Logistics · Agentforce

Logistics & Fleet Intelligence Platform

Engineered a 14-object semantic data model to unify telemetry, weather risk, and financial records into a single source of truth, ensuring data fitness for natural-language AI queries. Developed and integrated an Agentforce layer to automate identification of dwell-time delays, using profiled and cleansed telemetry for accurate root-cause analysis.

AgentforceSemantic Data ModelTelemetryFleet Analytics
Walkthrough
Executive Command Center
Executive Command Center
Executive Command Center
Logistics Visibility
Shop Operations
Financial Performance
Case Study
Live Telemetry

Dwell-Time Delays

Fleet and asset telemetry modeled into one AI-ready layer, with active dwell-time delay detection.

  • Live-telemetry asset monitoring adapted from plant-floor uptime logic.
  • Replaces manual logs with continuous telemetry monitoring.
Agentic AI

Real-Time Action

Delays surface the exact moment they occur, transforming operational response workflows.

  • Instantly surfaces disruptions as they happen rather than waiting for next-day reports.
  • Provides a direct, production-ready use case of autonomous AI running in live fleet operations.
Featured on LinkedIn

The dashboard is the surface. The decisions run deeper.

Ask me about the data model, the tradeoffs, or what broke along the way. That is usually the interesting part.

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