Complete Execution Output (JSON):
{
"analyze_client_profile": {
"analysis_timestamp": "2025-07-17T08:41:52.405238",
"behavioral_patterns": [
"Responds well to research-based recommendations",
"Technology-savvy user",
"Seeks regular market updates"
],
"confidence_score": 0.89,
"engagement_level": {
"rating": "Low",
"score": 0.33
},
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"analysis_timestamp\": \"2025-07-17T08:41:52.405238\", \"primary_segment\": \"MF_INVESTOR\", \"segment_description\": \"Mutual Fund Investor\", \"secondary_characteristics\": [\"Risk Profile: MODERATE\", \"AUM Tier: Premium\", \"Trading Activity: Low\"], \"behavioral_patterns\": [\"Responds well to research-based recommendations\", \"Technology-savvy user\", \"Seeks regular market updates\"], \"engagement_level\": {\"score\": 0.33, \"rating\": \"Low\"}, \"investment_preferences\": {\"preferred_products\": [\"equity\", \"mutual_funds\"], \"risk_appetite\": \"MODERATE\", \"investment_horizon\": \"Short-term\"}, \"confidence_score\": 0.89}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.197529,
"end_time": "2025-07-17T08:41:52.469690",
"message_sent": true,
"start_time": "2025-07-17T08:41:51.272161",
"timestamp": "2025-07-17T08:41:52.469690",
"worker_executed": true,
"workers_notified": true
},
"investment_preferences": {
"investment_horizon": "Short-term",
"preferred_products": [
"equity",
"mutual_funds"
],
"risk_appetite": "MODERATE"
},
"output": "__OUTPUTS__ {\"analysis_timestamp\": \"2025-07-17T08:41:52.405238\", \"primary_segment\": \"MF_INVESTOR\", \"segment_description\": \"Mutual Fund Investor\", \"secondary_characteristics\": [\"Risk Profile: MODERATE\", \"AUM Tier: Premium\", \"Trading Activity: Low\"], \"behavioral_patterns\": [\"Responds well to research-based recommendations\", \"Technology-savvy user\", \"Seeks regular market updates\"], \"engagement_level\": {\"score\": 0.33, \"rating\": \"Low\"}, \"investment_preferences\": {\"preferred_products\": [\"equity\", \"mutual_funds\"], \"risk_appetite\": \"MODERATE\", \"investment_horizon\": \"Short-term\"}, \"confidence_score\": 0.89}\n",
"primary_segment": "MF_INVESTOR",
"return_code": 0,
"secondary_characteristics": [
"Risk Profile: MODERATE",
"AUM Tier: Premium",
"Trading Activity: Low"
],
"segment_description": "Mutual Fund Investor",
"status": "completed",
"stderr": "",
"task_id": "analyze_client_profile"
},
"assess_client_risk": {
"assessment_timestamp": "2025-07-17T08:41:53.687511",
"churn_risk_score": 0.55,
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"assessment_timestamp\": \"2025-07-17T08:41:53.687511\", \"risk_level\": \"MEDIUM\", \"risk_description\": \"Monitor closely\", \"churn_risk_score\": 0.55, \"risk_factors\": [\"Reduced trading activity\", \"Low platform engagement\"], \"portfolio_risk\": {\"level\": \"LOW\", \"concentration_ratio\": 0.6, \"diversification_score\": 0.4}, \"relationship_health\": {\"score\": 0.45, \"status\": \"At Risk\"}, \"recommended_interventions\": [\"Enhanced engagement campaign\", \"Educational content delivery\", \"Regular market updates\", \"Product demonstrations\"], \"next_review_date\": \"2025-07-31\"}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.244125,
"end_time": "2025-07-17T08:41:53.765940",
"message_sent": true,
"start_time": "2025-07-17T08:41:52.521815",
"timestamp": "2025-07-17T08:41:53.765940",
"worker_executed": true,
"workers_notified": true
},
"next_review_date": "2025-07-31",
"output": "__OUTPUTS__ {\"assessment_timestamp\": \"2025-07-17T08:41:53.687511\", \"risk_level\": \"MEDIUM\", \"risk_description\": \"Monitor closely\", \"churn_risk_score\": 0.55, \"risk_factors\": [\"Reduced trading activity\", \"Low platform engagement\"], \"portfolio_risk\": {\"level\": \"LOW\", \"concentration_ratio\": 0.6, \"diversification_score\": 0.4}, \"relationship_health\": {\"score\": 0.45, \"status\": \"At Risk\"}, \"recommended_interventions\": [\"Enhanced engagement campaign\", \"Educational content delivery\", \"Regular market updates\", \"Product demonstrations\"], \"next_review_date\": \"2025-07-31\"}\n",
"portfolio_risk": {
"concentration_ratio": 0.6,
"diversification_score": 0.4,
"level": "LOW"
},
"recommended_interventions": [
"Enhanced engagement campaign",
"Educational content delivery",
"Regular market updates",
"Product demonstrations"
],
"relationship_health": {
"score": 0.45,
"status": "At Risk"
},
"return_code": 0,
"risk_description": "Monitor closely",
"risk_factors": [
"Reduced trading activity",
"Low platform engagement"
],
"risk_level": "MEDIUM",
"status": "completed",
"stderr": "",
"task_id": "assess_client_risk"
},
"collect_client_data": {
"client_data": {
"basic_info": {
"age": 45,
"city": "Mumbai",
"kyc_status": "VERIFIED",
"name": "Rajesh Kumar",
"occupation": "Business Owner",
"registration_date": "2020-01-15",
"risk_profile": "MODERATE",
"sub_broker_id": "SB852"
},
"behavioral_data": {
"login_frequency": "monthly",
"mobile_app_usage": "medium",
"research_report_downloads": 25,
"support_interactions": 1,
"webinar_attendance": 2
},
"client_id": "C001",
"communication_preferences": {
"channel": "phone",
"content_type": "product_offers",
"frequency": "weekly"
},
"portfolio": {
"active_loans": 2,
"cash_balance": 83248,
"equity_holdings": 510000,
"insurance_policies": 2,
"mutual_funds": 212500,
"total_aum": 850000
},
"transaction_history": {
"avg_monthly_volume": 124830,
"last_transaction_date": "2025-06-29",
"preferred_segments": [
"equity",
"mutual_funds"
],
"total_trades_ytd": 41,
"trading_frequency": "low"
}
},
"collection_timestamp": "2025-07-17T08:41:51.187986",
"data_quality_score": 0.91,
"data_sources": [
"trading_system",
"crm",
"support_system",
"mobile_app"
],
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"status\": \"success\", \"client_data\": {\"client_id\": \"C001\", \"basic_info\": {\"name\": \"Rajesh Kumar\", \"city\": \"Mumbai\", \"age\": 45, \"occupation\": \"Business Owner\", \"registration_date\": \"2020-01-15\", \"kyc_status\": \"VERIFIED\", \"risk_profile\": \"MODERATE\", \"sub_broker_id\": \"SB852\"}, \"portfolio\": {\"equity_holdings\": 510000, \"mutual_funds\": 212500, \"insurance_policies\": 2, \"active_loans\": 2, \"total_aum\": 850000, \"cash_balance\": 83248}, \"transaction_history\": {\"last_transaction_date\": \"2025-06-29\", \"avg_monthly_volume\": 124830, \"preferred_segments\": [\"equity\", \"mutual_funds\"], \"trading_frequency\": \"low\", \"total_trades_ytd\": 41}, \"behavioral_data\": {\"login_frequency\": \"monthly\", \"mobile_app_usage\": \"medium\", \"support_interactions\": 1, \"webinar_attendance\": 2, \"research_report_downloads\": 25}, \"communication_preferences\": {\"channel\": \"phone\", \"frequency\": \"weekly\", \"content_type\": \"product_offers\"}}, \"data_sources\": [\"trading_system\", \"crm\", \"support_system\", \"mobile_app\"], \"collection_timestamp\": \"2025-07-17T08:41:51.187986\", \"data_quality_score\": 0.91}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.184747,
"end_time": "2025-07-17T08:41:51.249519",
"message_sent": true,
"start_time": "2025-07-17T08:41:50.064772",
"timestamp": "2025-07-17T08:41:51.249519",
"worker_executed": true,
"workers_notified": true
},
"output": "__OUTPUTS__ {\"status\": \"success\", \"client_data\": {\"client_id\": \"C001\", \"basic_info\": {\"name\": \"Rajesh Kumar\", \"city\": \"Mumbai\", \"age\": 45, \"occupation\": \"Business Owner\", \"registration_date\": \"2020-01-15\", \"kyc_status\": \"VERIFIED\", \"risk_profile\": \"MODERATE\", \"sub_broker_id\": \"SB852\"}, \"portfolio\": {\"equity_holdings\": 510000, \"mutual_funds\": 212500, \"insurance_policies\": 2, \"active_loans\": 2, \"total_aum\": 850000, \"cash_balance\": 83248}, \"transaction_history\": {\"last_transaction_date\": \"2025-06-29\", \"avg_monthly_volume\": 124830, \"preferred_segments\": [\"equity\", \"mutual_funds\"], \"trading_frequency\": \"low\", \"total_trades_ytd\": 41}, \"behavioral_data\": {\"login_frequency\": \"monthly\", \"mobile_app_usage\": \"medium\", \"support_interactions\": 1, \"webinar_attendance\": 2, \"research_report_downloads\": 25}, \"communication_preferences\": {\"channel\": \"phone\", \"frequency\": \"weekly\", \"content_type\": \"product_offers\"}}, \"data_sources\": [\"trading_system\", \"crm\", \"support_system\", \"mobile_app\"], \"collection_timestamp\": \"2025-07-17T08:41:51.187986\", \"data_quality_score\": 0.91}\n",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "collect_client_data"
},
"create_engagement_campaign": {
"campaign_timestamp": "2025-07-17T08:41:55.142677",
"campaign_type": "ENGAGEMENT_BOOST",
"client_id": "C001",
"communication_schedule": {
"week_1": [
"Welcome to enhanced engagement program",
"Personalized market insights"
],
"week_2": [
"Webinar invitation",
"Educational content delivery"
],
"week_3": [
"Portfolio optimization tips",
"New product announcements"
