Nextmv
@nextmv.bsky.social
24 followers 6 following 25 posts
Nextmv is a DecisionOps platform that accelerates optimization teams with tools for deployment, testing, CI/CD, collaboration, and management of decision models. Learn more at www.nextmv.io
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nextmv.bsky.social
“Once you start learning how to recognize mathematical optimization use cases, they exist pretty much everywhere: in finance, logistics, supply chain, manufacturing, energy, and even government — the possibilities are endless.”
– Yash Puranik

Read the full interview >> hubs.la/Q03Fw-lR0
In conversation about AI/ML + mathematical optimization with Yash Puranik, Director of Decision Sciences at Aimpoint Digital
Explore the applications of mathematical optimization alongside the AI/ML landscape for predictive analytics, LLMs, and beyond.
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nextmv.bsky.social
What makes now a great time for combining #machinelearning and #operationsresearch?

Ryan O’Neil, CTO at Nextmv, recently sat down with Jerry Yurchisin, Senior Data Science Strategist at Gurobi, to discuss the opportunities for combining them, challenges in adoption, and more. hubs.la/Q03Cm9BV0
In conversation about ML + OR with Jerry Yurchisin, Senior Data Strategist at Gurobi
This interview explores perspectives on the intersection of ML and OR, challenges and opportunities for data scientists in the optimization space, observations in industry, and why now is a great time...
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nextmv.bsky.social
Optimization is often highlighted in routing, scheduling, inventory, and other tangible, visible contexts. In this post, @ryanjoneil.bsky.social explores use cases in computing and software: hubs.la/Q03xJjF40

#orms #decisionscience #decisionOps #sql #informs #optimization #operationsresearch
4 uses for optimization in software
Optimization is often highlighted in supply chain contexts – routing, scheduling, inventory, and other tangible, visible problems. This post explores a few use cases in computing and software.
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nextmv.bsky.social
Decision model development and collaboration is easier when there’s a shared system of record to reference and interact with for I/O, results, and charts. Learn how to create one in Nextmv using tracked runs: hubs.la/Q03xtJdw0

#orms #decisionOps #decisionintelligence #operationsresearch
How to record decision model results, visuals, and I/O with tracked runs: A facility location example
Decision model development and collaboration is easier and faster when there’s a shared system of record to reference and interact with for I/O, results, and charts. Learn how to create one in Nextmv.
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nextmv.bsky.social
👋 Say hello to the Nextmv FICO Xpress Integration! See how DecisionOps accelerates optimization teams with decision model development, deployment, testing, monitoring, and collaboration. Read on for more details: hubs.la/Q03wh09Z0

#orms #decisionOps #decisionintelligence #operationsresearch
Nextmv FICO® Xpress Integration: Accelerating optimization teams with modern DecisionOps
We’ve partnered with FICO® Xpress Solver to provide a modern DecisionOps platform experience to FICO Xpress users, allowing them to create end-to-end decision pipelines for model deployment, testing, ...
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nextmv.bsky.social
“Did the latest run of our routing model utilize fewer vehicles than the run we made yesterday?”

“Did we configure the same stop balancing constraint for those two runs?”

Answer these questions in a few clicks by comparing decision model runs in the Nextmv UI. hubs.la/Q03tPH1L0

#decisionscience
Quickly compare runs of your decision model in the Nextmv UI
Select multiple runs from your model’s run history for a side-by-side comparison of their KPIs and model configuration. Answer performance questions in a few clicks and determine what to test next to ...
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nextmv.bsky.social
Revisit a conversation with Fred Gardi and @ryanjoneil.bsky.social covering perspectives on growth/adoption of decision science, advocating for optimization within broader AI strategies, and the Nextmv Hexaly integration. 👇👇👇

#decisionscience #DecisionOps #hexaly #datascience #heuristics #orms
In conversation about DecisionOps with Fred Gardi, founder and CEO of Hexaly
This interview explores perspectives on growth and adoption of optimization across practitioners, challenges and opportunities in the optimization space, thinking about optimization in broader AI stra...
www.nextmv.io
nextmv.bsky.social
Create and manage queues directly in Nextmv to easily prioritize optimization model runs. Configure prioritization at runtime to prevent blocking the queue with large runs or at the model version level to ensure production runs have precedence.

www.nextmv.io/blog/simplif...

#decisionscience
Simplify optimization model run queueing with Nextmv's DecisionOps platform
Create and manage queues directly in Nextmv to easily prioritize model runs. Configure prioritization at runtime to prevent blocking the queue with large runs or at the model version level to ensure p...
www.nextmv.io
nextmv.bsky.social
Learn how Veho launched a new optimization solver in under a month with Nextmv.

“The beauty of Nextmv was that we didn’t have to change anything in our system to call the new solver — it was effectively plug-and-play... We basically needed zero engineering help.”
How Veho switched to a new optimization solver in under one month with DecisionOps
When Veho’s data science team wanted to evolve their route optimization with a new solver, they leveraged Nextmv’s DecisionOps platform to transition to Hexaly in a matter of weeks.
www.nextmv.io
nextmv.bsky.social
Tinkering with the Gurobi Optimization “Heuristics” option? Or the scikit-learn “Strategy” option? Two new packages from Nextmv automatically expose native parameters as configurable options so you can tune your models in a few clicks. Learn more >> www.nextmv.io/blog/automat...

