasks in a round-robin manner
    assigned_member = team_members[0]
    team_members.append(team_members.pop(0))  # Move the assigned member to the end of the list
    return assigned_member

# Example team members
team_members = ["Alice", "Bob", "Charlie"]

# Example tasks
tasks = ["Follow up with lead", "Send proposal", "Schedule demo"]

# Assign tasks
for task in tasks:
    assigned_member = assign_task(task, team_members)
    print(f"Task: {task} assigned to {assigned_member}")

# Function to segment customers based on purchase history
def segment_customers(customers):
    segments = {
        'high_value': [],
        'medium_value': [],
        'low_value': []
    }
    for customer in customers:
        if customer['total_purchases'] > 1000:
            segments['high_value'].append(customer)
        elif customer['total_purchases'] > 500:
            segments['medium_value'].append(customer)
        else:
            segments['low_value'].append(customer)
    return segments

# Example customer data
customers = [
    {'name': 'John', 'total_purchases': 1200},
    {'name': 'Jane', 'total_purchases': 800},
    {'name': 'Doe', 'total_purchases': 300}
]

# Segment customers
customer_segments = segment_customers(customers)
print("Customer Segments:")
for segment, customer_list in customer_segments.items():
    print(f"{segment.capitalize()} Customers: {[customer['name'] for customer in customer_list]}")