],
"week_4": [
"Month-end review",
"Satisfaction survey"
]
},
"content_recommendations": [
"Technical Analysis Basics",
"Stock Picking Strategies",
"Portfolio Rebalancing",
"SIP Benefits Masterclass"
],
"duration": "30 days",
"engagement_activities": [
{
"date": "2025-07-25",
"priority": "HIGH",
"title": "Technical Analysis Basics",
"type": "webinar_invitation"
},
{
"frequency": "Weekly",
"priority": "MEDIUM",
"title": "Weekly Market Commentary",
"type": "market_insights"
},
{
"date": "2025-07-31",
"priority": "LOW",
"title": "New Trading Platform Features",
"type": "product_demo"
},
{
"date": "2025-09-07",
"priority": "MEDIUM",
"title": "Quarterly Portfolio Health Check",
"type": "portfolio_review"
}
],
"escalation_conditions": [
"No engagement within 7 days",
"Declined webinar invitations",
"Reduced platform usage"
],
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"campaign_timestamp\": \"2025-07-17T08:41:55.142677\", \"client_id\": \"C001\", \"campaign_type\": \"ENGAGEMENT_BOOST\", \"duration\": \"30 days\", \"engagement_activities\": [{\"type\": \"webinar_invitation\", \"title\": \"Technical Analysis Basics\", \"date\": \"2025-07-25\", \"priority\": \"HIGH\"}, {\"type\": \"market_insights\", \"title\": \"Weekly Market Commentary\", \"frequency\": \"Weekly\", \"priority\": \"MEDIUM\"}, {\"type\": \"product_demo\", \"title\": \"New Trading Platform Features\", \"date\": \"2025-07-31\", \"priority\": \"LOW\"}, {\"type\": \"portfolio_review\", \"title\": \"Quarterly Portfolio Health Check\", \"date\": \"2025-09-07\", \"priority\": \"MEDIUM\"}], \"content_recommendations\": [\"Technical Analysis Basics\", \"Stock Picking Strategies\", \"Portfolio Rebalancing\", \"SIP Benefits Masterclass\"], \"communication_schedule\": {\"week_1\": [\"Welcome to enhanced engagement program\", \"Personalized market insights\"], \"week_2\": [\"Webinar invitation\", \"Educational content delivery\"], \"week_3\": [\"Portfolio optimization tips\", \"New product announcements\"], \"week_4\": [\"Month-end review\", \"Satisfaction survey\"]}, \"success_metrics\": {\"target_engagement_increase\": \"25%\", \"webinar_attendance_goal\": \"2 sessions\", \"platform_usage_increase\": \"30%\", \"content_consumption_target\": \"5 pieces\"}, \"personalization_elements\": {\"preferred_communication_time\": \"10:00 AM - 12:00 PM\", \"content_format\": \"Video + PDF summary\", \"interaction_style\": \"Educational focus\"}, \"escalation_conditions\": [\"No engagement within 7 days\", \"Declined webinar invitations\", \"Reduced platform usage\"]}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.20485,
"end_time": "2025-07-17T08:41:55.216295",
"message_sent": true,
"start_time": "2025-07-17T08:41:54.011445",
"timestamp": "2025-07-17T08:41:55.216295",
"worker_executed": true,
"workers_notified": true
},
"output": "__OUTPUTS__ {\"campaign_timestamp\": \"2025-07-17T08:41:55.142677\", \"client_id\": \"C001\", \"campaign_type\": \"ENGAGEMENT_BOOST\", \"duration\": \"30 days\", \"engagement_activities\": [{\"type\": \"webinar_invitation\", \"title\": \"Technical Analysis Basics\", \"date\": \"2025-07-25\", \"priority\": \"HIGH\"}, {\"type\": \"market_insights\", \"title\": \"Weekly Market Commentary\", \"frequency\": \"Weekly\", \"priority\": \"MEDIUM\"}, {\"type\": \"product_demo\", \"title\": \"New Trading Platform Features\", \"date\": \"2025-07-31\", \"priority\": \"LOW\"}, {\"type\": \"portfolio_review\", \"title\": \"Quarterly Portfolio Health Check\", \"date\": \"2025-09-07\", \"priority\": \"MEDIUM\"}], \"content_recommendations\": [\"Technical Analysis Basics\", \"Stock Picking Strategies\", \"Portfolio Rebalancing\", \"SIP Benefits Masterclass\"], \"communication_schedule\": {\"week_1\": [\"Welcome to enhanced engagement program\", \"Personalized market insights\"], \"week_2\": [\"Webinar invitation\", \"Educational content delivery\"], \"week_3\": [\"Portfolio optimization tips\", \"New product announcements\"], \"week_4\": [\"Month-end review\", \"Satisfaction survey\"]}, \"success_metrics\": {\"target_engagement_increase\": \"25%\", \"webinar_attendance_goal\": \"2 sessions\", \"platform_usage_increase\": \"30%\", \"content_consumption_target\": \"5 pieces\"}, \"personalization_elements\": {\"preferred_communication_time\": \"10:00 AM - 12:00 PM\", \"content_format\": \"Video + PDF summary\", \"interaction_style\": \"Educational focus\"}, \"escalation_conditions\": [\"No engagement within 7 days\", \"Declined webinar invitations\", \"Reduced platform usage\"]}\n",
"personalization_elements": {
"content_format": "Video + PDF summary",
"interaction_style": "Educational focus",
"preferred_communication_time": "10:00 AM - 12:00 PM"
},
"return_code": 0,
"status": "completed",
"stderr": "",
"success_metrics": {
"content_consumption_target": "5 pieces",
"platform_usage_increase": "30%",
"target_engagement_increase": "25%",
"webinar_attendance_goal": "2 sessions"
},
"task_id": "create_engagement_campaign"
},
"execution_summary": {
"completed_tasks": 8,
"dependencies_detected": false,
"end_time": "2025-07-17T08:44:59.142422",
"execution_mode": "distributed",
"start_time": "2025-07-17T08:41:48.967560",
"total_tasks": 9
},
"generate_performance_metrics": {
"analytics_timestamp": "2025-07-17T08:44:57.738127",
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"metrics_generated\": true, \"performance_metrics\": {\"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"client_id\": \"123\", \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"execution_metrics\": {\"total_execution_time\": \"21 seconds\", \"tasks_completed\": 12, \"tasks_successful\": 12, \"success_rate\": 100.0, \"data_quality_score\": 0.91, \"ai_confidence_average\": 0.94}, \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"response_metrics\": {\"response_received\": false, \"response_positive\": false, \"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"retention_probability_improvement\": \"+17%\", \"engagement_score_improvement\": \"+24%\", \"cross_sell_opportunities_identified\": 2, \"client_satisfaction_impact\": \"+24%\"}, \"success_indicators\": {\"data_collection\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"tracking\": \"SUCCESS\"}, \"next_actions\": {\"follow_up_required\": false, \"escalation_needed\": false, \"next_review_date\": \"2025-08-16T08:44:57.738043\", \"recommended_action\": \"escalate\"}, \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"analytics_timestamp\": \"2025-07-17T08:44:57.738127\", \"report_confidence\": 0.94}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.217068,
"end_time": "2025-07-17T08:44:57.802462",
"message_sent": true,
"start_time": "2025-07-17T08:44:56.585394",
"timestamp": "2025-07-17T08:44:57.802462",
"worker_executed": true,
"workers_notified": true
},
"metrics_generated": true,
"output": "__OUTPUTS__ {\"metrics_generated\": true, \"performance_metrics\": {\"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"client_id\": \"123\", \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"execution_metrics\": {\"total_execution_time\": \"21 seconds\", \"tasks_completed\": 12, \"tasks_successful\": 12, \"success_rate\": 100.0, \"data_quality_score\": 0.91, \"ai_confidence_average\": 0.94}, \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"response_metrics\": {\"response_received\": false, \"response_positive\": false, \"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"retention_probability_improvement\": \"+17%\", \"engagement_score_improvement\": \"+24%\", \"cross_sell_opportunities_identified\": 2, \"client_satisfaction_impact\": \"+24%\"}, \"success_indicators\": {\"data_collection\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"tracking\": \"SUCCESS\"}, \"next_actions\": {\"follow_up_required\": false, \"escalation_needed\": false, \"next_review_date\": \"2025-08-16T08:44:57.738043\", \"recommended_action\": \"escalate\"}, \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"analytics_timestamp\": \"2025-07-17T08:44:57.738127\", \"report_confidence\": 0.94}\n",
"performance_metrics": {
"business_impact": {
"client_satisfaction_impact": "+24%",
"cross_sell_opportunities_identified": 2,
"engagement_score_improvement": "+24%",
"estimated_revenue_impact": "\u20b925668",
"retention_probability_improvement": "+17%"
},
"client_id": "123",
"execution_id": "a3bad0d1-36d3-4120-8125-f817ac76272c",
"execution_metrics": {
"ai_confidence_average": 0.94,
"data_quality_score": 0.91,
"success_rate": 100.0,
"tasks_completed": 12,
"tasks_successful": 12,
"total_execution_time": "21 seconds"
},
"improvement_recommendations": [
"Improve response time tracking accuracy",
"Enhance data collection frequency for better insights",
"Implement A/B testing for communication strategies"
],
"next_actions": {
"escalation_needed": false,
"follow_up_required": false,
"next_review_date": "2025-08-16T08:44:57.738043",
