What I Solve Methodology Tools Work About Schedule a Call
Transportation & Supply Chain Optimization

Connor
Godoy

I help distribution and logistics operations improve routing efficiency, reduce transportation costs, and evaluate operational tradeoffs using optimization and scenario modeling.

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Connor Godoy
What I Solve

Tailored solutions for real operational problems

Every logistics operation is different. I listen first, then build solutions around your specific constraints, priorities, and goals.

01

Route Efficiency

Reduce unnecessary miles, improve fleet utilization, and build feasible delivery routes around real operational constraints.

02

Delivery Scheduling

Evaluate delivery schedules, customer service policies, and routing structures to improve operational efficiency.

03

Scenario Modeling

Analyze operational tradeoffs before making network decisions.

  • Delivery frequency changes
  • Territory restructuring
  • Fleet sizing
  • Service window adjustments
  • Customer growth impacts
How I Work

A process built around your operation

Not a one-size-fits-all tool. A collaborative engagement built around your specific constraints and goals.

01

Understand the Operation

Every operation has unique priorities and constraints:

  • Delivery windows
  • Driver workload balancing
  • Fleet limitations
  • HOS regulations
  • Customer service requirements
  • Operational consistency
02

Build the Optimization Model

Operational rules are translated into a routing and decision framework tailored to the business — not adapted from a generic template.

03

Evaluate Scenarios

Alternative routing and scheduling strategies are compared to identify tradeoffs and opportunities for improvement before any operational changes are made.

04

Deliver Actionable Outputs

Solutions are delivered through clear operational outputs, route visualizations, and implementation-ready reporting your team can act on immediately.

Tools & Frameworks

Built with industry-standard optimization tools

Optimization and analysis workflows are built using a combination of tools selected for each engagement's specific requirements.

Python
Google OR-Tools OR-Tools
PyVRP PyVRP
Julia
Gurobi Gurobi
Power BI Power BI
Excel Excel
Python
Google OR-Tools OR-Tools
PyVRP PyVRP
Julia
Gurobi Gurobi
Power BI Power BI
Excel Excel
Example Project

Transportation Routing & Scenario Modeling

A baseline example of the kind of routing workflow I build. Strategic adjustments make this applicable to almost any logistics operation.

Workflow Capabilities

  • Generate feasible delivery routes respecting real-world constraints
  • Handle delivery time windows and driver HOS regulations
  • Evaluate alternative operating scenarios side by side
  • Visualize routes on an interactive, browser-based map
  • Export implementation-ready route plans
Discuss Your Operation

Outputs

Route Summary
Excel · Sheet 1

Route Summary

Route-level overview: stops, miles, duration, load utilization, feasibility.

Route Detail
Excel · Sheet 2

Route Detail

Stop-by-stop operational detail: arrivals, windows, service time, leg miles.

Route Editor
Interactive HTML

Route Visualization & Editor

Browser-based map with stop editing, feasibility validation, and export.

About Me

Built at the intersection of operations and optimization

I work at the intersection of transportation operations and quantitative modeling. My focus is on building solutions that are mathematically sound and operationally realistic. I work directly with your team throughout each engagement, translating your constraints into the model and the results into plain language for the people who need to act on them.

Experience
Jun 2025 — Present
C&S Wholesale Grocers
Transportation Modeling Analyst · Remote
  • Formulate and solve large-scale vehicle routing problems to optimize outbound grocery delivery operations
  • Developed custom delivery schedule optimization algorithm that has identified opportunities to reduce outbound truck miles by more than 10% while minimizing network disruption
  • Evaluate what-if scenarios — new customers, constraint changes, delivery schedule adjustments — to support network-level decision making
  • Present quantitative results to stakeholders, translating model outputs into actionable operational recommendations
Jun — Sep 2024
United Parcel Service
Industrial Engineering Intern
  • Led process improvement project reducing route stop time, generating $29,872 in annual savings
  • Independently developed a linear programming model for a bin assignment problem, with objective coefficients reflecting employee productivity and travel time
  • Wrote SQL queries to extract and validate operational data for ROI analysis
  • Built Power BI dashboards tracking KPIs for package sorting performance
Education
Incoming · Fall 2026
Georgia Institute of Technology
M.S. Operations Research · H. Milton Stewart School of ISyE
  • Nationally ranked #1 operations research program
  • Strong foundation of coursework and faculty covering mathematical optimization and quantitative methods for supply chain decision making
Graduated Jun 2025
University of California, Riverside
B.S. Business Administration · Operations & Supply Chain Management · Minor in Mathematics

GPA 3.77 · Graduated With Honors

  • Coursework: Optimization, Linear Programming, Machine Learning, Numerical Analysis, Simulation, Applied Linear Algebra
Get Started

Let's talk about your operation.

Schedule a no-commitment discovery call. We'll discuss your routing challenges and explore what a tailored solution could look like for your business.

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Typically respond within one business day