
Eucatex enhances demand forecasting with artificial intelligence
The solution enabled greater accuracy in projections, optimizing decision-making and boosting operational efficiency.

Predictive models that anticipate product and service demand, optimize inventory and set strategic prices to maximize margin and revenue.
Our Demand & Price Forecast accelerator combines advanced time series models with external variables to generate high-precision forecasts. The solution integrates with your inventory.
Granular models that predict sales volume by product, store, and period with over 90% accuracy.
Algorithms that calculate optimal inventory levels considering lead time, demand variability, and stockout costs.
Price-elasticity analysis that identifies the impact of price changes on demand by segment and product.
Revenue projections by product line, channel, and region with optimistic, conservative, and pessimistic scenarios.
Automated purchase volume and replenishment recommendations based on demand forecasts and service targets.
Identification and modeling of seasonal patterns, trends, and cycles to anticipate demand peaks and valleys.
SKU/store demand forecasting, replenishment optimization, and seasonal pricing to maximize sales and margin.
Forecast-based production planning, waste reduction, and factory capacity optimization.
Demand forecasting by channel and region, procurement optimization, and service level management.
Forecasting by category and channel, promotional planning, and product cannibalization analysis.
Drug demand forecasting, inventory shelf-life management, and regulatory compliance.
Perishable product forecasting, waste reduction, and mix optimization by point of sale.
Analysis of the quality and availability of historical sales, inventory, pricing, and external variable data.
Selection and training of forecast models suited to the data profile and forecast horizon.
Testing models with historical data to validate accuracy and calibrate confidence parameters.
Integration with planning and pricing systems with automated forecast update pipelines.
Continuous accuracy tracking, periodic retraining, and incorporation of new variables.
Analysis of the quality and availability of historical sales, inventory, pricing, and external variable data.
Selection and training of forecast models suited to the data profile and forecast horizon.
Testing models with historical data to validate accuracy and calibrate confidence parameters.
Integration with planning and pricing systems with automated forecast update pipelines.
Continuous accuracy tracking, periodic retraining, and incorporation of new variables.

Intelligent recommendation engine that identifies the best offer, product or action for each customer at the right moment.
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Algorithms that define the ideal product assortment by store, channel and region, maximizing sales and reducing waste.
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Automated dynamic pricing that adjusts prices based on demand, competition, elasticity and business objectives.
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Intelligent segmentation that creates detailed and actionable personas from behavioral, demographic and transactional data.
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Pre-configured vertical accelerators with models, data and pipelines optimized for specific challenges in each industry.
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Optimization algorithms that improve resource allocation, operational processes and business outcomes using AI and operational data.
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Predictive models that identify employees at risk of absence or resignation and recommend preventive retention actions.
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Generative AI accelerators with RAG, corporate assistants, content automation and intelligent chatbots ready for production.
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Fraud detection models that identify suspicious transactions with high precision, low false positives and millisecond response times.
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Predictive models that identify customers at risk of cancellation and recommend personalized retention actions.
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Competitive monitoring and market analysis platforms with automated data collection and AI-generated insights.
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