AI/ML
Fleet CRM Chatbot with Driver Anomaly Detection
Logistics & Fleet Management
LLM-driven task assignment
Automation
Multi-model agents
Architecture
The Challenge
The fleet operator needed to surface driver anomalies buried in CRM data and automatically route the right follow-up tasks to the right teams.
The Approach
- Built multi-model LangGraph agents to analyze fleet CRM data and flag driver anomalies.
- Automated task assignment based on LLM reasoning over detected anomalies.
Results
- Reduced manual triage by automating anomaly detection and task routing.
- Delivered a reusable agent framework extended to research mind-map generation for the same client.
Tech Stack
LangGraphLLM AgentsCRM Integration
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