Multi-Agent Customer Retention & Service Intelligence Platform

Core Logic

The Mission Commander serves as the supervisor agent with capabilities for task_delegation, progress_monitoring, conflict_resolution, final_approval, autonomous_decision, and adaptive_learning. It coordinates all specialist agents, manages the workflow through 7 execution phases, handles task delegation and progress monitoring, performs conflict resolution when agents have differing recommendations, provides final approval authority, and enables autonomous decision-making for high-confidence scenarios.

Core Logic

Analyzes customer data with capabilities for churn_prediction, clv_calculation, segmentation, behavior_analysis, sentiment_analysis, and journey_mapping using tools including DMS Customer API, Service History Query, Churn Prediction Model (XGBoost), and CLV Calculator. Uses XGBoost models with features including recency, frequency, monetary value, satisfaction scores, and tenure. Calculates probabilistic CLV, performs customer segmentation, conducts sentiment analysis, and maps customer journeys to identify intervention opportunities.

Core Logic

Analyzes service capacity with capabilities for service_recommendation, schedule_optimization, resource_allocation, pricing, and technician_matching using Schedule Optimizer (FFD) and Service Pricing Engine tools. Uses First Fit Decreasing scheduling algorithms, calculates current utilization and available appointment slots, identifies peak availability windows, and determines optimal retention pricing using elasticity-based models that maintain target margins while maximizing conversion probability.

Core Logic

Develops tiered retention strategies with capabilities for retention_planning, campaign_design, offer_optimization, channel_selection, and ab_testing using Campaign Optimizer and Offer Generation Engine tools. Tier 1 (Critical risk, High CLV) receives personal calls and VIP offers, Tier 2 (High risk, Medium CLV) receives SMS and targeted discounts, Tier 3 (Medium risk) enters automated email sequences. Uses ML-based campaign optimization to maximize retention ROI within budget constraints.

Core Logic

Generates demand forecasts with capabilities for demand_forecasting, inventory_optimization, reorder_planning, supplier_analysis, and supply_chain_risk using Demand Forecaster (Holt-Winters) and Inventory Management System tools. Uses Holt-Winters triple exponential smoothing with seasonal adjustment, identifies items below reorder point, flags critical items requiring expedited ordering, calculates optimal safety stock levels, and assesses supply chain risks.

Core Logic

Validates all recommendations with capabilities for recommendation_validation, compliance_check, data_quality, risk_assessment, and audit_trail using Data Quality Validator and Compliance Engine tools. Checks against quality thresholds covering completeness, accuracy, consistency, and timeliness. Performs pre-campaign compliance checks against relevant regulations, adjusts offers for margin compliance, generates overall confidence scores, and maintains detailed audit trails.

Core Logic

Analyzes EV market trends with capabilities for ev_market_analysis, customer_ev_readiness, charging_infrastructure, ev_inventory_planning, and transition_roadmap using EV Market Intelligence tools. Uses ML models to score customer EV readiness based on driving patterns and preferences, assesses local charging infrastructure density, develops EV inventory planning strategies, and creates transition roadmaps for service department capabilities including technician training needs.

Core Logic

Uses LSTM neural networks with capabilities for failure_prediction, warranty_analysis, recall_management, proactive_service, and parts_lifecycle using Vehicle Health Predictor tools. Trained on mileage, service history, driving patterns, and vehicle age to predict upcoming maintenance needs. Forecasts warranty claims, manages recall status, generates proactive service recommendations, and predicts parts demand based on predicted maintenance activities.

Core Logic

Designs personalized customer journeys with capabilities for journey_orchestration, touchpoint_optimization, personalization, nps_prediction, and loyalty_management using Journey Orchestration Engine tools. Uses ML-based orchestration across all channels, optimizes touchpoint interactions, implements personalization engines, predicts NPS trends, manages loyalty tier progressions, and generates segment-specific journey maps with conversion rate projections.