Services
Optimization and Decision Science
Some of the most valuable problems are not prediction problems. We build optimization and simulation models for scheduling, inventory, routing, and resource allocation, and connect them to the data that drives daily decisions.
What we deliver
- Linear and mixed integer optimization models
- Inventory and supply chain planning
- Energy storage and scheduling optimization
- Path planning and routing algorithms
- Signal processing and simulation
What you can expect
- Lower operating costs under real constraints
- Decisions backed by transparent models
- Scenario analysis before committing resources
- Models validated against historical data
Typical use cases
- Charge and discharge scheduling for storage assets
- Demand forecasting and replenishment planning
- Logistics and robotics routing
- Sensor and radar signal analysis
Technologies we use
- Python
- Pyomo
- SciPy
- NumPy
- NetworkX
- MATLAB
- R
Related case studies
Examples of how we have applied this service for clients.
Supply Chain
Seven month supply chain modeling program
Demand forecasting and inventory models benchmarked against historical data to optimize stock decisions.
Read case study
Energy
Energy storage scheduling optimization
An optimization model that schedules charging and discharging to minimize cost under real operating constraints.
Read case studyHave a project in mind?
Tell us what you want to achieve. We will reply with honest feedback on feasibility, approach, and next steps.