“We transform data into predictions: advanced models that anticipate demand, optimize inventory, prevent risks, and maximize business opportunities”

Key Benefits

Demand Forecasting

Accurately predict purchasing patterns, seasonality and market trends to optimize your production and logistics.

Opportunity Detection

Identify potential customers, emerging products and untapped markets before your competitors.

Risk Reduction

Anticipate financial problems, fraud or operational failures with predictive models trained on historical data.

Resource Optimization

Allocate staff, inventory and budget where most needed based on accurate predictions.

Advanced Personalization

Predict individual customer behavior to deliver hyper-personalized experiences.

Predictive Maintenance

Anticipate equipment failures before they occur, minimizing downtime.

Our Predictive Solutions

Predictive AI Models for Every Need

Sales Forecasting

Models that predict sales volumes by product, region and season with up to 95% accuracy.

Churn Prediction

Identifies customers at risk of leaving your brand with 6 months advance notice.

Credit Scoring

Evaluates credit risk of customers and business partners with advanced models.

Price Optimization

Determines optimal pricing to maximize profits based on predictive elasticity.

Failure Prediction

Anticipates industrial equipment problems before they occur, reducing maintenance costs.

Sentiment Analysis

Predicts market trends and public opinion before they impact sales.

Inventory Planning

Optimizes stock levels to prevent overstocking or shortages using predictive models.

Fraud Detection

Identifies suspicious patterns and fraudulent transactions in real time.

Custom Models: Our predictive AI systems are trained with your specific data. Need to predict a particular KPI? Contact us at predictive@ai-innovation.com to develop tailored solutions.

How We Implement Predictive AI

From data to actionable predictions in 4 steps

We implement Predictive AI solutions through a proven methodology:

  1. Data Analysis: We evaluate quality, structure and patterns in your historical data.
  2. Model Design: We select the most suitable predictive algorithms for your needs.
  3. Training & Validation: We develop and test the model with real data.
  4. Implementation: We integrate predictions into your operational systems.
  5. Continuous Monitoring: We periodically adjust the model to maintain accuracy.
  6. Visualization: We present predictive insights in actionable dashboards.

Our approach ensures accurate predictions and seamless integration with your operations.

  • Historical data: Minimum 12-24 months of operational data
  • Infrastructure: Can be deployed in cloud or on-premise
  • Integration: Compatible with ERP, CRM and legacy systems
  • Team: Assign an internal project lead
  • Clear objectives: Define which KPIs need prediction

We adapt to your current technological infrastructure.

Success Stories

Predictive AI reduced our excess inventory by 40% and increased availability of key products by 28%. Demand forecasts are now 92% accurate.

Carlos Márquez - Retail

Our predictive model identifies 85% of at-risk customers 3 months in advance, allowing us to implement retention strategies on time.

Ana López - Banking

Predictive maintenance reduced our unplanned downtime by 75% and extended equipment lifespan by 30%.

Ricardo Torres - Manufacturing

Our predictive model identifies high-risk patients with 89% accuracy, enabling early interventions that improve clinical outcomes.

Laura Díaz - Healthcare

Predictive route optimization reduced our fuel costs by 22% and improved delivery times by 35%.

Fernando Castro - Logistics

Our predictive fraud detection system identifies 95% of fraudulent cases in real time, saving us millions annually.

Patricia Ríos - Telecommunications

Frequently Asked Questions About Predictive AI

We answer your main concerns:

Our models typically achieve 85-95% accuracy, depending on data quality and quantity available. We implement advanced techniques to maximize precision.

We recommend minimum 12 months of data for basic models, ideally 24+ months for more precise predictions. In some cases we can work with less data using specialized techniques.

Our models include self-adjusting mechanisms that detect trend changes and automatically recalibrate to maintain predictive accuracy.

We work with structured (sales, transactions) and unstructured (text, images) data. We can even combine multiple data sources to enrich predictions.

Yes, we offer 4-6 week pilots where we develop a basic predictive model for you to evaluate its potential with your real data.

It goes beyond extrapolating trends. Our models detect complex nonlinear patterns and variable interactions that traditional methods cannot capture.

We offer APIs, plugins and connectors for major ERP, CRM and BI systems. We also develop custom integrations when needed.

We recommend quarterly recalibrations and continuous monitoring. We offer maintenance plans according to your needs.

Yes, we use specialized techniques like unbalanced learning and anomaly detection to identify infrequent but critical events.

We define clear metrics from the start (cost reduction, revenue increase) and compare results before/after implementation.