Optimization & Decision Systems

Predictive Analytics

Past data contains the future. You just need to know how to read it.

Every company accumulates data. Transactions, sensors, operational logs, user behaviors: an archive that grows every day and that, in most cases, is used only to look backward. We use it to look forward.

We build custom predictive analytics systems: models that learn from historical patterns, update on new data and produce actionable forecasts — on demand, behavior, operational performance, risk. Not dashboards. Decisions.

Problems we solve

Blocked knowledge, critical dependencies and inefficiencies holding back growth

Decisions based on instinct

Without a predictive model, decisions are based on historical averages and perceptions. Data often tells a different story.

Reactivity instead of anticipation

Intervening after a problem has manifested always costs more than predicting it.

Static models that do not update

A model trained once and forgotten degrades over time. Patterns change, seasonality evolves, the market moves.

Heterogeneous data that is difficult to integrate

Time series, GPS data, sensor signals, external variables: merging different sources into a single predictive model requires a thoughtful architecture.

Non-actionable outputs

A forecast without a linked action is just a number. Our systems are designed to feed operational decisions, pricing, planning.

Use Cases

Real projects, measurable results

We developed a dynamic pricing system based on predictive models on time series: the model estimate…

Transportation sector — Predictive dynamic pricing

We developed a dynamic pricing system based on predictive models on time series: the model estimates demand based on seasonality, contextual variables and behavioral patterns, and automatically determines the optimal price in real time.

From human decision to autonomous, scalable and data-driven system.

Transportation sector — Predictive dynamic pricing

We built a predictive analytics system on GPS data and WiFi signals to estimate passenger flows and…

Railway sector — Predictive analytics on movement data

We built a predictive analytics system on GPS data and WiFi signals to estimate passenger flows and occupancy on trains and carriages. ML models learn movement patterns over time and produce forward-looking estimates useful for operational planning.

IoT and predictive analytics in a single operational pipeline.

Railway sector — Predictive analytics on movement data

We build systems that learn user preferences, anticipate their needs and suggest the right content,…

Recommendation system — Personalization at scale

We build systems that learn user preferences, anticipate their needs and suggest the right content, product or action at the right moment.

Designed to maximize relevance and conversion rate.

Recommendation system — Personalization at scale

Technology Corner

The architecture and technologies that make the difference

Our projects don't rely on off-the-shelf solutions. Every system is designed on the right architecture for the specific problem — and the technology choice makes the difference between a tool that works in demo and one that holds up in production.

Predictive models on time series

✓ Time series forecasting
ARIMA, Gradient Boosting, recurrent neural networks
✓ Capturing seasonality, trends and cyclical patterns
across variable time horizons
✓ Continuous model updates in production
to adapt to new data

Feature engineering and data integration

✓ Fusion of heterogeneous sources
time series, GPS data, sensor signals, external variables
✓ Automated feature engineering
on high-dimensional temporal data
✓ Handling missing data, outliers and signal variability

Deployment and scalability

✓ End-to-end ML pipeline
from design to production deployment
✓ Scalable architectures
for handling high volumes in real time
✓ Production monitoring
detecting drift and performance degradation

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