Princeton Optimization

We are an AI Optimization consulting firm trusted to develop optimization strategies, AI innovation & custom optimization solutions. Read more Reach New Heights of Efficiency and Service Read more Maximize Your High-Value Assets Read more Slider4 Sider 4 Slider 4
20
Years
in business

Trusted AI / Optimization Experts

  • Solution design, development & deployment
  • Model review, validation and improvement
  • Advisory services and best practices for in-house teams

Mission

Helping clients transform performance by integrating AI and Optimization into core processes

Experience

Senior staff average 15+ years at Princeton; Leadership averages 20+ years

Steve Sashihara, Founder and CEO

We provide world-class optimization solutions and services

  • Custom Optimization

    Custom Optimization Solutions and Services The “secret sauce” of optimization projects is powerful software that effectively becomes your real-time advisor.  To succeed, you must go beyond conventional technology or business process tools and harness the powerful combination of emerging optimization technology and the latest in agile project management. Each Client is Unique Princeton Consultants’ work […]

  • Model Review & Improvement

    Optimization Model Review & Quality Assurance We help organizations maximize the value of their AI Optimization models. Our independent assessments improve model performance, accuracy, and stakeholder confidence. Optimize Model Performance and Accuracy With Proven Techniques Developed over four decades of project work across industries in many different problem areas, our model review service includes: Enhancing […]

  • Advisory Services

    Advisory Services We often partner with business executives and in-house Advanced Analytics and IT teams to help build and deploy world-class solutions, to build AI and Optimization portfolios of opportunity, and to improve their AI and Optimization capabilities and development processes. Representative services include the following. Cost Benefit Analysis (CBA) of Advance Analytics Projects Potential […]

Princeton Optimization Success Stories

How Optimization transformed the 2020 US Census

The 5 Steps of a Princeton Optimization Solution Development Project

1

The Charter

Choose the right areas of opportunity. Assemble the right team.

 
2

The Vision

Select the top candidates. Use real data to prove the solution is possible and to demonstrate its value.

3

The Early Win

Pick an entry point. Get into production with real users. Create bottom-up enthusiasm.

4

The Scale-up

Broaden into full field as default behavior.

5

The Harvest

Expand functionality. Use savings to lower prices / expand share. Sell capabilities.

About Princeton Optimization

"The increase in speed and flexibility from the new model impacts every piece of our business across multiple teams. With this new model, Birchbox has truly entered a new operating universe."
David Bendes Director, Personalization and Operations Technology, Birchbox
“For a QA assessment based on optimization systems and computational mathematics, I don’t believe you could find a blend of talent and service better than Princeton Consultants."
Andrea Fuenekes Co-founder & CEO, Remsoft
“The beauty of the solution, however, is not just its algorithm; rather, it’s that the app empowers human engineers to make better decisions.”
CIO Fortune 50 Company
"The system developed by TTX with Princeton Consultants represents a revolutionary advance in how we manage railroad cars and add significant new value to our customer relationships."
Thomas Wells President and CEO, TTX Company
"Steve Sashihara convincingly demonstrates how the application of advanced quantitative techniques can significantly improve day-to-day decision making, which is what we have done at Quad/Graphics.”
Dave Blais, Executive Vice President, Quad/Graphics
"Princeton Consultants proved to be a great choice. They remained very aware of our timeline needs and were helpful in making sure we built what was needed to meet the initial requirements, while also keeping in mind future needs."
VP, Market Research and Forecasting, Fortune 500 Company
"Thoroughly impressed with the user’s ability to easily navigate the application with zero training or context. When the users are excited and the feedback is 'when can we get more', please take this as a MAJOR WIN for adoption!
AVP, Operations, Fortune 500 Company
"For executives who don’t have an optimization strategy, The Optimization Edge by Steve Sashihara is a must read."
Jim Goodnight, CEO, SAS

Insights from our blog

Making Optimization Work in Production: Lessons from Large-Scale Applications

Following are lightly edited excerpts from Rob’s recent webinar (watch the recording here). An optimization model can perform beautifully in development but struggle or fail when it reaches production. The…

Exploring the Emergence of GPUs and PDHG in Industrial Strength Optimization with NVIDIA, Gurobi and FICO

At the INFORMS Analytics+ Conference in April, I moderated a panel on GPUs, the Primal-Dual Hybrid Gradient (PDHG) and “the ongoing evolution of Mixed Integer Linear Programming (MILP) and an…

Tools, Training and Testing: Optimizers Discuss AI Precision Agents

Following are lightly edited questions and answers from Patricia’s presentation on Orchestrating Optimization with Precision Agents at the INFORMS Analytics+ conference and in a subsequent webinar (watch the recording here…
The Optimization Edge: Reinventing Decision Making to Maximize All Your Company's Assets

In “The Optimization Edge,” author and Princeton Consultants Founder and CEO Steve Sashihara introduces readers to optimization–a proven subset of AI powered by mathematics and special software that makes recommendations–in clear, nontechnical terms.

Based on Steve’s extensive experience working with major corporations across the industrial landscape, the book analyzes a variety of companies that are working on the frontier of Optimization.
“For executives who don’t have an optimization strategy, this book is a must read,” says Jim Goodnight, CEO of SAS. “There’s a good chance that the competition already has an active optimization battle plan—and the bottom-line savings to prove it.”