Blog

Operationalizing Python decision models: configurable options, simple I/O, custom logging, and more

If you’re building decision models in Python, our Python SDK and decision science platform make the development process faster (and easier) so you can get your model safely into production.

What is DecisionOps and why does it matter?

The ops-ification of disciplines such as software development, machine learning, and security aims to increase efficiency and reduce risk. For decision science and operations research — a discipline built on efficiency — it’s no different.

Nextmv HiGHSpy decision app: Build, test, and deploy Python MIP models faster

If you’re solving mixed-integer programming problems in Python, the latest Nextmv app will accelerate your development. Deploy, test, manage, and collaborate on your HiGHSpy model with our DecisionOps platform.

Optimizing routes for student pickup and dropoff with HopSkipDrive and Nextmv

To solve the complex transportation challenges of school districts nationwide, HopSkipDrive leverages Nextmv’s building blocks to develop its proprietary and customizable student routing solution.

Link and test logistics models for demand forecasting, shift scheduling, and vehicle routing

Follow this step-by-step tutorial to go from a forecasted demand to optimized routes for delivery and similar use cases. Create and customize decision apps using OR-Tools, HiGHS, Pyomo, and more.

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.