Nextmv Consulting

Derive real business value from production-ready optimization applications faster and with more confidence through our expertise of Nextmv’s DecisionOps platform.

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Accelerating time to value of your optimization initiatives with Nextmv to drive meaningful business outcomes

Leverage end-to-end decision workflows

Rather than stitching together separate tools for modeling, solving, and visualization, integrated platforms like Nextmv eliminate gaps derived from isolated systems with end-to-end solutions.

Manage expectations with complete explainability

Every optimization run needs to be logged, tracked, and explainable. When your plant manager asks, “Why did we schedule it this way?” you need the complete audit trail to provide answers.

Drive business confidence with scenario analysis

The ability to quickly test “what-if” scenarios (e.g., what if we balance distribution?) transforms optimization from a black box into a collaborative business tool that stakeholders actually trust.

Discover our optimization and simulation case studies

,
5-10%
Reduction in logistics costs
30
Minutes to generate solutions
Optimization & Simulation

Supply Chain Logistics for Agriculture Supply Chain

5-10%
Reduction in logistics costs
30
Minutes to generate solutions
Supply Chain Logistics for Agriculture Supply Chain

,
5x
Reduction in time spent onboarding new customers
24x
Speed up in time required for container assignment
Optimization & Simulation

Container Assignments for Global Shipping Company

5x
Reduction in time spent onboarding new customers
24x
Speed up in time required for container assignment
Container Assignments for Global Shipping Company

,
25%
Increase in plant productivity
25%
Reduction in time to complete production schedules
Optimization & Simulation

Optimizing Production Schedules for Global Steel Manufacturing Company

25%
Increase in plant productivity
25%
Reduction in time to complete production schedules
Optimizing Production Schedules for Global Steel Manufacturing Company

Nextmv offerings we provide

Custom optimization model development
  • Business requirements definition and documentation
  • Use case solutioning
  • Optimization stack mapping
Integration into the technology stack
  • Deployment into data/tech infrastructure
  • Decision workflow definition and creation 
  • Environment mapping and CI/CD guidance
Results reporting and model testing
  • Model set up comparison
  • Expose model configuration for testing
  • Custom visualization for stakeholders
Training and support
  • Optimization and DecisionOps training
  • Business user onboarding to optimization 
  • Enablement workshops

MEET YOUR POTENTIAL PROJECT LEADERS

Our

Nextmv

experts guide you every step of the way

Yash Puranik

Yash Puranik

Director of Decision Science

Yash is an experienced data professional with expertise in optimization, machine learning, and software development. He is passionate about using data science to solve client challenges across various industries. Yash is a recognized Gurobi expert, a Dataiku Neuron, and a Databricks Champion.

Prior experience
The Optimization Firm, Rockwell Automation
William Wirono

William Wirono

Senior Data Scientist

William has a background in Deterministic Optimization, Linear and Mixed Integer Programming, and Machine Learning. William is excited to help build solutions that bring real meaning to businesses and stays current on advances within the data science space.

Prior experience
University of Wisconsin, Dell Technologies
Jay Foraker

Jay Foraker

Principal Data Scientist

Jay has 15+ years of teaching experience as a Permanent Military Professor at the United States Naval Academy. He has an extensive background in data visualization, analysis, and modeling with Python, optimization, and discrete event simulation.

Prior experience
US Naval Academy
Zhonghao Liu

Zhonghao Liu

Decision Scientist

Liu specializes in applied optimization and simulation, with a strong focus on translating complex real-world decision-making challenges into mathematical models. He is passionate about bridging the gap between advanced analytics and industry practice, using creative problem-solving to drive operational improvements.

Prior experience
Northwestern University, Roche
Alison Cozad

Alison Cozad

Principal Decision Scientist

Alison has deep expertise in the development and application of optimization and data science solutions. She possesses extensive knowledge of optimization solvers and has a strong background in the oil and gas industry. Alison is particularly interested in ensuring that technical solutions drive real-world decisions by focusing on interpretability, explainability, and practical deployment.

Prior experience
Gurobi Optimization, ExxonMobil
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