"recommended_action": "escalate"
},
"processing_timestamp": "2025-07-17T08:44:57.738017",
"response_metrics": {
"engagement_score": 0,
"response_positive": false,
"response_received": false,
"tracking_quality": {
"click_through_rate": 0.12,
"email_open_rate": 0.5,
"interaction_depth": "none",
"sentiment_score": 0.5,
"time_to_response": "No response"
}
},
"route_performance": {
"avg_response_time": "1.8 days",
"avg_success_rate": 0.48
},
"route_taken": "UNRESOLVED_risk_based_router.selected_route",
"success_indicators": {
"communication": "SUCCESS",
"data_collection": "SUCCESS",
"notifications": "SUCCESS",
"recommendations": "SUCCESS",
"risk_assessment": "SUCCESS",
"tracking": "SUCCESS"
},
"workflow_id": "UNRESOLVED_WORKFLOW_ID"
},
"report_confidence": 0.94,
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "generate_performance_metrics"
},
"prepare_campaign_execution": {
"error": "Unsupported task type: parallel",
"execution_details": {
"failed": true,
"message_sent": true,
"worker_executed": true,
"workers_notified": true
},
"output": "Task failed: Unsupported task type: parallel",
"status": "FAILED",
"task_id": "prepare_campaign_execution"
},
"risk_based_router": {
"all_conditions_checked": [
{
"condition": "${assess_client_risk.risk_level} == \u0027HIGH\u0027",
"name": "high_risk_client",
"result": false,
"route": "retention_path"
},
{
"condition": "${assess_client_risk.risk_level} == \u0027MEDIUM\u0027",
"name": "medium_risk_client",
"result": true,
"route": "engagement_path"
}
],
"duration_seconds": 0.000936,
"ended_at": "2025-07-17T08:41:53.888912",
"evaluation_details": {
"condition_index": 1,
"matched_condition": {
"condition": "${assess_client_risk.risk_level} == \u0027MEDIUM\u0027",
"name": "medium_risk_client",
"result": true,
"route": "engagement_path"
}
},
"execution_details": {
"actual_result": {
"output": "Route selected: engagement_path\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"engagement_path\", \"route_reason\": \"condition_matched: medium_risk_client\", \"evaluation_details\": {\"matched_condition\": {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}, \"condition_index\": 1}, \"all_conditions_checked\": [{\"name\": \"high_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027HIGH\u0027\", \"result\": false, \"route\": \"retention_path\"}, {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}], \"duration_seconds\": 0.000936, \"started_at\": \"2025-07-17T08:41:53.887976\", \"ended_at\": \"2025-07-17T08:41:53.888912\"}",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 0.159103,
"end_time": "2025-07-17T08:41:53.947742",
"message_sent": true,
"start_time": "2025-07-17T08:41:53.788639",
"timestamp": "2025-07-17T08:41:53.947742",
"worker_executed": true,
"workers_notified": true
},
"output": "Route selected: engagement_path\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"engagement_path\", \"route_reason\": \"condition_matched: medium_risk_client\", \"evaluation_details\": {\"matched_condition\": {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}, \"condition_index\": 1}, \"all_conditions_checked\": [{\"name\": \"high_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027HIGH\u0027\", \"result\": false, \"route\": \"retention_path\"}, {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}], \"duration_seconds\": 0.000936, \"started_at\": \"2025-07-17T08:41:53.887976\", \"ended_at\": \"2025-07-17T08:41:53.888912\"}",
"return_code": 0,
"route_reason": "condition_matched: medium_risk_client",
"router_type": "condition",
"selected_route": "engagement_path",
"started_at": "2025-07-17T08:41:53.887976",
"status": "completed",
"stderr": "",
"task_id": "risk_based_router"
},
"simulate_response_tracking": {
"analysis_timestamp": "2025-07-17T08:44:56.480718",
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"response_tracked\": true, \"response_data\": {\"client_id\": \"123\", \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"has_response\": false, \"is_positive\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_channel\": null, \"response_type\": null, \"response_time_minutes\": null, \"engagement_score\": 0, \"follow_up_required\": false, \"next_action\": \"escalate\"}, \"tracking_metrics\": {\"email_open_rate\": 0.5, \"click_through_rate\": 0.12, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"sentiment_score\": 0.5}, \"analysis_timestamp\": \"2025-07-17T08:44:56.480718\", \"recommendation\": \"Retry with different approach\"}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.201776,
"end_time": "2025-07-17T08:44:56.551208",
"message_sent": true,
"start_time": "2025-07-17T08:44:55.349432",
"timestamp": "2025-07-17T08:44:56.551208",
"worker_executed": true,
"workers_notified": true
},
"output": "__OUTPUTS__ {\"response_tracked\": true, \"response_data\": {\"client_id\": \"123\", \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"has_response\": false, \"is_positive\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_channel\": null, \"response_type\": null, \"response_time_minutes\": null, \"engagement_score\": 0, \"follow_up_required\": false, \"next_action\": \"escalate\"}, \"tracking_metrics\": {\"email_open_rate\": 0.5, \"click_through_rate\": 0.12, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"sentiment_score\": 0.5}, \"analysis_timestamp\": \"2025-07-17T08:44:56.480718\", \"recommendation\": \"Retry with different approach\"}\n",
"recommendation": "Retry with different approach",
"response_data": {
"campaign_route": "UNRESOLVED_risk_based_router.selected_route",
"client_id": "123",
"engagement_score": 0,
"follow_up_required": false,
"has_response": false,
"is_positive": false,
"next_action": "escalate",
"response_channel": null,
"response_time_minutes": null,
"response_timestamp": "2025-07-17T08:44:56.480649",
"response_type": null
},
"response_tracked": true,
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "simulate_response_tracking",
"tracking_metrics": {
"click_through_rate": 0.12,
"email_open_rate": 0.5,
"interaction_depth": "none",
"sentiment_score": 0.5,
"time_to_response": "No response"
}
},
"status": "FAILED",
"task_outputs": {
"analyze_client_profile": {
"analysis_timestamp": "2025-07-17T08:41:52.405238",
"behavioral_patterns": [
"Responds well to research-based recommendations",
"Technology-savvy user",
"Seeks regular market updates"
],
"confidence_score": 0.89,
"engagement_level": {
"rating": "Low",
"score": 0.33
},
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"analysis_timestamp\": \"2025-07-17T08:41:52.405238\", \"primary_segment\": \"MF_INVESTOR\", \"segment_description\": \"Mutual Fund Investor\", \"secondary_characteristics\": [\"Risk Profile: MODERATE\", \"AUM Tier: Premium\", \"Trading Activity: Low\"], \"behavioral_patterns\": [\"Responds well to research-based recommendations\", \"Technology-savvy user\", \"Seeks regular market updates\"], \"engagement_level\": {\"score\": 0.33, \"rating\": \"Low\"}, \"investment_preferences\": {\"preferred_products\": [\"equity\", \"mutual_funds\"], \"risk_appetite\": \"MODERATE\", \"investment_horizon\": \"Short-term\"}, \"confidence_score\": 0.89}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.197529,
"end_time": "2025-07-17T08:41:52.469690",
"message_sent": true,
"start_time": "2025-07-17T08:41:51.272161",
"timestamp": "2025-07-17T08:41:52.469690",
"worker_executed": true,
"workers_notified": true
},
"investment_preferences": {
"investment_horizon": "Short-term",
"preferred_products": [
"equity",
"mutual_funds"
],
"risk_appetite": "MODERATE"
},
"output": "__OUTPUTS__ {\"analysis_timestamp\": \"2025-07-17T08:41:52.405238\", \"primary_segment\": \"MF_INVESTOR\", \"segment_description\": \"Mutual Fund Investor\", \"secondary_characteristics\": [\"Risk Profile: MODERATE\", \"AUM Tier: Premium\", \"Trading Activity: Low\"], \"behavioral_patterns\": [\"Responds well to research-based recommendations\", \"Technology-savvy user\", \"Seeks regular market updates\"], \"engagement_level\": {\"score\": 0.33, \"rating\": \"Low\"}, \"investment_preferences\": {\"preferred_products\": [\"equity\", \"mutual_funds\"], \"risk_appetite\": \"MODERATE\", \"investment_horizon\": \"Short-term\"}, \"confidence_score\": 0.89}\n",
"primary_segment": "MF_INVESTOR",
"return_code": 0,
"secondary_characteristics": [
"Risk Profile: MODERATE",
"AUM Tier: Premium",
"Trading Activity: Low"
],
"segment_description": "Mutual Fund Investor",
"status": "completed",
"stderr": "",
"task_id": "analyze_client_profile"
},
"assess_client_risk": {
"assessment_timestamp": "2025-07-17T08:41:53.687511",
"churn_risk_score": 0.55,
