Our approach to
Advanced Analytics
Many organizations invest in data and technology, yet struggle to convert analytical capability into measurable business outcomes. The gap is rarely technical — it is strategic alignment, data readiness, and execution discipline.
What we deliver
Business-Driver Analytical Framing
- Business driver decomposition
- Analytical hypothesis formulation
- Prioritization of high-impact use cases
- Quantified value potential assessment
Predictive & Prescriptive Modeling
- Forecasting models (demand, revenue, risk...)
- Predictive scoring & classification models
- Optimization models (cost, pricing, supply...)
- Scenario simulation & sensitivity analysis
Decision Intelligence & Optimization
- Prescriptive decision engines
- Resource allocation optimization
- Portfolio and investment simulation
- "What-if" modeling environments
Industrialization & Model Governance
- Model validation & performance testing
- MLOps and production deployment strategy
- Monitoring frameworks
- Continuous refinement roadmap
Driving measurable outcomes
up to $10 MM
in savings through predictive algorithms
up to $8 MM
direct improvement in free cash flow
50%
reduction in billing fraud with a classification algorithm
Proven in complex environments
Food & Beverage
MRO inventory optimization for a global beverage Leader
Development and deployment of machine learning models to redesign the MRO inventory policy for a global beverage company operating across Latin America. The initiative reviewed item criticality, redefined replenishment parameters, and implemented algorithm-driven purchase and transfer decisions to optimize working capital and improve supply reliability.
Impact
USD 10MM (37%) reduction in average inventory value and 58% reduction in stockouts
Agribusiness
Accounts receivable forecasting optimization
Development and benchmarking of advanced time-series and machine learning models to increase the accuracy of daily accounts receivable forecasting, replacing a volatile projection logic with a robust analytical framework to support better cash management and financial planning.
Impact
Projection error reduced from 25% to below 5% with multiple scenario simulations
Natural Gas
Demand forecasting optimization
Implementation of advanced predictive models to forecast gas consumption across network entry points, replacing an unreliable demand planning process with a data-driven forecasting engine and establishing an end-to-end monitoring framework for sustained performance.
Impact
90% reduction in contractual penalty expenses and USD 1.1MM in annual savings
Let’s design the analytical models
that will drive your next performance leap.
