Carolyn Mooney

Co-Founder & CEO
Carolyn Mooney began her career running large scale ballistic missile simulations at Lockheed Martin. She adapted her skills to meal delivery in Decision Engineering at Zoomer, then led Grubhub's Systems Engineering team, consulting on projects from ETA improvements to scheduling and market management. Carolyn has a BSE in Systems Engineering from the University of Pennsylvania and coaches volleyball when she's not founding companies.‍
A 2021 look back and 2022 preview

A lot happened at Nextmv in 2021. Here’s a 5-minute rundown of all the goodness the team dispatched and a mini preview of what’s to come in 2022.

Decisions as code

We love a good polyhedral representation with a side of matrix math, but we know they're not for everyone. So we're creating decision optimization tooling that allows developers to work with decisions as code.

Testing...testing...1, 2, 3

At Nextmv, we help companies make the best decisions in the time they have. But how do you know what’s better or even good? Let’s talk about testing decisions.

Building for the Everybunny: Two years and counting at Nextmv

It’s been two years since we started Nextmv and one heck of an exciting journey. Here’s a look at how some things have changed and how others have stayed the same.

Nextmv raises $8 million for Series A round to power decision science

We're thrilled to have FirstMark Capital lead our Series A round, putting even more momentum behind our vision to bring the power of decision science to every developer.

Shift scheduling algorithm comparison: Optimizing for shift coverage

See how to test two shift scheduling algorithms. One algorithm increases the time between shifts to account for new labor laws compared to the other algorithm that does not. How do schedule overages change across the two?

Order fulfillment and carrier selection experiment: Comparing handling costs

Test two order fulfillment algorithms that consider costs for distribution center handling costs and carrier selection. A new algorithm introduces a change to account for inventory capacity at a distribution center to increase efficiency and decrease food waste. How will costs change compared to the algorithm that does not?

Vehicle routing (VRP) algorithm test: Comparing a mixed fleet to a homogenous fleet

See how to test two VRP decision algorithms (one that has a homogenous fleet of cold chain-ready vehicles and one that is a mixed fleet with cold chain and non-cold chain vehicles) that looks to compare total time on road values and other KPIs.

In conversation with Ox and The Rounds: Circular logistics and human-centered automation

The CEOs and founders of two startups sit down with Carolyn Mooney to discuss logistics and automation, navigating the evolving world of AI technology, and the benefits of efficiency and sustainability.

Decision model testing for routing, assignment, order fulfillment, and shift scheduling

Four decision algorithms, multiple experiments, one platform. Explore recently released batch testing capabilities for evaluating model changes to compare output metrics, KPIs, and prepare for acceptance and scenario tests.

Build decision models with confidence: Working with testing in optimization

Optimization model testing plays a key role in ensuring smooth yet improving business operations. But the testing universe is big and sometimes unwieldy. Learn how to get started with a unified decision model testing framework.

In conversation with Dr. Karla Hoffman about optimization and operations research

Is optimization a solved problem? How does it fit into modern business models such as on-demand delivery? What does it mean to model like an operator? We’ll ask Dr. Hoffman these questions and more.

Getting started with Nextmv

Build and run complete decision optimization models in minutes for vehicle routing, scheduling, packing, and Sudoku. With a few commands, you're ready to solve.

From zero to customizable decision model in minutes with Nextmv

Register to watch a presentation, demo, and AMA time with the Nextmv team. Get an overview of the newly released custom decision optimization platform, see it in action, and check out a preview of our multi-solver capabilities.

Decisions as code: Systems thinking, operations research, and computer science

From vehicle routing problems (VRPs) to scheduling staff and workers, there is a multitude of decisions ripe for automation. In this talk, Carolyn Mooney, CEO of Nextmv, talks about her vision for shifting from traditional decision workflows to decision automation where any developer can work with decisions as code.