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"assessment_timestamp\": \"2025-07-17T08:41:53.687511\", \"risk_level\": \"MEDIUM\", \"risk_description\": \"Monitor closely\", \"churn_risk_score\": 0.55, \"risk_factors\": [\"Reduced trading activity\", \"Low platform engagement\"], \"portfolio_risk\": {\"level\": \"LOW\", \"concentration_ratio\": 0.6, \"diversification_score\": 0.4}, \"relationship_health\": {\"score\": 0.45, \"status\": \"At Risk\"}, \"recommended_interventions\": [\"Enhanced engagement campaign\", \"Educational content delivery\", \"Regular market updates\", \"Product demonstrations\"], \"next_review_date\": \"2025-07-31\"}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.244125,
"end_time": "2025-07-17T08:41:53.765940",
"message_sent": true,
"start_time": "2025-07-17T08:41:52.521815",
"timestamp": "2025-07-17T08:41:53.765940",
"worker_executed": true,
"workers_notified": true
},
"next_review_date": "2025-07-31",
"output": "__OUTPUTS__ {\"assessment_timestamp\": \"2025-07-17T08:41:53.687511\", \"risk_level\": \"MEDIUM\", \"risk_description\": \"Monitor closely\", \"churn_risk_score\": 0.55, \"risk_factors\": [\"Reduced trading activity\", \"Low platform engagement\"], \"portfolio_risk\": {\"level\": \"LOW\", \"concentration_ratio\": 0.6, \"diversification_score\": 0.4}, \"relationship_health\": {\"score\": 0.45, \"status\": \"At Risk\"}, \"recommended_interventions\": [\"Enhanced engagement campaign\", \"Educational content delivery\", \"Regular market updates\", \"Product demonstrations\"], \"next_review_date\": \"2025-07-31\"}\n",
"portfolio_risk": {
"concentration_ratio": 0.6,
"diversification_score": 0.4,
"level": "LOW"
},
"recommended_interventions": [
"Enhanced engagement campaign",
"Educational content delivery",
"Regular market updates",
"Product demonstrations"
],
"relationship_health": {
"score": 0.45,
"status": "At Risk"
},
"return_code": 0,
"risk_description": "Monitor closely",
"risk_factors": [
"Reduced trading activity",
"Low platform engagement"
],
"risk_level": "MEDIUM",
"status": "completed",
"stderr": "",
"task_id": "assess_client_risk"
},
"collect_client_data": {
"client_data": {
"basic_info": {
"age": 45,
"city": "Mumbai",
"kyc_status": "VERIFIED",
"name": "Rajesh Kumar",
"occupation": "Business Owner",
"registration_date": "2020-01-15",
"risk_profile": "MODERATE",
"sub_broker_id": "SB852"
},
"behavioral_data": {
"login_frequency": "monthly",
"mobile_app_usage": "medium",
"research_report_downloads": 25,
"support_interactions": 1,
"webinar_attendance": 2
},
"client_id": "C001",
"communication_preferences": {
"channel": "phone",
"content_type": "product_offers",
"frequency": "weekly"
},
"portfolio": {
"active_loans": 2,
"cash_balance": 83248,
"equity_holdings": 510000,
"insurance_policies": 2,
"mutual_funds": 212500,
"total_aum": 850000
},
"transaction_history": {
"avg_monthly_volume": 124830,
"last_transaction_date": "2025-06-29",
"preferred_segments": [
"equity",
"mutual_funds"
],
"total_trades_ytd": 41,
"trading_frequency": "low"
}
},
"collection_timestamp": "2025-07-17T08:41:51.187986",
"data_quality_score": 0.91,
"data_sources": [
"trading_system",
"crm",
"support_system",
"mobile_app"
],
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"status\": \"success\", \"client_data\": {\"client_id\": \"C001\", \"basic_info\": {\"name\": \"Rajesh Kumar\", \"city\": \"Mumbai\", \"age\": 45, \"occupation\": \"Business Owner\", \"registration_date\": \"2020-01-15\", \"kyc_status\": \"VERIFIED\", \"risk_profile\": \"MODERATE\", \"sub_broker_id\": \"SB852\"}, \"portfolio\": {\"equity_holdings\": 510000, \"mutual_funds\": 212500, \"insurance_policies\": 2, \"active_loans\": 2, \"total_aum\": 850000, \"cash_balance\": 83248}, \"transaction_history\": {\"last_transaction_date\": \"2025-06-29\", \"avg_monthly_volume\": 124830, \"preferred_segments\": [\"equity\", \"mutual_funds\"], \"trading_frequency\": \"low\", \"total_trades_ytd\": 41}, \"behavioral_data\": {\"login_frequency\": \"monthly\", \"mobile_app_usage\": \"medium\", \"support_interactions\": 1, \"webinar_attendance\": 2, \"research_report_downloads\": 25}, \"communication_preferences\": {\"channel\": \"phone\", \"frequency\": \"weekly\", \"content_type\": \"product_offers\"}}, \"data_sources\": [\"trading_system\", \"crm\", \"support_system\", \"mobile_app\"], \"collection_timestamp\": \"2025-07-17T08:41:51.187986\", \"data_quality_score\": 0.91}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.184747,
"end_time": "2025-07-17T08:41:51.249519",
"message_sent": true,
"start_time": "2025-07-17T08:41:50.064772",
"timestamp": "2025-07-17T08:41:51.249519",
"worker_executed": true,
"workers_notified": true
},
"output": "__OUTPUTS__ {\"status\": \"success\", \"client_data\": {\"client_id\": \"C001\", \"basic_info\": {\"name\": \"Rajesh Kumar\", \"city\": \"Mumbai\", \"age\": 45, \"occupation\": \"Business Owner\", \"registration_date\": \"2020-01-15\", \"kyc_status\": \"VERIFIED\", \"risk_profile\": \"MODERATE\", \"sub_broker_id\": \"SB852\"}, \"portfolio\": {\"equity_holdings\": 510000, \"mutual_funds\": 212500, \"insurance_policies\": 2, \"active_loans\": 2, \"total_aum\": 850000, \"cash_balance\": 83248}, \"transaction_history\": {\"last_transaction_date\": \"2025-06-29\", \"avg_monthly_volume\": 124830, \"preferred_segments\": [\"equity\", \"mutual_funds\"], \"trading_frequency\": \"low\", \"total_trades_ytd\": 41}, \"behavioral_data\": {\"login_frequency\": \"monthly\", \"mobile_app_usage\": \"medium\", \"support_interactions\": 1, \"webinar_attendance\": 2, \"research_report_downloads\": 25}, \"communication_preferences\": {\"channel\": \"phone\", \"frequency\": \"weekly\", \"content_type\": \"product_offers\"}}, \"data_sources\": [\"trading_system\", \"crm\", \"support_system\", \"mobile_app\"], \"collection_timestamp\": \"2025-07-17T08:41:51.187986\", \"data_quality_score\": 0.91}\n",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "collect_client_data"
},
"create_engagement_campaign": {
"campaign_timestamp": "2025-07-17T08:41:55.142677",
"campaign_type": "ENGAGEMENT_BOOST",
"client_id": "C001",
"communication_schedule": {
"week_1": [
"Welcome to enhanced engagement program",
"Personalized market insights"
],
"week_2": [
"Webinar invitation",
"Educational content delivery"
],
"week_3": [
"Portfolio optimization tips",
"New product announcements"
],
"week_4": [
"Month-end review",
"Satisfaction survey"
]
},
"content_recommendations": [
"Technical Analysis Basics",
"Stock Picking Strategies",
"Portfolio Rebalancing",
"SIP Benefits Masterclass"
],
"duration": "30 days",
"engagement_activities": [
{
"date": "2025-07-25",
"priority": "HIGH",
"title": "Technical Analysis Basics",
"type": "webinar_invitation"
},
{
"frequency": "Weekly",
"priority": "MEDIUM",
"title": "Weekly Market Commentary",
"type": "market_insights"
},
{
"date": "2025-07-31",
"priority": "LOW",
"title": "New Trading Platform Features",
"type": "product_demo"
},
{
"date": "2025-09-07",
"priority": "MEDIUM",
"title": "Quarterly Portfolio Health Check",
"type": "portfolio_review"
}
],
"escalation_conditions": [
"No engagement within 7 days",
"Declined webinar invitations",
"Reduced platform usage"
],
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"campaign_timestamp\": \"2025-07-17T08:41:55.142677\", \"client_id\": \"C001\", \"campaign_type\": \"ENGAGEMENT_BOOST\", \"duration\": \"30 days\", \"engagement_activities\": [{\"type\": \"webinar_invitation\", \"title\": \"Technical Analysis Basics\", \"date\": \"2025-07-25\", \"priority\": \"HIGH\"}, {\"type\": \"market_insights\", \"title\": \"Weekly Market Commentary\", \"frequency\": \"Weekly\", \"priority\": \"MEDIUM\"}, {\"type\": \"product_demo\", \"title\": \"New Trading Platform Features\", \"date\": \"2025-07-31\", \"priority\": \"LOW\"}, {\"type\": \"portfolio_review\", \"title\": \"Quarterly Portfolio Health Check\", \"date\": \"2025-09-07\", \"priority\": \"MEDIUM\"}], \"content_recommendations\": [\"Technical Analysis Basics\", \"Stock Picking Strategies\", \"Portfolio Rebalancing\", \"SIP Benefits Masterclass\"], \"communication_schedule\": {\"week_1\": [\"Welcome to enhanced engagement program\", \"Personalized market insights\"], \"week_2\": [\"Webinar invitation\", \"Educational content delivery\"], \"week_3\": [\"Portfolio optimization tips\", \"New product announcements\"], \"week_4\": [\"Month-end review\", \"Satisfaction survey\"]}, \"success_metrics\": {\"target_engagement_increase\": \"25%\", \"webinar_attendance_goal\": \"2 sessions\", \"platform_usage_increase\": \"30%\", \"content_consumption_target\": \"5 pieces\"}, \"personalization_elements\": {\"preferred_communication_time\": \"10:00 AM - 12:00 PM\", \"content_format\": \"Video + PDF summary\", \"interaction_style\": \"Educational focus\"}, \"escalation_conditions\": [\"No engagement within 7 days\", \"Declined webinar invitations\", \"Reduced platform usage\"]}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.20485,
"end_time": "2025-07-17T08:41:55.216295",
"message_sent": true,
"start_time": "2025-07-17T08:41:54.011445",
