#

Explainer

Optimization hackathons, code fests, and innovation challenges on Nextmv

Looking to innovate in operations research? Or better translate academic research to industrial practice? Build or practice modeling skills set up for real-world impact? Check out this starter guide to hosting challenges on Nextmv.

How to scale logistics planning with optimization models

What if you could explore 100s or 1,000s of possible plans in seconds instead of 10s of plans in days or weeks? Optimization models make this possible all while keeping humans in the loop to ensure quality and build trust.

Observability & decision science: Monitoring optimization model performance and more

When decision models power real-life operations, any sort of model performance failure is a nightmare. Learn why observability in the operations research space is often a challenge – and how to give your team more visibility into model performance with DecisionOps.

The sushi is ready. How do I deliver it? A look at the behind-the-scenes logistics.

We examine the value of treating decision models as engineered software components and how to approach decision modeling with an adaptable process.

Optimizing your AI investment with decision services

Identify and link operational areas that benefit from decision models such as vehicle routing, worker scheduling, and order fulfillment – empowering your teams to deliver more decision AI projects faster.

What's new at Nextmv? Solver and data integrations, simulating scenarios, and ML+OR

Join us for a tour of the newest features and get a sneak peek of what’s to come. See how our decision science platform helps teams launch and scale optimization projects faster and with more confidence.

Nextmv ML/OR connectors: A price optimization example with Gurobipy, Gurobi ML, and Gurobipy Pandas

A look at how Nextmv’s ML/OR connectors better optimize the plans generated by decision models through streamlining the incorporation of machine learning outputs such as forecasts. Plus, avocados are involved.

Combining machine learning (ML) and operations research (OR) through horizontal computing

In the on-demand logistics space, ML and OR are colliding more frequently with practitioners generating demand forecasts that feed into shift scheduling models that feed into vehicle routing models. How can we benefit from their combined value more often?

What is switchback testing for decision models?

Switchback testing is a key part of the DecisionOps workflow. Get a quick primer on what it is and when to use it in this 2-minute video.

Exploring sample decision apps with a free Nextmv account

Dive into sample routing and scheduling apps in the Nextmv console that are preloaded with runs and experiments. Interact with live dashboards and explore the full functionality of these decision apps.

Decision diagrams in operations research, optimization, vehicle routing, and beyond

In the beginning there was linear programming. It spawned decades of similarly-shaped solver offshoots. Decision diagrams break with this classic paradigm and offer new opportunities to solve common optimization problems.

Bridging the divide between optimization and production infrastructure

With Nextmv, getting a decision model into production is just like deploying any other software. Build custom models and create a unique endpoint for your model that can easily integrate into your other services.

Tools for benchmarking and testing in the optimization space

Which solver or algorithm performs better for your use case? How does your model perform under stress? See a preview of how the Nextmv platform can streamline benchmarking instances, testing scenarios, and more.

Decision model, meet production

Nextmv is removing the roadblocks for going from optimization problem definition to production environment. This makes optimization easier for operations researchers and more accessible to developers. See what this looks like and watch a demo.

Going from manual to automated decision-making

What does it mean to go from manual to automated decision-making? Why make the switch? We explore this topic and show you how.

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.

Route planning, optimization, and automation with Nextmv Cloud

Solve routing problems like delivery, distribution, and sourcing with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.

Sourcing route planning, optimization, and automation with Nextmv Cloud

Solve your sourcing and dispatch problems with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.

Distribution route planning, optimization, and automation with Nextmv Cloud

Solve your distribution and dispatch problems with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.

Delivery route planning, optimization, and automation with Nextmv Cloud

Solve your delivery and dispatch problems with Nextmv Cloud. See your optimized routes on the map in the console or use the API to connect to your data source and frontend UI. Scaling is fast and easy with Nextmv.