Soluciones > Data > Applied AI
We provide Forecasting & Demand Planning solutions that allow for anticipating demand and planning operations with greater accuracy. We apply demand prediction and time series analysis to optimize resources and operational decisions.
Why is demand forecasting key for planning?
Assumption-based planning leads to stockouts, overstock, and late decisions. Demand forecasting allows for anticipating trends, coordinating key areas, and making decisions based on real data.
Solutions within Forecasting & Demand Planning
We have different forecasting capabilities tailored to the type of business, level of granularity, and required time horizon.
Demand forecasting by product/channel/region
We build granular demand prediction models that allow for planning stock, production, and distribution by product, channel, and location.
Trend and seasonality prediction
We detect patterns, cycles, and seasonal events to anticipate demand variations and reduce unexpected operational impacts.
Advanced time series models
We apply time series and machine learning models that adapt to business variability and multiple input signals.
Scenario Planning (what-if)
We simulate alternative scenarios to evaluate strategic decisions, changes in demand, and operational constraints before executing them.
Real stories, extraordinary results
Certifications and Partners
Our team has certifications in cloud platforms and machine learning.
We use forecasting tools to generate scalable predictions based on data
Time series models / ML:
Prophet, ARIMA, XGBoost, LSTM.
Orchestration and pipelines
Airflow, dbt.
Cloud platforms
GCP, Azure.
Our work process
We apply a forecasting methodology that combines business analysis, statistical modeling, and continuous improvement.
Understanding of the business and demand drivers
We analyze key variables that impact sales and operations.
Data collection and preparation
We integrate historical, operational, and external sources.
Modeling and approach selection
We evaluate different models based on horizon and granularity.
Validation and backtesting
We measure accuracy and robustness against historical data.
Integration with operational planning
We connect forecasting with supply and operations processes.
Monitoring and recalibration
We adjust models to sustain results over time.
Specialized work team
Our service is supported by roles with experience in demand forecasting and operational planning.
Data Scientist
Design and train forecasting and time series models.
ML Engineer
Implement models in production in a scalable way.
Analytics Engineer (for pipelines)
Build pipelines and ensure data quality.
Business Consultant (planning/supply)
Translate model results into operational decisions.
Specialized staffing for AI projects
Through our staffing of AI specialists, we incorporate professionals who integrate into your team to accelerate forecasting projects and optimize operational planning.