"timestamp": "2025-07-17T08:41:55.216295",
"worker_executed": true,
"workers_notified": true
},
"output": "__OUTPUTS__ {\"campaign_timestamp\": \"2025-07-17T08:41:55.142677\", \"client_id\": \"C001\", \"campaign_type\": \"ENGAGEMENT_BOOST\", \"duration\": \"30 days\", \"engagement_activities\": [{\"type\": \"webinar_invitation\", \"title\": \"Technical Analysis Basics\", \"date\": \"2025-07-25\", \"priority\": \"HIGH\"}, {\"type\": \"market_insights\", \"title\": \"Weekly Market Commentary\", \"frequency\": \"Weekly\", \"priority\": \"MEDIUM\"}, {\"type\": \"product_demo\", \"title\": \"New Trading Platform Features\", \"date\": \"2025-07-31\", \"priority\": \"LOW\"}, {\"type\": \"portfolio_review\", \"title\": \"Quarterly Portfolio Health Check\", \"date\": \"2025-09-07\", \"priority\": \"MEDIUM\"}], \"content_recommendations\": [\"Technical Analysis Basics\", \"Stock Picking Strategies\", \"Portfolio Rebalancing\", \"SIP Benefits Masterclass\"], \"communication_schedule\": {\"week_1\": [\"Welcome to enhanced engagement program\", \"Personalized market insights\"], \"week_2\": [\"Webinar invitation\", \"Educational content delivery\"], \"week_3\": [\"Portfolio optimization tips\", \"New product announcements\"], \"week_4\": [\"Month-end review\", \"Satisfaction survey\"]}, \"success_metrics\": {\"target_engagement_increase\": \"25%\", \"webinar_attendance_goal\": \"2 sessions\", \"platform_usage_increase\": \"30%\", \"content_consumption_target\": \"5 pieces\"}, \"personalization_elements\": {\"preferred_communication_time\": \"10:00 AM - 12:00 PM\", \"content_format\": \"Video + PDF summary\", \"interaction_style\": \"Educational focus\"}, \"escalation_conditions\": [\"No engagement within 7 days\", \"Declined webinar invitations\", \"Reduced platform usage\"]}\n",
"personalization_elements": {
"content_format": "Video + PDF summary",
"interaction_style": "Educational focus",
"preferred_communication_time": "10:00 AM - 12:00 PM"
},
"return_code": 0,
"status": "completed",
"stderr": "",
"success_metrics": {
"content_consumption_target": "5 pieces",
"platform_usage_increase": "30%",
"target_engagement_increase": "25%",
"webinar_attendance_goal": "2 sessions"
},
"task_id": "create_engagement_campaign"
},
"generate_performance_metrics": {
"analytics_timestamp": "2025-07-17T08:44:57.738127",
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"metrics_generated\": true, \"performance_metrics\": {\"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"client_id\": \"123\", \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"execution_metrics\": {\"total_execution_time\": \"21 seconds\", \"tasks_completed\": 12, \"tasks_successful\": 12, \"success_rate\": 100.0, \"data_quality_score\": 0.91, \"ai_confidence_average\": 0.94}, \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"response_metrics\": {\"response_received\": false, \"response_positive\": false, \"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"retention_probability_improvement\": \"+17%\", \"engagement_score_improvement\": \"+24%\", \"cross_sell_opportunities_identified\": 2, \"client_satisfaction_impact\": \"+24%\"}, \"success_indicators\": {\"data_collection\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"tracking\": \"SUCCESS\"}, \"next_actions\": {\"follow_up_required\": false, \"escalation_needed\": false, \"next_review_date\": \"2025-08-16T08:44:57.738043\", \"recommended_action\": \"escalate\"}, \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"analytics_timestamp\": \"2025-07-17T08:44:57.738127\", \"report_confidence\": 0.94}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.217068,
"end_time": "2025-07-17T08:44:57.802462",
"message_sent": true,
"start_time": "2025-07-17T08:44:56.585394",
"timestamp": "2025-07-17T08:44:57.802462",
"worker_executed": true,
"workers_notified": true
},
"metrics_generated": true,
"output": "__OUTPUTS__ {\"metrics_generated\": true, \"performance_metrics\": {\"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"client_id\": \"123\", \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"execution_metrics\": {\"total_execution_time\": \"21 seconds\", \"tasks_completed\": 12, \"tasks_successful\": 12, \"success_rate\": 100.0, \"data_quality_score\": 0.91, \"ai_confidence_average\": 0.94}, \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"response_metrics\": {\"response_received\": false, \"response_positive\": false, \"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"retention_probability_improvement\": \"+17%\", \"engagement_score_improvement\": \"+24%\", \"cross_sell_opportunities_identified\": 2, \"client_satisfaction_impact\": \"+24%\"}, \"success_indicators\": {\"data_collection\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"tracking\": \"SUCCESS\"}, \"next_actions\": {\"follow_up_required\": false, \"escalation_needed\": false, \"next_review_date\": \"2025-08-16T08:44:57.738043\", \"recommended_action\": \"escalate\"}, \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"analytics_timestamp\": \"2025-07-17T08:44:57.738127\", \"report_confidence\": 0.94}\n",
"performance_metrics": {
"business_impact": {
"client_satisfaction_impact": "+24%",
"cross_sell_opportunities_identified": 2,
"engagement_score_improvement": "+24%",
"estimated_revenue_impact": "\u20b925668",
"retention_probability_improvement": "+17%"
},
"client_id": "123",
"execution_id": "a3bad0d1-36d3-4120-8125-f817ac76272c",
"execution_metrics": {
"ai_confidence_average": 0.94,
"data_quality_score": 0.91,
"success_rate": 100.0,
"tasks_completed": 12,
"tasks_successful": 12,
"total_execution_time": "21 seconds"
},
"improvement_recommendations": [
"Improve response time tracking accuracy",
"Enhance data collection frequency for better insights",
"Implement A/B testing for communication strategies"
],
"next_actions": {
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"follow_up_required": false,
"next_review_date": "2025-08-16T08:44:57.738043",
"recommended_action": "escalate"
},
"processing_timestamp": "2025-07-17T08:44:57.738017",
"response_metrics": {
"engagement_score": 0,
"response_positive": false,
"response_received": false,
"tracking_quality": {
"click_through_rate": 0.12,
"email_open_rate": 0.5,
"interaction_depth": "none",
"sentiment_score": 0.5,
"time_to_response": "No response"
}
},
"route_performance": {
"avg_response_time": "1.8 days",
"avg_success_rate": 0.48
},
"route_taken": "UNRESOLVED_risk_based_router.selected_route",
"success_indicators": {
"communication": "SUCCESS",
"data_collection": "SUCCESS",
"notifications": "SUCCESS",
"recommendations": "SUCCESS",
"risk_assessment": "SUCCESS",
"tracking": "SUCCESS"
},
"workflow_id": "UNRESOLVED_WORKFLOW_ID"
},
"report_confidence": 0.94,
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "generate_performance_metrics"
},
"prepare_campaign_execution": {
"error": "Unsupported task type: parallel",
"execution_details": {
"failed": true,
"message_sent": true,
"worker_executed": true,
"workers_notified": true
},
"output": "Task failed: Unsupported task type: parallel",
"status": "FAILED",
"task_id": "prepare_campaign_execution"
},
"risk_based_router": {
"all_conditions_checked": [
{
"condition": "${assess_client_risk.risk_level} == \u0027HIGH\u0027",
"name": "high_risk_client",
"result": false,
"route": "retention_path"
},
{
"condition": "${assess_client_risk.risk_level} == \u0027MEDIUM\u0027",
"name": "medium_risk_client",
"result": true,
"route": "engagement_path"
}
],
"duration_seconds": 0.000936,
"ended_at": "2025-07-17T08:41:53.888912",
"evaluation_details": {
"condition_index": 1,
"matched_condition": {
"condition": "${assess_client_risk.risk_level} == \u0027MEDIUM\u0027",
"name": "medium_risk_client",
"result": true,
"route": "engagement_path"
}
},
"execution_details": {
"actual_result": {
"output": "Route selected: engagement_path\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"engagement_path\", \"route_reason\": \"condition_matched: medium_risk_client\", \"evaluation_details\": {\"matched_condition\": {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}, \"condition_index\": 1}, \"all_conditions_checked\": [{\"name\": \"high_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027HIGH\u0027\", \"result\": false, \"route\": \"retention_path\"}, {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}], \"duration_seconds\": 0.000936, \"started_at\": \"2025-07-17T08:41:53.887976\", \"ended_at\": \"2025-07-17T08:41:53.888912\"}",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 0.159103,
"end_time": "2025-07-17T08:41:53.947742",
"message_sent": true,
"start_time": "2025-07-17T08:41:53.788639",
"timestamp": "2025-07-17T08:41:53.947742",
"worker_executed": true,
"workers_notified": true
},
