See What's Possible with Aethyr

from aethyr import CustomerServiceBot, KnowledgeBase

# Initialize the customer service system
service_bot = CustomerServiceBot(
    name="SupportAI",
    knowledge_sources=[
        "help_documentation",
        "previous_tickets", 
        "product_catalog"
    ]
)

# Handle incoming customer inquiry
def handle_customer_message(message, customer_id):
    response = service_bot.process_inquiry(
        message=message,
        customer_context=service_bot.get_customer_history(customer_id),
        escalate_threshold=0.8
    )
    
    if response.confidence > 0.9:
        # High confidence - respond immediately
        return {
            'type': 'automated_response',
            'message': response.answer,
            'confidence': response.confidence,
            'resolution_time': response.processing_time
        }
    else:
        # Lower confidence - escalate with context
        return service_bot.create_escalation(
            inquiry=message,
            suggested_actions=response.suggestions,
            priority=service_bot.assess_priority(customer_id)
        )

# Real-time deployment across channels
service_bot.deploy_channels(['email', 'chat', 'social_media'])