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About Lontra

Tell us your problem. We will find the math.

Our Approach

We solve concrete problems with real mathematics.

We don't sell decorative dashboards or generic reports. We analyze your operation, build mathematical models tailored to it, and give you decisions you can put into practice the next day.

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Straight to the Problem

You don't need to understand the theory. You tell us what hurts, and we translate it into a model that solves it.

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Backed by Science

Every solution builds on methods published in leading scientific journals. We model instead of guessing.

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Results You Can Implement

You get tools, code, and recommendations your team can use from the day after the project closes.

The Lontra Method

How We Work: From problem to solution

Data-driven decisions, validated in real operations.

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01. We Listen to Your Problem

A direct conversation to understand what is failing, what you want to improve, and what data you have. No unnecessary jargon.

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02. We Build the Model

We translate your operation into equations, simulations, or AI algorithms. The model adapts to your problem, rather than the other way around.

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03. We Solve and Validate

We run the model, test multiple scenarios, and check that the results make sense in your real context.

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04. We Deliver the Solution

Clear recommendations, working tools, and code you can use, instead of reports that end up in a drawer.

Methodology validated in defense, port logistics, manufacturing, and supply chain projects.

Our Team

Meet the Team

Juan Pablo Morande

Director & Principal Consultant

MS · PhD (c) Auburn University · Industrial Eng. UAndes

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Specialist in operations research, machine learning, and simulation, with hands-on experience in combinatorial optimization, time-series forecasting, and LLM-based systems applied to industrial problems. Prior projects in defense (U.S.), mining and port logistics (Chile), manufacturing (Colombia), and supply chain (Norway).

school Education

PhD (c) & Master's, Industrial & Systems Engineering

Auburn University, Alabama

Industrial Engineer

Universidad de los Andes, Chile — 2020

work Selected Applied Projects

Defense - U.S.

Aircraft and crew assignment and scheduling optimization

Optimization models and heuristics for strategic planning of air operations. AFMC/Frontier Technology project.

Ports - Chile

Freight cost prediction with neural networks

Implementation of LSTM, Transformer, and TFT models to forecast freight rates at Chilean ports.

Manufacturing - Colombia

Vehicle loading optimization with heterogeneous fleets

2D optimization methodology to minimize delays at a motorcycle assembly company.

Supply Chain - Norway Published in Omega

MILP circular supply chain model with stochastic programming

Research at NTNU on strategic decisions and product design in closed-loop supply chains. Published in Omega (2025), a top Operations Research journal.

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Collaborator Network

Specialized professionals who complement our capabilities on every project.

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Konstantinos Ziliaskopoulos

Transportation & Networks

PhD-candidate researcher in transportation optimization and network design. Brings expertise in dynamic assignment models and large-scale network design.

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Jose Palma Jofré

Business Intelligence & Analytics

Industrial engineering professional with hands-on experience in business intelligence and operations analysis. Brings implementation capability for dashboards and analytical models across Chilean industry.

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Have an operational
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