"output": "Route selected: engagement_path\n__OUTPUTS__ {\"router_type\": \"condition\", \"selected_route\": \"engagement_path\", \"route_reason\": \"condition_matched: medium_risk_client\", \"evaluation_details\": {\"matched_condition\": {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}, \"condition_index\": 1}, \"all_conditions_checked\": [{\"name\": \"high_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027HIGH\u0027\", \"result\": false, \"route\": \"retention_path\"}, {\"name\": \"medium_risk_client\", \"condition\": \"${assess_client_risk.risk_level} == \u0027MEDIUM\u0027\", \"result\": true, \"route\": \"engagement_path\"}], \"duration_seconds\": 0.000936, \"started_at\": \"2025-07-17T08:41:53.887976\", \"ended_at\": \"2025-07-17T08:41:53.888912\"}",
"return_code": 0,
"route_reason": "condition_matched: medium_risk_client",
"router_type": "condition",
"selected_route": "engagement_path",
"started_at": "2025-07-17T08:41:53.887976",
"status": "completed",
"stderr": "",
"task_id": "risk_based_router"
},
"simulate_response_tracking": {
"analysis_timestamp": "2025-07-17T08:44:56.480718",
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"response_tracked\": true, \"response_data\": {\"client_id\": \"123\", \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"has_response\": false, \"is_positive\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_channel\": null, \"response_type\": null, \"response_time_minutes\": null, \"engagement_score\": 0, \"follow_up_required\": false, \"next_action\": \"escalate\"}, \"tracking_metrics\": {\"email_open_rate\": 0.5, \"click_through_rate\": 0.12, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"sentiment_score\": 0.5}, \"analysis_timestamp\": \"2025-07-17T08:44:56.480718\", \"recommendation\": \"Retry with different approach\"}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.201776,
"end_time": "2025-07-17T08:44:56.551208",
"message_sent": true,
"start_time": "2025-07-17T08:44:55.349432",
"timestamp": "2025-07-17T08:44:56.551208",
"worker_executed": true,
"workers_notified": true
},
"output": "__OUTPUTS__ {\"response_tracked\": true, \"response_data\": {\"client_id\": \"123\", \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"has_response\": false, \"is_positive\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_channel\": null, \"response_type\": null, \"response_time_minutes\": null, \"engagement_score\": 0, \"follow_up_required\": false, \"next_action\": \"escalate\"}, \"tracking_metrics\": {\"email_open_rate\": 0.5, \"click_through_rate\": 0.12, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"sentiment_score\": 0.5}, \"analysis_timestamp\": \"2025-07-17T08:44:56.480718\", \"recommendation\": \"Retry with different approach\"}\n",
"recommendation": "Retry with different approach",
"response_data": {
"campaign_route": "UNRESOLVED_risk_based_router.selected_route",
"client_id": "123",
"engagement_score": 0,
"follow_up_required": false,
"has_response": false,
"is_positive": false,
"next_action": "escalate",
"response_channel": null,
"response_time_minutes": null,
"response_timestamp": "2025-07-17T08:44:56.480649",
"response_type": null
},
"response_tracked": true,
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "simulate_response_tracking",
"tracking_metrics": {
"click_through_rate": 0.12,
"email_open_rate": 0.5,
"interaction_depth": "none",
"sentiment_score": 0.5,
"time_to_response": "No response"
}
},
"update_learning_model": {
"algorithm_updates": {
"model_performance": {
"f1_score": "83.7%",
"overall_accuracy": "91.2%",
"precision": "85.5%",
"recall": "84.2%"
},
"new_features": [
"Dynamic risk scoring",
"Behavioral pattern recognition",
"Predictive engagement scoring",
"Optimal timing recommendations"
],
"updated_algorithms": [
"risk_assessment_model_v2.1",
"client_segmentation_v1.8",
"recommendation_engine_v3.2",
"response_prediction_v1.5"
]
},
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"learning_completed\": true, \"learning_data\": {\"client_segment\": \"MF_INVESTOR\", \"risk_level\": \"MEDIUM\", \"actions_taken\": \"engagement_path\", \"response_outcome\": {\"client_id\": \"123\", \"is_positive\": false, \"next_action\": \"escalate\", \"has_response\": false, \"response_type\": null, \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"engagement_score\": 0, \"response_channel\": null, \"follow_up_required\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_time_minutes\": null}, \"success_metrics\": {\"client_id\": \"123\", \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"next_actions\": {\"next_review_date\": \"2025-08-16T08:44:57.738043\", \"escalation_needed\": false, \"follow_up_required\": false, \"recommended_action\": \"escalate\"}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"client_satisfaction_impact\": \"+24%\", \"engagement_score_improvement\": \"+24%\", \"retention_probability_improvement\": \"+17%\", \"cross_sell_opportunities_identified\": 2}, \"response_metrics\": {\"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}, \"response_positive\": false, \"response_received\": false}, \"execution_metrics\": {\"success_rate\": 100.0, \"tasks_completed\": 12, \"tasks_successful\": 12, \"data_quality_score\": 0.91, \"total_execution_time\": \"21 seconds\", \"ai_confidence_average\": 0.94}, \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"success_indicators\": {\"tracking\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"data_collection\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\"}, \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"client_characteristics\": {\"aum\": 850000, \"age\": 45, \"risk_profile\": \"MODERATE\", \"engagement_level\": \"{\u0027score\u0027: 0.33, \u0027rating\u0027: \u0027Low\u0027}\"}, \"learning_timestamp\": \"2025-07-17T08:44:59.051671\"}, \"model_insights\": {\"patterns_identified\": [\"High AUM clients (850000+) show 24% better response to retention offers\", \"Clients in Mumbai prefer phone communication\", \"MODERATE risk profile clients respond best to educational content\"], \"accuracy_improvements\": {\"risk_assessment_model\": \"+2.3%\", \"segmentation_model\": \"+2.1%\", \"recommendation_engine\": \"+3.5%\", \"response_prediction\": \"+3.1%\"}, \"recommendations_refined\": [\"Adjust risk thresholds for better sensitivity\", \"Enhance personalization algorithms\", \"Improve timing prediction models\", \"Optimize communication channel selection\"]}, \"algorithm_updates\": {\"updated_algorithms\": [\"risk_assessment_model_v2.1\", \"client_segmentation_v1.8\", \"recommendation_engine_v3.2\", \"response_prediction_v1.5\"], \"new_features\": [\"Dynamic risk scoring\", \"Behavioral pattern recognition\", \"Predictive engagement scoring\", \"Optimal timing recommendations\"], \"model_performance\": {\"overall_accuracy\": \"91.2%\", \"precision\": \"85.5%\", \"recall\": \"84.2%\", \"f1_score\": \"83.7%\"}}, \"optimization_plans\": {\"next_optimization_cycle\": \"2025-07-24T08:44:59.051806\", \"focus_areas\": [\"Improve low-engagement client predictions\", \"Enhance cross-selling opportunity identification\", \"Optimize communication timing\", \"Refine retention strategy effectiveness\"], \"data_requirements\": [\"More historical response data\", \"Enhanced behavioral tracking\", \"Market condition correlations\", \"Competitor analysis integration\"]}, \"learning_timestamp\": \"2025-07-17T08:44:59.051829\", \"learning_confidence\": 0.94}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.198756,
"end_time": "2025-07-17T08:44:59.120951",
"message_sent": true,
"start_time": "2025-07-17T08:44:57.922195",
"timestamp": "2025-07-17T08:44:59.120951",
"worker_executed": true,
"workers_notified": true
},
"learning_completed": true,
"learning_confidence": 0.94,
"learning_data": {
"actions_taken": "engagement_path",
"client_characteristics": {
"age": 45,
"aum": 850000,
"engagement_level": "{\u0027score\u0027: 0.33, \u0027rating\u0027: \u0027Low\u0027}",
"risk_profile": "MODERATE"
},
"client_segment": "MF_INVESTOR",
"learning_timestamp": "2025-07-17T08:44:59.051671",
"response_outcome": {
"campaign_route": "UNRESOLVED_risk_based_router.selected_route",
"client_id": "123",
"engagement_score": 0,
"follow_up_required": false,
"has_response": false,
"is_positive": false,
"next_action": "escalate",
"response_channel": null,
"response_time_minutes": null,
"response_timestamp": "2025-07-17T08:44:56.480649",
"response_type": null
},
"risk_level": "MEDIUM",
"success_metrics": {
"business_impact": {
"client_satisfaction_impact": "+24%",
"cross_sell_opportunities_identified": 2,
"engagement_score_improvement": "+24%",
"estimated_revenue_impact": "\u20b925668",
"retention_probability_improvement": "+17%"
},
"client_id": "123",
"execution_id": "a3bad0d1-36d3-4120-8125-f817ac76272c",
"execution_metrics": {
"ai_confidence_average": 0.94,
"data_quality_score": 0.91,
"success_rate": 100.0,
"tasks_completed": 12,
"tasks_successful": 12,
"total_execution_time": "21 seconds"
},
