AI-Powered Logistics Intelligence & Command System (LICS)
Human-in-the-loop logistics decision intelligence system assessing pre-dispatch shipment risk using Decision Tree Classifier and real-time Weather API integration.
Problem and Solution Breakdown
🎯 The Engineering Problem
Supply chain operators face costly in-transit delivery delays and cargo damage due to unforeseen severe weather conditions and unvetted route bottlenecks prior to dispatch.
💡 Architecture Solution
Constructed a pre-dispatch risk assessment control tower combining Decision Tree machine learning classifiers with live WeatherAPI telemetry and multi-constraint route validation.
System Architecture & Data Pipeline
Human-in-the-Loop Pre-Dispatch Risk Evaluation Control Tower
Shipment & Route Data
Multi-constraint feasibility check
Live WeatherAPI
Fetch route weather risk metrics
Decision Tree Engine
Multi-factor delivery risk scoring
Control Tower Dashboard
Manager override logging & audit trail
Key Features & Measured Impact
- ✦Human-in-the-loop operational control tower evaluating delivery risk before dispatch.
- ✦Features 3 role-based views (Seller, Manager, Supervisor) with override tracking and audit logging.
- ✦Combines Decision Tree ML model, WeatherAPI live data, and operational constraints.
📊 Measured Outcome:
Enabled operational managers to identify high-risk delivery dispatches with multi-role governance (Seller, Manager, Supervisor) and audit trails.
🛠️Technologies & Frameworks
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