#decisionscience
Automatically expose native Gurobipy and scikit-learn parameters as options in Nextmv
Tune your Gurobipy and scikit-learn models with configurable options so your team can prototype faster, experiment with ease, and manage their models with more insight on Nextmv’s DecisionOps platform...
www.nextmv.io
nextmv.bsky.social
Looking for an MLflow experience for optimization? Create end-to-end decision workflows in Nextmv with steps such as data prep, regression, optimization, and visualization. Learn more >> www.nextmv.io/blog/build-d...

#decisionops #mlops #logistics #supplychain #decisionscience #datascience #orms
Build decision workflows to automate multiple steps in an optimization pipeline
Looking for an MLflow experience for optimization? Create and manage end-to-end decision workflows in Nextmv with steps such as data prep, regression, optimization, and visualization. Press play to ki...
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nextmv.bsky.social
Build and run an ML + OR decision workflow in Nextmv: www.nextmv.io/blog/how-to-...

Prepare data (Pandas) → run regressor (Statsmodels) → run optimizer (Gurobi) → visualize output (Plotly) and then run a scenario test!

#orms #DecisionOps #DecisionFlow #python #datascience #MLFlow #MLOps #informs
nextmv.bsky.social
🎛️ Troubleshooting an operational issue or a poorly performing plan? Identify better plans by replaying your run with varying settings. Create multiple scenarios to understand the impact of input data, model configuration, and more on your KPIs in Nextmv’s UI. nextmv.webflow.io/blog/replay-...
Replay optimization model runs under different conditions with scenario testing
Identify better plans by replaying your run with varying settings. Create multiple scenarios to understand the impact of input data, model configuration, and more on your KPIs in Nextmv’s UI.
nextmv.webflow.io
nextmv.bsky.social
Optimization is key to MatchBack Systems minimizing costs and improving equipment utilization for its customers — but it's the speed to deployment and model iteration that takes their solution to the next level: hubs.la/Q03dtMKg0

#orms #supplychain #datascience #decisionscience #decisionOps
MatchBack Systems: Eliminating historical drayage inefficiencies for imports and exports
Optimization plays a key role in MatchBack Systems successfully minimizing costs and improving equipment utilization for its customers — but it's the speed to deployment and model iteration that takes...
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nextmv.bsky.social
🎨 Using Plotly, Chart.js, or GeoJSON to visualize data from your optimization models?

Streamline analysis and collaboration with interactive charts, plots, and maps that automatically render in the context of run details. www.nextmv.io/blog/render-...

#datascience #orms #logistics #supplychain
Render custom visualizations for your optimization model with Plotly, Chart.js, and GeoJSON
Standardize and manage custom visuals as data assets in Nextmv alongside your model. Accelerate your workflows with interactive charts, plots, and maps that automatically render alongside run details ...
www.nextmv.io
nextmv.bsky.social
“I’m putting the schedule together for tomorrow. Why are we using fewer drivers?”

When an operational concern is raised, reproducing it is critical. With Nextmv, replaying optimization model history (with easy access to all the data) is just a click away.

www.nextmv.io/blog/reprodu...
Reproduce and replay optimization model runs to troubleshoot operational issues faster
When an operational issue is reported, reproducing it is one of the first steps in an investigation. Finding and connecting the data you need to triage the issue can be intensive. With Nextmv, replayi...
www.nextmv.io
nextmv.bsky.social
Building a decision model in a Jupyter Notebook? Push your Python model from a local file to a remote app with Nextmv. Conduct tests, collaborate with teammates, and get observability into model performance.

www.nextmv.io/blog/deploy-...

#decisionscience #datascience #orms #python #jupyter
Deploy Python decision models as hosted apps directly from a Jupyter Notebook
Push your Python decision model from a local file to a remote application in minutes – whether you’re using a notebook or running in another Python environment. Conduct tests with fully featured exper...
www.nextmv.io
nextmv.bsky.social
With new ensemble runs on Nextmv, you can evaluate multiple models and solvers to automatically surface the best performing plan – with all the supporting context you need to share results. www.nextmv.io/blog/auto-se...

#decisionscience #datascience #orms #optimization #simulation
Auto-select the best plan from your optimization when comparing decision models and solvers
Run multiple solvers or models in parallel to automatically select the best plan for your business with ensemble runs. Use your unique rules as selection criteria to easily converge on a plan, validat...
www.nextmv.io
nextmv.bsky.social
👟 We’re hitting the ground running in 2025! We look back at how the Nextmv DecisionOps platform evolved over the last year and what we plan to release this year. www.nextmv.io/blog/a-2024-...

#decisionops #machinelearning #datascience #decisionscience #orms #python
A 2024 lookback and 2025 preview of DecisionOps workflows
2024 was the year of the Python modeling experience, optimization integrations, and helping modelers find solutions even faster with parallel runs and interactive visualizations. In 2025, we look forw...
www.nextmv.io
nextmv.bsky.social
What can DS/OR practitioners do to efficiently deliver more decision model code and model value for real-world impact? A first step, adopt modern Git practices: pubsonline.informs.org/do/10.1287/o...

#orms #informs #operationsresearch #decisionscience #analytics #cicd