"improvement_recommendations": [
"Improve response time tracking accuracy",
"Enhance data collection frequency for better insights",
"Implement A/B testing for communication strategies"
],
"next_actions": {
"escalation_needed": false,
"follow_up_required": false,
"next_review_date": "2025-08-16T08:44:57.738043",
"recommended_action": "escalate"
},
"processing_timestamp": "2025-07-17T08:44:57.738017",
"response_metrics": {
"engagement_score": 0,
"response_positive": false,
"response_received": false,
"tracking_quality": {
"click_through_rate": 0.12,
"email_open_rate": 0.5,
"interaction_depth": "none",
"sentiment_score": 0.5,
"time_to_response": "No response"
}
},
"route_performance": {
"avg_response_time": "1.8 days",
"avg_success_rate": 0.48
},
"route_taken": "UNRESOLVED_risk_based_router.selected_route",
"success_indicators": {
"communication": "SUCCESS",
"data_collection": "SUCCESS",
"notifications": "SUCCESS",
"recommendations": "SUCCESS",
"risk_assessment": "SUCCESS",
"tracking": "SUCCESS"
},
"workflow_id": "UNRESOLVED_WORKFLOW_ID"
}
},
"learning_timestamp": "2025-07-17T08:44:59.051829",
"model_insights": {
"accuracy_improvements": {
"recommendation_engine": "+3.5%",
"response_prediction": "+3.1%",
"risk_assessment_model": "+2.3%",
"segmentation_model": "+2.1%"
},
"patterns_identified": [
"High AUM clients (850000+) show 24% better response to retention offers",
"Clients in Mumbai prefer phone communication",
"MODERATE risk profile clients respond best to educational content"
],
"recommendations_refined": [
"Adjust risk thresholds for better sensitivity",
"Enhance personalization algorithms",
"Improve timing prediction models",
"Optimize communication channel selection"
]
},
"optimization_plans": {
"data_requirements": [
"More historical response data",
"Enhanced behavioral tracking",
"Market condition correlations",
"Competitor analysis integration"
],
"focus_areas": [
"Improve low-engagement client predictions",
"Enhance cross-selling opportunity identification",
"Optimize communication timing",
"Refine retention strategy effectiveness"
],
"next_optimization_cycle": "2025-07-24T08:44:59.051806"
},
"output": "__OUTPUTS__ {\"learning_completed\": true, \"learning_data\": {\"client_segment\": \"MF_INVESTOR\", \"risk_level\": \"MEDIUM\", \"actions_taken\": \"engagement_path\", \"response_outcome\": {\"client_id\": \"123\", \"is_positive\": false, \"next_action\": \"escalate\", \"has_response\": false, \"response_type\": null, \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"engagement_score\": 0, \"response_channel\": null, \"follow_up_required\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_time_minutes\": null}, \"success_metrics\": {\"client_id\": \"123\", \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"next_actions\": {\"next_review_date\": \"2025-08-16T08:44:57.738043\", \"escalation_needed\": false, \"follow_up_required\": false, \"recommended_action\": \"escalate\"}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"client_satisfaction_impact\": \"+24%\", \"engagement_score_improvement\": \"+24%\", \"retention_probability_improvement\": \"+17%\", \"cross_sell_opportunities_identified\": 2}, \"response_metrics\": {\"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}, \"response_positive\": false, \"response_received\": false}, \"execution_metrics\": {\"success_rate\": 100.0, \"tasks_completed\": 12, \"tasks_successful\": 12, \"data_quality_score\": 0.91, \"total_execution_time\": \"21 seconds\", \"ai_confidence_average\": 0.94}, \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"success_indicators\": {\"tracking\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"data_collection\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\"}, \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"client_characteristics\": {\"aum\": 850000, \"age\": 45, \"risk_profile\": \"MODERATE\", \"engagement_level\": \"{\u0027score\u0027: 0.33, \u0027rating\u0027: \u0027Low\u0027}\"}, \"learning_timestamp\": \"2025-07-17T08:44:59.051671\"}, \"model_insights\": {\"patterns_identified\": [\"High AUM clients (850000+) show 24% better response to retention offers\", \"Clients in Mumbai prefer phone communication\", \"MODERATE risk profile clients respond best to educational content\"], \"accuracy_improvements\": {\"risk_assessment_model\": \"+2.3%\", \"segmentation_model\": \"+2.1%\", \"recommendation_engine\": \"+3.5%\", \"response_prediction\": \"+3.1%\"}, \"recommendations_refined\": [\"Adjust risk thresholds for better sensitivity\", \"Enhance personalization algorithms\", \"Improve timing prediction models\", \"Optimize communication channel selection\"]}, \"algorithm_updates\": {\"updated_algorithms\": [\"risk_assessment_model_v2.1\", \"client_segmentation_v1.8\", \"recommendation_engine_v3.2\", \"response_prediction_v1.5\"], \"new_features\": [\"Dynamic risk scoring\", \"Behavioral pattern recognition\", \"Predictive engagement scoring\", \"Optimal timing recommendations\"], \"model_performance\": {\"overall_accuracy\": \"91.2%\", \"precision\": \"85.5%\", \"recall\": \"84.2%\", \"f1_score\": \"83.7%\"}}, \"optimization_plans\": {\"next_optimization_cycle\": \"2025-07-24T08:44:59.051806\", \"focus_areas\": [\"Improve low-engagement client predictions\", \"Enhance cross-selling opportunity identification\", \"Optimize communication timing\", \"Refine retention strategy effectiveness\"], \"data_requirements\": [\"More historical response data\", \"Enhanced behavioral tracking\", \"Market condition correlations\", \"Competitor analysis integration\"]}, \"learning_timestamp\": \"2025-07-17T08:44:59.051829\", \"learning_confidence\": 0.94}\n",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "update_learning_model"
}
},
"update_learning_model": {
"algorithm_updates": {
"model_performance": {
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"overall_accuracy": "91.2%",
"precision": "85.5%",
"recall": "84.2%"
},
"new_features": [
"Dynamic risk scoring",
"Behavioral pattern recognition",
"Predictive engagement scoring",
"Optimal timing recommendations"
],
"updated_algorithms": [
"risk_assessment_model_v2.1",
"client_segmentation_v1.8",
"recommendation_engine_v3.2",
"response_prediction_v1.5"
]
},
"execution_details": {
"actual_result": {
"output": "__OUTPUTS__ {\"learning_completed\": true, \"learning_data\": {\"client_segment\": \"MF_INVESTOR\", \"risk_level\": \"MEDIUM\", \"actions_taken\": \"engagement_path\", \"response_outcome\": {\"client_id\": \"123\", \"is_positive\": false, \"next_action\": \"escalate\", \"has_response\": false, \"response_type\": null, \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"engagement_score\": 0, \"response_channel\": null, \"follow_up_required\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_time_minutes\": null}, \"success_metrics\": {\"client_id\": \"123\", \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"next_actions\": {\"next_review_date\": \"2025-08-16T08:44:57.738043\", \"escalation_needed\": false, \"follow_up_required\": false, \"recommended_action\": \"escalate\"}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"client_satisfaction_impact\": \"+24%\", \"engagement_score_improvement\": \"+24%\", \"retention_probability_improvement\": \"+17%\", \"cross_sell_opportunities_identified\": 2}, \"response_metrics\": {\"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}, \"response_positive\": false, \"response_received\": false}, \"execution_metrics\": {\"success_rate\": 100.0, \"tasks_completed\": 12, \"tasks_successful\": 12, \"data_quality_score\": 0.91, \"total_execution_time\": \"21 seconds\", \"ai_confidence_average\": 0.94}, \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"success_indicators\": {\"tracking\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"data_collection\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\"}, \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"client_characteristics\": {\"aum\": 850000, \"age\": 45, \"risk_profile\": \"MODERATE\", \"engagement_level\": \"{\u0027score\u0027: 0.33, \u0027rating\u0027: \u0027Low\u0027}\"}, \"learning_timestamp\": \"2025-07-17T08:44:59.051671\"}, \"model_insights\": {\"patterns_identified\": [\"High AUM clients (850000+) show 24% better response to retention offers\", \"Clients in Mumbai prefer phone communication\", \"MODERATE risk profile clients respond best to educational content\"], \"accuracy_improvements\": {\"risk_assessment_model\": \"+2.3%\", \"segmentation_model\": \"+2.1%\", \"recommendation_engine\": \"+3.5%\", \"response_prediction\": \"+3.1%\"}, \"recommendations_refined\": [\"Adjust risk thresholds for better sensitivity\", \"Enhance personalization algorithms\", \"Improve timing prediction models\", \"Optimize communication channel selection\"]}, \"algorithm_updates\": {\"updated_algorithms\": [\"risk_assessment_model_v2.1\", \"client_segmentation_v1.8\", \"recommendation_engine_v3.2\", \"response_prediction_v1.5\"], \"new_features\": [\"Dynamic risk scoring\", \"Behavioral pattern recognition\", \"Predictive engagement scoring\", \"Optimal timing recommendations\"], \"model_performance\": {\"overall_accuracy\": \"91.2%\", \"precision\": \"85.5%\", \"recall\": \"84.2%\", \"f1_score\": \"83.7%\"}}, \"optimization_plans\": {\"next_optimization_cycle\": \"2025-07-24T08:44:59.051806\", \"focus_areas\": [\"Improve low-engagement client predictions\", \"Enhance cross-selling opportunity identification\", \"Optimize communication timing\", \"Refine retention strategy effectiveness\"], \"data_requirements\": [\"More historical response data\", \"Enhanced behavioral tracking\", \"Market condition correlations\", \"Competitor analysis integration\"]}, \"learning_timestamp\": \"2025-07-17T08:44:59.051829\", \"learning_confidence\": 0.94}\n",
