Reduce operational costs and improve efficiency through optimized decision systems

Applied to logistics, production and resource allocation — using your real data.

Where Optimization Creates Value

Vehicle Routing

Optimize delivery routes and technician assignments while minimizing travel time and operational cost.

Production Planning

Sequence production orders and minimize setup times across constrained manufacturing lines.

Inventory & Supply Chain

Optimize inventory levels and replenishment decisions across distribution networks while balancing service levels, storage capacity and operational cost.

Workforce Scheduling

Optimize workforce schedules and task assignments while respecting labor constraints, service requirements and operational demand.

Network Design

Design distribution networks by optimizing facility locations and product flows to minimize logistics costs while maintaining required service levels.

Impact from previous projects

$ 40M

Transportation Savings

$ 30M

GMV Uplift

11%

Setup reduction

18%

Waste reduction

Accenture

United States Postal Service

Votorantim

Vallourec

Hospital Albert Einstein

Mercado Livre

Impact from previous projects

$ 40M

Transportation Savings

$ 30M

GMV Uplift

11%

Setup reduction

18%

Waste reduction

Accenture

United States Postal Service

Votorantim

Vallourec

Hospital Albert Einstein

Mercado Livre

Impact from previous projects

$ 40M

Transportation Savings

$ 30M

GMV Uplift

11%

Setup reduction

18%

Waste reduction

Accenture

United States Postal Service

Votorantim

Vallourec

Hospital Albert Einstein

Mercado Livre

How optimization becomes operational

We design and deliver optimization systems that reduce costs and improve operational decisions — with measurable impact.

Step 1
Discovery

Identify high-impact optimization opportunities

We analyze your current decision process, constraints and available data.

Deliverable:

Problem framing and feasibility

Duration:

1 week

Step 2
Quick Pilot

Prove measurable impact using your real data

We build a working prototype using your data and compare results with your current approach.

Deliverable:

Prototype + measurable insights

Duration:

4–6 weeks

Step 3
Operational MVP

Build a decision-ready optimization engine

We deliver a production-ready decision engine that your team can run and adapt

Deliverable:

Decision engine + real data results

Duration:

4–8 weeks

Step 4
Integration

Deployment in your environment

We deploy the solution within your infrastructure (cloud or on-premise), ensuring full control by your team.

Deliverable:

Deployed solution in your environment

Duration:

2–6 weeks

Step 5
Handover

Full ownership transfer

Your team fully owns the solution — code, models, and execution. No dependency on external systems or vendors.

Deliverable:

Documentation + runnable system + trained team

Duration:

1 week

Optimization solutions built for real operations — fully controlled by your team

What you get:
a production-ready decision engine

Start with a practical pilot.

Evolve into a production-ready system when it proves value.

What you achieve

You get a working solution applied to your real data — not a theoretical model. It delivers actionable decisions and can evolve into a production-ready system.

What’s included

A solution tailored to your operational decisions Ready-to-run in your environment Clear inputs and outputs for real usage Integration options with internal systems Validated scenarios to support decision-making Documentation for deployment and daily operation

How it runs

Runs fully within your environment. No SaaS. No data leaving your infrastructure. No vendor lock-in. It can run: on demand on schedule integrated into internal systems

Why your team stays in control

Your team can operate, adapt and extend the solution independently — without relying on external vendors or black-box systems.

About Decid-OR

Decid-OR is a company specialized in building optimization and decision systems for complex operations.

It transforms operational data into decision engines that support real-world processes such as routing, scheduling, resource allocation, and capacity planning.

Rather than delivering reports or prototypes, Decid-OR develops production-ready optimization systems designed to run inside the client’s infrastructure — fully owned and operated by their teams.

Its approach combines mathematical optimization, domain-specific modeling, and pragmatic engineering to ensure solutions are not only technically sound, but also directly applicable in real operations.

Founder

Decid-OR was founded by Ricardo Leão, an optimization specialist with over a decade of experience designing and implementing decision systems in large-scale operations.

He holds a Master's Degree in Decision Support Methods and Algorithms and has led the development of optimization solutions in companies such as Mercado Livre and Accenture.

Engineering Stack

AI-assisted development using modern coding agents
to accelerate optimization engineering.

Tools used in the development workflow.

About Decid-OR

Decid-OR is a company specialized in building optimization and decision systems for complex operations.

It transforms operational data into decision engines that support real-world processes such as routing, scheduling, resource allocation, and capacity planning.

Rather than delivering reports or prototypes, Decid-OR develops production-ready optimization systems designed to run inside the client’s infrastructure — fully owned and operated by their teams.

Its approach combines mathematical optimization, domain-specific modeling, and pragmatic engineering to ensure solutions are not only technically sound, but also directly applicable in real operations.

Founder

Decid-OR was founded by Ricardo Leão, an optimization specialist with over a decade of experience designing and implementing decision systems in large-scale operations.

He holds a Master's Degree in Decision Support Methods and Algorithms and has led the development of optimization solutions in companies such as Mercado Livre and Accenture.

Engineering Stack

AI-assisted development using modern coding agents to accelerate optimization engineering.

Tools used in the development workflow.

About Decid-OR

Decid-OR is a company specialized in building optimization and decision systems for complex operations.

It transforms operational data into decision engines that support real-world processes such as routing, scheduling, resource allocation, and capacity planning.

Rather than delivering reports or prototypes, Decid-OR develops production-ready optimization systems designed to run inside the client’s infrastructure — fully owned and operated by their teams.

Its approach combines mathematical optimization, domain-specific modeling, and pragmatic engineering to ensure solutions are not only technically sound, but also directly applicable in real operations.

Founder

Decid-OR was founded by Ricardo Leão, an optimization specialist with over a decade of experience designing and implementing decision systems in large-scale operations.

He holds a Master's Degree in Decision Support Methods and Algorithms and has led the development of optimization solutions in companies such as Mercado Livre and Accenture.

Engineering Stack

AI-assisted development using modern coding agents
to accelerate optimization engineering.

Tools used in the development workflow.

Start a conversation

If your organization is facing a complex operational decision, use this form to start a conversation.
We will review your message and respond with initial thoughts on how optimization might apply.

Start a conversation

If your organization is facing a complex operational decision, use this form to start a conversation.
We will review your message and respond with initial thoughts on how optimization might apply.

Start a conversation

If your organization is facing a complex operational decision, use this form to start a conversation.
We will review your message and respond with initial thoughts on how optimization might apply.

Optimization Newsletter

OR-Path is an independent project focused on the practical application of Operations Research.

Through articles and resources, it explores how optimization and decision science are used to solve real operational problems across industries.

The project also shares insights on careers and professional development in Operations Research.

Optimization Newsletter

OR-Path is an independent project focused on the practical application of Operations Research.

Through articles and resources, it explores how optimization and decision science are used to solve real operational problems across industries.

The project also shares insights on careers and professional development in Operations Research.

Optimization Newsletter

OR-Path is an independent project focused on the practical application of Operations Research.

Through articles and resources, it explores how optimization and decision science are used to solve real operational problems across industries.

The project also shares insights on careers and professional development in Operations Research.