
Optimize processes and resources with artificial intelligence
Optimization algorithms that improve resource allocation, operational processes and business outcomes using AI and operational data.
Overview
Our Optimization with AI accelerator applies operations research techniques combined with machine learning to solve complex allocation, sequencing and efficiency problems.
Services
Route optimization
Algorithms that calculate the most efficient routes for fleets considering time, cost, delivery windows, and constraints.
Resource allocation
Optimization of team, equipment, and budget distribution across projects, units, and activities.
Production scheduling
Optimized sequencing of production orders considering setup, capacity, and delivery deadlines.
Portfolio optimization
Optimization models for investment, project, or product portfolios to maximize risk-adjusted returns.
Supply Chain optimization
Logistics network, inventory level, and replenishment policy optimization to minimize total cost to serve.
Scheduling & workforce
Intelligent shift and team scheduling considering demand, skills, regulations, and preferences.
Where we operate
Where we operate with Optimization with AI
Logistics & transportation
Route optimization, load consolidation, and fleet scheduling to reduce costs and improve service levels.
Manufacturing
Production scheduling, machine sequencing, and setup optimization to maximize throughput.
Retail
Inventory replenishment optimization, shelf space allocation, and store team planning.
Energy
Optimal generation dispatch, energy portfolio optimization, and asset maintenance planning.
Healthcare
Surgery scheduling optimization, bed allocation, and medical team scheduling.
Financial
Investment portfolio optimization, capital allocation, and liquidity management.
How we work
Problem Modeling
Formal definition of the optimization problem: decision variables, constraints, and objective function.
Algorithm Selection
Choosing the most suitable optimization approach: exact, heuristic, metaheuristic, or ML-based.
Implementation & Testing
Solver development, real data testing, and result validation against baseline.
Integration & Automation
Integration with operational systems with execution automation and optimized plan generation.
Monitoring & Adjustment
KPI tracking, parameter adjustments, and incorporation of new constraints and objectives.
Problem Modeling
Formal definition of the optimization problem: decision variables, constraints, and objective function.
Algorithm Selection
Choosing the most suitable optimization approach: exact, heuristic, metaheuristic, or ML-based.
Implementation & Testing
Solver development, real data testing, and result validation against baseline.
Integration & Automation
Integration with operational systems with execution automation and optimized plan generation.
Monitoring & Adjustment
KPI tracking, parameter adjustments, and incorporation of new constraints and objectives.
Other solutions

Demand & Price Forecast
Predictive models that anticipate product and service demand, optimize inventory and set strategic prices to maximize margin and revenue.
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NBO (Next Best Offer)
Intelligent recommendation engine that identifies the best offer, product or action for each customer at the right moment.
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Smart Assortment
Algorithms that define the ideal product assortment by store, channel and region, maximizing sales and reducing waste.
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Dynamic Pricing with AI
Automated dynamic pricing that adjusts prices based on demand, competition, elasticity and business objectives.
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Persona Creation
Intelligent segmentation that creates detailed and actionable personas from behavioral, demographic and transactional data.
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Industry AI
Pre-configured vertical accelerators with models, data and pipelines optimized for specific challenges in each industry.
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Absenteeism & Turnover
Predictive models that identify employees at risk of absence or resignation and recommend preventive retention actions.
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Generative AI
Generative AI accelerators with RAG, corporate assistants, content automation and intelligent chatbots ready for production.
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Fraud Detection
Fraud detection models that identify suspicious transactions with high precision, low false positives and millisecond response times.
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Churn Prediction
Predictive models that identify customers at risk of cancellation and recommend personalized retention actions.
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Market Intelligence
Competitive monitoring and market analysis platforms with automated data collection and AI-generated insights.
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