Scott Campit
Operations & Optimizations

Logistics & Supply Chain

Optimizing freight movement with data science

Supply chain operations generate vast amounts of data across shipments, routes, and demand cycles — but most logistics teams lack the analytical tools to turn that data into better routing decisions, accurate demand forecasts, or real-time operational visibility.

We built analytical systems covering route optimization, demand forecasting, and operational dashboards — giving logistics teams the visibility and decision-support tools they need to move freight more efficiently.

  1. Network analysis and route optimization using graph-based algorithms

  2. Time-series demand forecasting for proactive capacity planning

  3. Freight analytics dashboards for real-time operational visibility

  4. Statistical analysis of shipping patterns across geographies and carriers

  • Route Optimization
  • Time-Series
  • Network Analysis
  • Dashboards
  • Operations Research
Freight Analytics Dashboard
Freight Analytics Dashboard
Network Analysis
Network Analysis
Time Series Analysis
Time Series Analysis
Weight Distribution by State
Weight Distribution by State

Thinking about a similar problem?

I’d enjoy comparing notes. Tell me what you’re working on.

Email me scottcampit@gmail.com