How to pull Nextmv run data into Google Sheets

Every time you run your app, Nextmv captures metadata that provides insight into how the app is performing. Use a simple script to pull that run data into Google Sheets to analyze and visualize KPIs over time.

Building a docs site with Next.js and Markdoc

We built a docs site that references code samples from external files to avoid copy-paste errors, makes it easier to manage code updates over time, and allows for separate testing processes to be run to validate referenced code. Here’s how.

How to build a custom order fulfillment decision model with MIP and Nextmv

This post explains what order fulfillment is, considerations for model constraints and objective functions, and walks you through building a custom optimization model, step by step.

Create optimized PagerDuty on-call rotation schedules with decision automation

I retired our on-call scheduling spreadsheet — and you can too. Here’s how I built a custom decision model that generates and sends optimized schedules to the PagerDuty API.

Model and solve a custom VRP using software paradigms with a food retailer example

Looking to solve a vehicle routing problem? Need to implement a custom constraint or value function? Learn how to create a custom routing model to represent your business logic.

Operationalizing Google OR-Tools models

Learn how to integrate a new or existing OR-Tools model into production systems using Nextmv and its infrastructure, testing capabilities, and collaboration features to create a repeatable workflow to production.

Deploying an OR-Tools model to production

Launch your OR-Tools model into production as a decision microservice with a simple copy/paste in Python using the Nextmv OR-Tools integration.

Determining decision model readiness using shadow tests and acceptance tests

How do you feel about the decision model updates you ship to production? Acceptance and shadow testing are two ways to gain confidence across model performance for business KPIs and stability indicators. We’ll show you how.

Create and run a low-code, SaaS routing app

Launch and run your own routing app with a library of configurable constraints to fit your use case.

Getting started with vehicle routing problems (VRPs) – and testing, too!

Planning efficient routes for your vehicle fleet helps you save on operational costs. Learn how to automate the creation of optimized routes that take business rules into account like capacity, precedence, time windows, and more.

How to perform an acceptance test for decision algorithms

Define the metrics that matter to your organization, run an acceptance test, and get easy-to-share results that guide your team down the path to production with confidence.

Deploy a HiGHS MIP knapsack model with a custom endpoint

Access your HiGHS model remotely. Deploy your model as an app to Nextmv Cloud in minutes.

Best practices for customizing your model in 30 minutes

With Nextmv, you can customize an optimization model for your use case without wading into linear inequalities. From creating your own value function to adding custom constraints, learn best practices for representing business logic as code.

Route optimization for food, beverage, and less-than-truckload (LTL) delivery

From tight delivery windows to refrigeration controls, route optimization models for food, beverage, and LTL delivery often require customization and rapid deployment to keep pace with business operations. Learn how to use Nextmv for this use case.

Route optimization for package and parcel delivery

Efficiently scale your delivery volume and service areas without adding stress to your operators or drivers. We’ll show you how to use Nextmv to automate and optimize routing: start with a pre-built decision model, customize your model to fit your needs, and deploy it to production.

Deploy a customizable, decision optimization app in 5 minutes

See how to build, run, and deploy a custom decision model to production in a few minutes.

Creating a custom distance or duration matrix to use with Nextmv

Learn how to use custom distance or travel time matrices for routing with Nextmv.

Solving a VRP with varying worker types

Learn how to build a custom model using our routing template to minimize costs while accounting for workers who are paid either by the hour or by task.

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.

How to optimize route operations in multiple market locations

Whether you operate in multiple market locations or want to expand into new ones, simple scenario testing can help you make decisions about vehicle fleet size, composition, and capabilities.