"return_code": 0,
"status": "completed",
"stderr": ""
},
"duration_seconds": 1.198756,
"end_time": "2025-07-17T08:44:59.120951",
"message_sent": true,
"start_time": "2025-07-17T08:44:57.922195",
"timestamp": "2025-07-17T08:44:59.120951",
"worker_executed": true,
"workers_notified": true
},
"learning_completed": true,
"learning_confidence": 0.94,
"learning_data": {
"actions_taken": "engagement_path",
"client_characteristics": {
"age": 45,
"aum": 850000,
"engagement_level": "{\u0027score\u0027: 0.33, \u0027rating\u0027: \u0027Low\u0027}",
"risk_profile": "MODERATE"
},
"client_segment": "MF_INVESTOR",
"learning_timestamp": "2025-07-17T08:44:59.051671",
"response_outcome": {
"campaign_route": "UNRESOLVED_risk_based_router.selected_route",
"client_id": "123",
"engagement_score": 0,
"follow_up_required": false,
"has_response": false,
"is_positive": false,
"next_action": "escalate",
"response_channel": null,
"response_time_minutes": null,
"response_timestamp": "2025-07-17T08:44:56.480649",
"response_type": null
},
"risk_level": "MEDIUM",
"success_metrics": {
"business_impact": {
"client_satisfaction_impact": "+24%",
"cross_sell_opportunities_identified": 2,
"engagement_score_improvement": "+24%",
"estimated_revenue_impact": "\u20b925668",
"retention_probability_improvement": "+17%"
},
"client_id": "123",
"execution_id": "a3bad0d1-36d3-4120-8125-f817ac76272c",
"execution_metrics": {
"ai_confidence_average": 0.94,
"data_quality_score": 0.91,
"success_rate": 100.0,
"tasks_completed": 12,
"tasks_successful": 12,
"total_execution_time": "21 seconds"
},
"improvement_recommendations": [
"Improve response time tracking accuracy",
"Enhance data collection frequency for better insights",
"Implement A/B testing for communication strategies"
],
"next_actions": {
"escalation_needed": false,
"follow_up_required": false,
"next_review_date": "2025-08-16T08:44:57.738043",
"recommended_action": "escalate"
},
"processing_timestamp": "2025-07-17T08:44:57.738017",
"response_metrics": {
"engagement_score": 0,
"response_positive": false,
"response_received": false,
"tracking_quality": {
"click_through_rate": 0.12,
"email_open_rate": 0.5,
"interaction_depth": "none",
"sentiment_score": 0.5,
"time_to_response": "No response"
}
},
"route_performance": {
"avg_response_time": "1.8 days",
"avg_success_rate": 0.48
},
"route_taken": "UNRESOLVED_risk_based_router.selected_route",
"success_indicators": {
"communication": "SUCCESS",
"data_collection": "SUCCESS",
"notifications": "SUCCESS",
"recommendations": "SUCCESS",
"risk_assessment": "SUCCESS",
"tracking": "SUCCESS"
},
"workflow_id": "UNRESOLVED_WORKFLOW_ID"
}
},
"learning_timestamp": "2025-07-17T08:44:59.051829",
"model_insights": {
"accuracy_improvements": {
"recommendation_engine": "+3.5%",
"response_prediction": "+3.1%",
"risk_assessment_model": "+2.3%",
"segmentation_model": "+2.1%"
},
"patterns_identified": [
"High AUM clients (850000+) show 24% better response to retention offers",
"Clients in Mumbai prefer phone communication",
"MODERATE risk profile clients respond best to educational content"
],
"recommendations_refined": [
"Adjust risk thresholds for better sensitivity",
"Enhance personalization algorithms",
"Improve timing prediction models",
"Optimize communication channel selection"
]
},
"optimization_plans": {
"data_requirements": [
"More historical response data",
"Enhanced behavioral tracking",
"Market condition correlations",
"Competitor analysis integration"
],
"focus_areas": [
"Improve low-engagement client predictions",
"Enhance cross-selling opportunity identification",
"Optimize communication timing",
"Refine retention strategy effectiveness"
],
"next_optimization_cycle": "2025-07-24T08:44:59.051806"
},
"output": "__OUTPUTS__ {\"learning_completed\": true, \"learning_data\": {\"client_segment\": \"MF_INVESTOR\", \"risk_level\": \"MEDIUM\", \"actions_taken\": \"engagement_path\", \"response_outcome\": {\"client_id\": \"123\", \"is_positive\": false, \"next_action\": \"escalate\", \"has_response\": false, \"response_type\": null, \"campaign_route\": \"UNRESOLVED_risk_based_router.selected_route\", \"engagement_score\": 0, \"response_channel\": null, \"follow_up_required\": false, \"response_timestamp\": \"2025-07-17T08:44:56.480649\", \"response_time_minutes\": null}, \"success_metrics\": {\"client_id\": \"123\", \"route_taken\": \"UNRESOLVED_risk_based_router.selected_route\", \"workflow_id\": \"UNRESOLVED_WORKFLOW_ID\", \"execution_id\": \"a3bad0d1-36d3-4120-8125-f817ac76272c\", \"next_actions\": {\"next_review_date\": \"2025-08-16T08:44:57.738043\", \"escalation_needed\": false, \"follow_up_required\": false, \"recommended_action\": \"escalate\"}, \"business_impact\": {\"estimated_revenue_impact\": \"\\u20b925668\", \"client_satisfaction_impact\": \"+24%\", \"engagement_score_improvement\": \"+24%\", \"retention_probability_improvement\": \"+17%\", \"cross_sell_opportunities_identified\": 2}, \"response_metrics\": {\"engagement_score\": 0, \"tracking_quality\": {\"email_open_rate\": 0.5, \"sentiment_score\": 0.5, \"time_to_response\": \"No response\", \"interaction_depth\": \"none\", \"click_through_rate\": 0.12}, \"response_positive\": false, \"response_received\": false}, \"execution_metrics\": {\"success_rate\": 100.0, \"tasks_completed\": 12, \"tasks_successful\": 12, \"data_quality_score\": 0.91, \"total_execution_time\": \"21 seconds\", \"ai_confidence_average\": 0.94}, \"route_performance\": {\"avg_success_rate\": 0.48, \"avg_response_time\": \"1.8 days\"}, \"success_indicators\": {\"tracking\": \"SUCCESS\", \"communication\": \"SUCCESS\", \"notifications\": \"SUCCESS\", \"data_collection\": \"SUCCESS\", \"recommendations\": \"SUCCESS\", \"risk_assessment\": \"SUCCESS\"}, \"processing_timestamp\": \"2025-07-17T08:44:57.738017\", \"improvement_recommendations\": [\"Improve response time tracking accuracy\", \"Enhance data collection frequency for better insights\", \"Implement A/B testing for communication strategies\"]}, \"client_characteristics\": {\"aum\": 850000, \"age\": 45, \"risk_profile\": \"MODERATE\", \"engagement_level\": \"{\u0027score\u0027: 0.33, \u0027rating\u0027: \u0027Low\u0027}\"}, \"learning_timestamp\": \"2025-07-17T08:44:59.051671\"}, \"model_insights\": {\"patterns_identified\": [\"High AUM clients (850000+) show 24% better response to retention offers\", \"Clients in Mumbai prefer phone communication\", \"MODERATE risk profile clients respond best to educational content\"], \"accuracy_improvements\": {\"risk_assessment_model\": \"+2.3%\", \"segmentation_model\": \"+2.1%\", \"recommendation_engine\": \"+3.5%\", \"response_prediction\": \"+3.1%\"}, \"recommendations_refined\": [\"Adjust risk thresholds for better sensitivity\", \"Enhance personalization algorithms\", \"Improve timing prediction models\", \"Optimize communication channel selection\"]}, \"algorithm_updates\": {\"updated_algorithms\": [\"risk_assessment_model_v2.1\", \"client_segmentation_v1.8\", \"recommendation_engine_v3.2\", \"response_prediction_v1.5\"], \"new_features\": [\"Dynamic risk scoring\", \"Behavioral pattern recognition\", \"Predictive engagement scoring\", \"Optimal timing recommendations\"], \"model_performance\": {\"overall_accuracy\": \"91.2%\", \"precision\": \"85.5%\", \"recall\": \"84.2%\", \"f1_score\": \"83.7%\"}}, \"optimization_plans\": {\"next_optimization_cycle\": \"2025-07-24T08:44:59.051806\", \"focus_areas\": [\"Improve low-engagement client predictions\", \"Enhance cross-selling opportunity identification\", \"Optimize communication timing\", \"Refine retention strategy effectiveness\"], \"data_requirements\": [\"More historical response data\", \"Enhanced behavioral tracking\", \"Market condition correlations\", \"Competitor analysis integration\"]}, \"learning_timestamp\": \"2025-07-17T08:44:59.051829\", \"learning_confidence\": 0.94}\n",
"return_code": 0,
"status": "completed",
"stderr": "",
"task_id": "update_learning_model"
}
}